def radard_thread(sm=None, pm=None, can_sock=None):
set_realtime_priority(2)
# wait for stats about the car to come in from controls
cloudlog.info("radard is waiting for CarParams")
CP = car.CarParams.from_bytes(Params().get("CarParams", block=True))
mocked = CP.carName == "mock"
cloudlog.info("radard got CarParams")
# import the radar from the fingerprint
cloudlog.info("radard is importing %s", CP.carName)
RadarInterface = importlib.import_module(
'selfdrive.car.%s.radar_interface' % CP.carName).RadarInterface
if can_sock is None:
can_sock = messaging.sub_sock(service_list['can'].port)
if sm is None:
sm = messaging.SubMaster(['model', 'controlsState', 'liveParameters'])
# *** publish radarState and liveTracks
if pm is None:
pm = messaging.PubMaster(['radarState', 'liveTracks'])
RI = RadarInterface(CP)
rk = Ratekeeper(rate, print_delay_threshold=None)
RD = RadarD(mocked)
has_radar = not CP.radarOffCan
while 1:
can_strings = messaging.drain_sock_raw(can_sock, wait_for_one=True)
rr = RI.update(can_strings)
if rr is None:
continue
sm.update(0)
dat = RD.update(rk.frame, RI.delay, sm, rr, has_radar)
dat.radarState.cumLagMs = -rk.remaining * 1000.
pm.send('radarState', dat)
# *** publish tracks for UI debugging (keep last) ***
tracks = RD.tracks
dat = messaging.new_message()
dat.init('liveTracks', len(tracks))
for cnt, ids in enumerate(tracks.keys()):
dat.liveTracks[cnt] = {
"trackId": ids,
"dRel": float(tracks[ids].dRel),
"yRel": float(tracks[ids].yRel),
"vRel": float(tracks[ids].vRel),
}
pm.send('liveTracks', dat)
rk.monitor_time()
def radard_thread(sm=None, pm=None, can_sock=None):
config_realtime_process(5, Priority.CTRL_LOW)
# wait for stats about the car to come in from controls
cloudlog.info("radard is waiting for CarParams")
CP = car.CarParams.from_bytes(Params().get("CarParams", block=True))
cloudlog.info("radard got CarParams")
# import the radar from the fingerprint
cloudlog.info("radard is importing %s", CP.carName)
RadarInterface = importlib.import_module(
f'selfdrive.car.{CP.carName}.radar_interface').RadarInterface
# *** setup messaging
if can_sock is None:
can_sock = messaging.sub_sock('can')
if sm is None:
sm = messaging.SubMaster(
['modelV2', 'carState'], ignore_avg_freq=[
'modelV2', 'carState'
]) # Can't check average frequency, since radar determines timing
if pm is None:
pm = messaging.PubMaster(['radarState', 'liveTracks'])
RI = RadarInterface(CP)
rk = Ratekeeper(1.0 / CP.radarTimeStep, print_delay_threshold=None)
RD = RadarD(CP.radarTimeStep, RI.delay)
# TODO: always log leads once we can hide them conditionally
enable_lead = CP.openpilotLongitudinalControl or not CP.radarOffCan
while 1:
can_strings = messaging.drain_sock_raw(can_sock, wait_for_one=True)
rr = RI.update(can_strings)
if rr is None:
continue
sm.update(0)
dat = RD.update(sm, rr, enable_lead)
dat.radarState.cumLagMs = -rk.remaining * 1000.
pm.send('radarState', dat)
# *** publish tracks for UI debugging (keep last) ***
tracks = RD.tracks
dat = messaging.new_message('liveTracks', len(tracks))
for cnt, ids in enumerate(sorted(tracks.keys())):
dat.liveTracks[cnt] = {
"trackId": ids,
"dRel": float(tracks[ids].dRel),
"yRel": float(tracks[ids].yRel),
"vRel": float(tracks[ids].vRel),
}
pm.send('liveTracks', dat)
rk.monitor_time()
def flyingcand_thread(sm=None, pm=None, flying_can_sock=None):
set_realtime_priority(52)
# wait for stats about the car to come in from controls
cloudlog.info("flyingcand is waiting for CarParams")
CP = car.CarParams.from_bytes(Params().get("CarParams", block=True))
cloudlog.info("flyingcand got CarParams")
# import the wifi interfaces
cloudlog.info("flyingcand is importing flying can interfaces")
flyingCanInterface = importlib.import_module('selfdrive.controls.lib.flyingcan_interface').FlyingCANInterface
if flying_can_sock is None:
flying_can_sock = messaging.sub_sock('flying_can')
if sm is None:
sm = messaging.SubMaster(['model', 'controlsState', 'liveParameters', 'gpsLocation', 'gpsNMEA', 'sensorEvents'])
# *** publish wifiState and liveTracks
if pm is None:
pm = messaging.PubMaster(['wifiState', 'liveTracks'])
FI = flyingCanInterface(CP)
rk = Ratekeeper(1.0 / CP.radarTimeStep, print_delay_threshold=None)
FCD = FlyingCanD(CP.radarTimeStep, FI.delay)
has_radar = not CP.radarOffCan
while 1:
can_strings = messaging.drain_sock_raw(flying_can_sock, wait_for_one=True)
rr = FI.update(can_strings)
if rr is None:
continue
sm.update(0)
dat = FCD.update(rk.frame, sm, rr, has_radar)
dat.radarState.cumLagMs = -rk.remaining*1000.
pm.send('radarState', dat)
# *** publish tracks for UI debugging (keep last) ***
tracks = FCD.tracks
dat = messaging.new_message('liveTracks', len(tracks))
for cnt, ids in enumerate(sorted(tracks.keys())):
dat.liveTracks[cnt] = {
"trackId": ids,
"dRel": float(tracks[ids].dRel),
"yRel": float(tracks[ids].yRel),
"vRel": float(tracks[ids].vRel),
}
pm.send('liveTracks', dat)
rk.monitor_time()
class Plant():
messaging_initialized = False
def __init__(self,
lead_relevancy=False,
rate=100,
speed=0.0,
distance_lead=2.0):
self.rate = rate
if not Plant.messaging_initialized:
Plant.pm = messaging.PubMaster(
['roadCameraState', 'driverCameraState', 'ubloxRaw'])
Plant.logcan = messaging.pub_sock('can')
Plant.sendcan = messaging.sub_sock('sendcan')
Plant.model = messaging.pub_sock('modelV2')
Plant.live_params = messaging.pub_sock('liveParameters')
Plant.live_location_kalman = messaging.pub_sock(
'liveLocationKalman')
Plant.pandaState = messaging.pub_sock('pandaState')
Plant.deviceState = messaging.pub_sock('deviceState')
Plant.driverMonitoringState = messaging.pub_sock(
'driverMonitoringState')
Plant.cal = messaging.pub_sock('liveCalibration')
Plant.controls_state = messaging.sub_sock('controlsState')
Plant.plan = messaging.sub_sock('longitudinalPlan')
Plant.messaging_initialized = True
self.frame = 0
self.angle_steer = 0.
self.gear_choice = 0
self.speed, self.speed_prev = 0., 0.
self.esp_disabled = 0
self.main_on = 1
self.user_gas = 0
self.computer_brake, self.user_brake = 0, 0
self.brake_pressed = 0
self.angle_steer_rate = 0
self.distance, self.distance_prev = 0., 0.
self.speed, self.speed_prev = speed, speed
self.steer_error, self.brake_error, self.steer_not_allowed = 0, 0, 0
self.gear_shifter = 8 # D gear
self.pedal_gas = 0
self.cruise_setting = 0
self.seatbelt, self.door_all_closed = True, True
self.steer_torque, self.v_cruise, self.acc_status = 0, 0, 0 # v_cruise is reported from can, not the one used for controls
self.lead_relevancy = lead_relevancy
# lead car
self.distance_lead, self.distance_lead_prev = distance_lead, distance_lead
self.rk = Ratekeeper(rate, print_delay_threshold=100)
self.ts = 1. / rate
self.cp = get_car_can_parser()
self.response_seen = False
time.sleep(1)
messaging.drain_sock(Plant.sendcan)
messaging.drain_sock(Plant.controls_state)
def close(self):
Plant.logcan.close()
Plant.model.close()
Plant.live_params.close()
Plant.live_location_kalman.close()
def speed_sensor(self, speed):
if speed < 0.3:
return 0
else:
return speed * CV.MS_TO_KPH
def current_time(self):
return float(self.rk.frame) / self.rate
def step(self,
v_lead=0.0,
cruise_buttons=None,
grade=0.0,
publish_model=True):
gen_signals, gen_checks = get_can_signals(CP)
sgs = [s[0] for s in gen_signals]
msgs = [s[1] for s in gen_signals]
cks_msgs = set(check[0] for check in gen_checks)
cks_msgs.add(0x18F)
cks_msgs.add(0x30C)
# ******** get messages sent to the car ********
can_strings = messaging.drain_sock_raw(Plant.sendcan,
wait_for_one=self.response_seen)
# After the first response the car is done fingerprinting, so we can run in lockstep with controlsd
if can_strings:
self.response_seen = True
self.cp.update_strings(can_strings, sendcan=True)
# ******** get controlsState messages for plotting ***
controls_state_msgs = []
for a in messaging.drain_sock(Plant.controls_state,
wait_for_one=self.response_seen):
controls_state_msgs.append(a.controlsState)
fcw = None
for a in messaging.drain_sock(Plant.plan):
if a.longitudinalPlan.fcw:
fcw = True
if self.cp.vl[0x1fa]['COMPUTER_BRAKE_REQUEST']:
brake = self.cp.vl[0x1fa]['COMPUTER_BRAKE'] * 0.003906248
else:
brake = 0.0
if self.cp.vl[0x200]['GAS_COMMAND'] > 0:
gas = self.cp.vl[0x200]['GAS_COMMAND'] / 256.0
else:
gas = 0.0
if self.cp.vl[0xe4]['STEER_TORQUE_REQUEST']:
steer_torque = self.cp.vl[0xe4]['STEER_TORQUE'] * 1.0 / 0xf00
else:
steer_torque = 0.0
distance_lead = self.distance_lead_prev + v_lead * self.ts
# ******** run the car ********
speed, acceleration = car_plant(self.distance_prev, self.speed_prev,
grade, gas, brake)
distance = self.distance_prev + speed * self.ts
speed = self.speed_prev + self.ts * acceleration
if speed <= 0:
speed = 0
acceleration = 0
# ******** lateral ********
self.angle_steer -= (steer_torque / 10.0) * self.ts
# *** radar model ***
if self.lead_relevancy:
d_rel = np.maximum(0., distance_lead - distance)
v_rel = v_lead - speed
else:
d_rel = 200.
v_rel = 0.
lateral_pos_rel = 0.
# print at 5hz
if (self.frame % (self.rate // 5)) == 0:
print(
"%6.2f m %6.2f m/s %6.2f m/s2 %.2f ang gas: %.2f brake: %.2f steer: %5.2f lead_rel: %6.2f m %6.2f m/s"
% (distance, speed, acceleration, self.angle_steer, gas, brake,
steer_torque, d_rel, v_rel))
# ******** publish the car ********
vls_tuple = namedtuple('vls', [
'XMISSION_SPEED',
'WHEEL_SPEED_FL',
'WHEEL_SPEED_FR',
'WHEEL_SPEED_RL',
'WHEEL_SPEED_RR',
'STEER_ANGLE',
'STEER_ANGLE_RATE',
'STEER_TORQUE_SENSOR',
'STEER_TORQUE_MOTOR',
'LEFT_BLINKER',
'RIGHT_BLINKER',
'GEAR',
'WHEELS_MOVING',
'BRAKE_ERROR_1',
'BRAKE_ERROR_2',
'SEATBELT_DRIVER_LAMP',
'SEATBELT_DRIVER_LATCHED',
'BRAKE_PRESSED',
'BRAKE_SWITCH',
'CRUISE_BUTTONS',
'ESP_DISABLED',
'HUD_LEAD',
'USER_BRAKE',
'STEER_STATUS',
'GEAR_SHIFTER',
'PEDAL_GAS',
'CRUISE_SETTING',
'ACC_STATUS',
'CRUISE_SPEED_PCM',
'CRUISE_SPEED_OFFSET',
'DOOR_OPEN_FL',
'DOOR_OPEN_FR',
'DOOR_OPEN_RL',
'DOOR_OPEN_RR',
'CAR_GAS',
'MAIN_ON',
'EPB_STATE',
'BRAKE_HOLD_ACTIVE',
'INTERCEPTOR_GAS',
'INTERCEPTOR_GAS2',
'IMPERIAL_UNIT',
'MOTOR_TORQUE',
])
vls = vls_tuple(
self.speed_sensor(speed),
self.speed_sensor(speed),
self.speed_sensor(speed),
self.speed_sensor(speed),
self.speed_sensor(speed),
self.angle_steer,
self.angle_steer_rate,
0,
0, # Steer torque sensor
0,
0, # Blinkers
self.gear_choice,
speed != 0,
self.brake_error,
self.brake_error,
not self.seatbelt,
self.seatbelt, # Seatbelt
self.brake_pressed,
0., # Brake pressed, Brake switch
cruise_buttons,
self.esp_disabled,
0, # HUD lead
self.user_brake,
self.steer_error,
self.gear_shifter,
self.pedal_gas,
self.cruise_setting,
self.acc_status,
self.v_cruise,
0, # Cruise speed offset
0,
0,
0,
0, # Doors
self.user_gas,
self.main_on,
0, # EPB State
0, # Brake hold
0, # Interceptor feedback
0, # Interceptor 2 feedback
False,
0,
)
# TODO: publish each message at proper frequency
can_msgs = []
for msg in set(msgs):
msg_struct = {}
indxs = [i for i, x in enumerate(msgs) if msg == msgs[i]]
for i in indxs:
msg_struct[sgs[i]] = getattr(vls, sgs[i])
if "COUNTER" in honda.get_signals(msg):
msg_struct["COUNTER"] = self.frame % 4
if "COUNTER_PEDAL" in honda.get_signals(msg):
msg_struct["COUNTER_PEDAL"] = self.frame % 0xf
msg = honda.lookup_msg_id(msg)
msg_data = honda.encode(msg, msg_struct)
if "CHECKSUM" in honda.get_signals(msg):
msg_data = fix(msg_data, msg)
if "CHECKSUM_PEDAL" in honda.get_signals(msg):
msg_struct["CHECKSUM_PEDAL"] = crc8_pedal(msg_data[:-1])
msg_data = honda.encode(msg, msg_struct)
can_msgs.append([msg, 0, msg_data, 0])
# add the radar message
# TODO: use the DBC
if self.frame % 5 == 0:
radar_state_msg = b'\x79\x00\x00\x00\x00\x00\x00\x00'
radar_msg = to_3_byte(d_rel * 16.0) + \
to_3_byte(int(lateral_pos_rel * 16.0) & 0x3ff) + \
to_3s_byte(int(v_rel * 32.0)) + \
b"0f00000"
radar_msg = binascii.unhexlify(radar_msg)
can_msgs.append([0x400, 0, radar_state_msg, 1])
can_msgs.append([0x445, 0, radar_msg, 1])
# add camera msg so controlsd thinks it's alive
msg_struct["COUNTER"] = self.frame % 4
msg = honda.lookup_msg_id(0xe4)
msg_data = honda.encode(msg, msg_struct)
msg_data = fix(msg_data, 0xe4)
can_msgs.append([0xe4, 0, msg_data, 2])
# Fake sockets that controlsd subscribes to
live_parameters = messaging.new_message('liveParameters')
live_parameters.liveParameters.valid = True
live_parameters.liveParameters.sensorValid = True
live_parameters.liveParameters.posenetValid = True
live_parameters.liveParameters.steerRatio = CP.steerRatio
live_parameters.liveParameters.stiffnessFactor = 1.0
Plant.live_params.send(live_parameters.to_bytes())
dmon_state = messaging.new_message('driverMonitoringState')
dmon_state.driverMonitoringState.isDistracted = False
Plant.driverMonitoringState.send(dmon_state.to_bytes())
pandaState = messaging.new_message('pandaState')
pandaState.pandaState.safetyModel = car.CarParams.SafetyModel.hondaNidec
pandaState.pandaState.controlsAllowed = True
Plant.pandaState.send(pandaState.to_bytes())
deviceState = messaging.new_message('deviceState')
deviceState.deviceState.freeSpacePercent = 1.
deviceState.deviceState.batteryPercent = 100
Plant.deviceState.send(deviceState.to_bytes())
live_location_kalman = messaging.new_message('liveLocationKalman')
live_location_kalman.liveLocationKalman.inputsOK = True
live_location_kalman.liveLocationKalman.gpsOK = True
Plant.live_location_kalman.send(live_location_kalman.to_bytes())
# ******** publish a fake model going straight and fake calibration ********
# note that this is worst case for MPC, since model will delay long mpc by one time step
if publish_model and self.frame % 5 == 0:
md = messaging.new_message('modelV2')
cal = messaging.new_message('liveCalibration')
md.modelV2.frameId = 0
if self.lead_relevancy:
d_rel = np.maximum(0., distance_lead - distance)
v_rel = v_lead - speed
prob = 1.0
else:
d_rel = 200.
v_rel = 0.
prob = 0.0
lead = log.ModelDataV2.LeadDataV2.new_message()
lead.xyva = [float(d_rel), 0.0, float(v_rel), 0.0]
lead.xyvaStd = [1.0, 1.0, 1.0, 1.0]
lead.prob = prob
md.modelV2.leads = [lead, lead]
cal.liveCalibration.calStatus = 1
cal.liveCalibration.calPerc = 100
cal.liveCalibration.rpyCalib = [0.] * 3
# fake values?
Plant.model.send(md.to_bytes())
Plant.cal.send(cal.to_bytes())
for s in Plant.pm.sock.keys():
try:
Plant.pm.send(s, messaging.new_message(s))
except Exception:
Plant.pm.send(s, messaging.new_message(s, 1))
Plant.logcan.send(can_list_to_can_capnp(can_msgs))
# ******** update prevs ********
self.frame += 1
if self.response_seen:
self.rk.monitor_time()
self.speed = speed
self.distance = distance
self.distance_lead = distance_lead
self.speed_prev = speed
self.distance_prev = distance
self.distance_lead_prev = distance_lead
else:
# Don't advance time when controlsd is not yet ready
self.rk.keep_time()
self.rk._frame = 0
return {
"distance": distance,
"speed": speed,
"acceleration": acceleration,
"distance_lead": distance_lead,
"brake": brake,
"gas": gas,
"steer_torque": steer_torque,
"fcw": fcw,
"controls_state_msgs": controls_state_msgs,
}
class Controls:
def __init__(self, sm=None, pm=None, can_sock=None, CI=None):
config_realtime_process(4, Priority.CTRL_HIGH)
# Setup sockets
self.pm = pm
if self.pm is None:
self.pm = messaging.PubMaster(['sendcan', 'controlsState', 'carState',
'carControl', 'carEvents', 'carParams'])
self.camera_packets = ["roadCameraState", "driverCameraState"]
if TICI:
self.camera_packets.append("wideRoadCameraState")
self.can_sock = can_sock
if can_sock is None:
can_timeout = None if os.environ.get('NO_CAN_TIMEOUT', False) else 20
self.can_sock = messaging.sub_sock('can', timeout=can_timeout)
if TICI:
self.log_sock = messaging.sub_sock('androidLog')
if CI is None:
# wait for one pandaState and one CAN packet
print("Waiting for CAN messages...")
get_one_can(self.can_sock)
self.CI, self.CP = get_car(self.can_sock, self.pm.sock['sendcan'])
else:
self.CI, self.CP = CI, CI.CP
params = Params()
self.joystick_mode = params.get_bool("JoystickDebugMode") or (self.CP.notCar and sm is None)
joystick_packet = ['testJoystick'] if self.joystick_mode else []
self.sm = sm
if self.sm is None:
ignore = ['driverCameraState', 'managerState'] if SIMULATION else None
self.sm = messaging.SubMaster(['deviceState', 'pandaStates', 'peripheralState', 'modelV2', 'liveCalibration',
'driverMonitoringState', 'longitudinalPlan', 'lateralPlan', 'liveLocationKalman',
'managerState', 'liveParameters', 'radarState'] + self.camera_packets + joystick_packet,
ignore_alive=ignore, ignore_avg_freq=['radarState', 'longitudinalPlan'])
# set alternative experiences from parameters
self.disengage_on_accelerator = params.get_bool("DisengageOnAccelerator")
self.CP.alternativeExperience = 0
if not self.disengage_on_accelerator:
self.CP.alternativeExperience |= ALTERNATIVE_EXPERIENCE.DISABLE_DISENGAGE_ON_GAS
# read params
self.is_metric = params.get_bool("IsMetric")
self.is_ldw_enabled = params.get_bool("IsLdwEnabled")
openpilot_enabled_toggle = params.get_bool("OpenpilotEnabledToggle")
passive = params.get_bool("Passive") or not openpilot_enabled_toggle
# detect sound card presence and ensure successful init
sounds_available = HARDWARE.get_sound_card_online()
car_recognized = self.CP.carName != 'mock'
controller_available = self.CI.CC is not None and not passive and not self.CP.dashcamOnly
self.read_only = not car_recognized or not controller_available or self.CP.dashcamOnly
if self.read_only:
safety_config = car.CarParams.SafetyConfig.new_message()
safety_config.safetyModel = car.CarParams.SafetyModel.noOutput
self.CP.safetyConfigs = [safety_config]
# Write CarParams for radard
cp_bytes = self.CP.to_bytes()
params.put("CarParams", cp_bytes)
put_nonblocking("CarParamsCache", cp_bytes)
self.CC = car.CarControl.new_message()
self.CS_prev = car.CarState.new_message()
self.AM = AlertManager()
self.events = Events()
self.LoC = LongControl(self.CP)
self.VM = VehicleModel(self.CP)
self.LaC: LatControl
if self.CP.steerControlType == car.CarParams.SteerControlType.angle:
self.LaC = LatControlAngle(self.CP, self.CI)
elif self.CP.lateralTuning.which() == 'pid':
self.LaC = LatControlPID(self.CP, self.CI)
elif self.CP.lateralTuning.which() == 'indi':
self.LaC = LatControlINDI(self.CP, self.CI)
elif self.CP.lateralTuning.which() == 'torque':
self.LaC = LatControlTorque(self.CP, self.CI)
self.initialized = False
self.state = State.disabled
self.enabled = False
self.active = False
self.can_rcv_error = False
self.soft_disable_timer = 0
self.v_cruise_kph = 255
self.v_cruise_kph_last = 0
self.mismatch_counter = 0
self.cruise_mismatch_counter = 0
self.can_rcv_error_counter = 0
self.last_blinker_frame = 0
self.distance_traveled = 0
self.last_functional_fan_frame = 0
self.events_prev = []
self.current_alert_types = [ET.PERMANENT]
self.logged_comm_issue = None
self.button_timers = {ButtonEvent.Type.decelCruise: 0, ButtonEvent.Type.accelCruise: 0}
self.last_actuators = car.CarControl.Actuators.new_message()
self.desired_curvature = 0.0
self.desired_curvature_rate = 0.0
# TODO: no longer necessary, aside from process replay
self.sm['liveParameters'].valid = True
self.startup_event = get_startup_event(car_recognized, controller_available, len(self.CP.carFw) > 0)
if not sounds_available:
self.events.add(EventName.soundsUnavailable, static=True)
if not car_recognized:
self.events.add(EventName.carUnrecognized, static=True)
if len(self.CP.carFw) > 0:
set_offroad_alert("Offroad_CarUnrecognized", True)
else:
set_offroad_alert("Offroad_NoFirmware", True)
elif self.read_only:
self.events.add(EventName.dashcamMode, static=True)
elif self.joystick_mode:
self.events.add(EventName.joystickDebug, static=True)
self.startup_event = None
# controlsd is driven by can recv, expected at 100Hz
self.rk = Ratekeeper(100, print_delay_threshold=None)
self.prof = Profiler(False) # off by default
def update_events(self, CS):
"""Compute carEvents from carState"""
self.events.clear()
# Add startup event
if self.startup_event is not None:
self.events.add(self.startup_event)
self.startup_event = None
# Don't add any more events if not initialized
if not self.initialized:
self.events.add(EventName.controlsInitializing)
return
# Disable on rising edge of accelerator or brake. Also disable on brake when speed > 0
if (CS.gasPressed and not self.CS_prev.gasPressed and self.disengage_on_accelerator) or \
(CS.brakePressed and (not self.CS_prev.brakePressed or not CS.standstill)):
self.events.add(EventName.pedalPressed)
if CS.gasPressed:
self.events.add(EventName.pedalPressedPreEnable if self.disengage_on_accelerator else
EventName.gasPressedOverride)
if not self.CP.notCar:
self.events.add_from_msg(self.sm['driverMonitoringState'].events)
# Handle car events. Ignore when CAN is invalid
if CS.canTimeout:
self.events.add(EventName.canBusMissing)
elif not CS.canValid:
self.events.add(EventName.canError)
else:
self.events.add_from_msg(CS.events)
# Create events for temperature, disk space, and memory
if self.sm['deviceState'].thermalStatus >= ThermalStatus.red:
self.events.add(EventName.overheat)
if self.sm['deviceState'].freeSpacePercent < 7 and not SIMULATION:
# under 7% of space free no enable allowed
self.events.add(EventName.outOfSpace)
# TODO: make tici threshold the same
if self.sm['deviceState'].memoryUsagePercent > 90 and not SIMULATION:
self.events.add(EventName.lowMemory)
# TODO: enable this once loggerd CPU usage is more reasonable
#cpus = list(self.sm['deviceState'].cpuUsagePercent)
#if max(cpus, default=0) > 95 and not SIMULATION:
# self.events.add(EventName.highCpuUsage)
# Alert if fan isn't spinning for 5 seconds
if self.sm['peripheralState'].pandaType == PandaType.dos:
if self.sm['peripheralState'].fanSpeedRpm == 0 and self.sm['deviceState'].fanSpeedPercentDesired > 50:
if (self.sm.frame - self.last_functional_fan_frame) * DT_CTRL > 5.0:
self.events.add(EventName.fanMalfunction)
else:
self.last_functional_fan_frame = self.sm.frame
# Handle calibration status
cal_status = self.sm['liveCalibration'].calStatus
if cal_status != Calibration.CALIBRATED:
if cal_status == Calibration.UNCALIBRATED:
self.events.add(EventName.calibrationIncomplete)
else:
self.events.add(EventName.calibrationInvalid)
# Handle lane change
if self.sm['lateralPlan'].laneChangeState == LaneChangeState.preLaneChange:
direction = self.sm['lateralPlan'].laneChangeDirection
if (CS.leftBlindspot and direction == LaneChangeDirection.left) or \
(CS.rightBlindspot and direction == LaneChangeDirection.right):
self.events.add(EventName.laneChangeBlocked)
else:
if direction == LaneChangeDirection.left:
self.events.add(EventName.preLaneChangeLeft)
else:
self.events.add(EventName.preLaneChangeRight)
elif self.sm['lateralPlan'].laneChangeState in (LaneChangeState.laneChangeStarting,
LaneChangeState.laneChangeFinishing):
self.events.add(EventName.laneChange)
for i, pandaState in enumerate(self.sm['pandaStates']):
# All pandas must match the list of safetyConfigs, and if outside this list, must be silent or noOutput
if i < len(self.CP.safetyConfigs):
safety_mismatch = pandaState.safetyModel != self.CP.safetyConfigs[i].safetyModel or \
pandaState.safetyParam != self.CP.safetyConfigs[i].safetyParam or \
pandaState.alternativeExperience != self.CP.alternativeExperience
else:
safety_mismatch = pandaState.safetyModel not in IGNORED_SAFETY_MODES
if safety_mismatch or self.mismatch_counter >= 200:
self.events.add(EventName.controlsMismatch)
if log.PandaState.FaultType.relayMalfunction in pandaState.faults:
self.events.add(EventName.relayMalfunction)
# Handle HW and system malfunctions
# Order is very intentional here. Be careful when modifying this.
# All events here should at least have NO_ENTRY and SOFT_DISABLE.
num_events = len(self.events)
not_running = {p.name for p in self.sm['managerState'].processes if not p.running and p.shouldBeRunning}
if self.sm.rcv_frame['managerState'] and (not_running - IGNORE_PROCESSES):
self.events.add(EventName.processNotRunning)
else:
if not SIMULATION and not self.rk.lagging:
if not self.sm.all_alive(self.camera_packets):
self.events.add(EventName.cameraMalfunction)
elif not self.sm.all_freq_ok(self.camera_packets):
self.events.add(EventName.cameraFrameRate)
if self.rk.lagging:
self.events.add(EventName.controlsdLagging)
if len(self.sm['radarState'].radarErrors):
self.events.add(EventName.radarFault)
if not self.sm.valid['pandaStates']:
self.events.add(EventName.usbError)
# generic catch-all. ideally, a more specific event should be added above instead
no_system_errors = len(self.events) != num_events
if (not self.sm.all_checks() or self.can_rcv_error) and no_system_errors and CS.canValid and not CS.canTimeout:
if not self.sm.all_alive():
self.events.add(EventName.commIssue)
elif not self.sm.all_freq_ok():
self.events.add(EventName.commIssueAvgFreq)
else: # invalid or can_rcv_error.
self.events.add(EventName.commIssue)
logs = {
'invalid': [s for s, valid in self.sm.valid.items() if not valid],
'not_alive': [s for s, alive in self.sm.alive.items() if not alive],
'not_freq_ok': [s for s, freq_ok in self.sm.freq_ok.items() if not freq_ok],
'can_error': self.can_rcv_error,
}
if logs != self.logged_comm_issue:
cloudlog.event("commIssue", error=True, **logs)
self.logged_comm_issue = logs
else:
self.logged_comm_issue = None
if not self.sm['liveParameters'].valid:
self.events.add(EventName.vehicleModelInvalid)
if not self.sm['lateralPlan'].mpcSolutionValid:
self.events.add(EventName.plannerError)
if not self.sm['liveLocationKalman'].sensorsOK and not NOSENSOR:
if self.sm.frame > 5 / DT_CTRL: # Give locationd some time to receive all the inputs
self.events.add(EventName.sensorDataInvalid)
if not self.sm['liveLocationKalman'].posenetOK:
self.events.add(EventName.posenetInvalid)
if not self.sm['liveLocationKalman'].deviceStable:
self.events.add(EventName.deviceFalling)
if not REPLAY:
# Check for mismatch between openpilot and car's PCM
cruise_mismatch = CS.cruiseState.enabled and (not self.enabled or not self.CP.pcmCruise)
self.cruise_mismatch_counter = self.cruise_mismatch_counter + 1 if cruise_mismatch else 0
if self.cruise_mismatch_counter > int(6. / DT_CTRL):
self.events.add(EventName.cruiseMismatch)
# Check for FCW
stock_long_is_braking = self.enabled and not self.CP.openpilotLongitudinalControl and CS.aEgo < -1.25
model_fcw = self.sm['modelV2'].meta.hardBrakePredicted and not CS.brakePressed and not stock_long_is_braking
planner_fcw = self.sm['longitudinalPlan'].fcw and self.enabled
if planner_fcw or model_fcw:
self.events.add(EventName.fcw)
if TICI:
for m in messaging.drain_sock(self.log_sock, wait_for_one=False):
try:
msg = m.androidLog.message
if any(err in msg for err in ("ERROR_CRC", "ERROR_ECC", "ERROR_STREAM_UNDERFLOW", "APPLY FAILED")):
csid = msg.split("CSID:")[-1].split(" ")[0]
evt = CSID_MAP.get(csid, None)
if evt is not None:
self.events.add(evt)
except UnicodeDecodeError:
pass
# TODO: fix simulator
if not SIMULATION:
if not NOSENSOR:
if not self.sm['liveLocationKalman'].gpsOK and (self.distance_traveled > 1000):
# Not show in first 1 km to allow for driving out of garage. This event shows after 5 minutes
self.events.add(EventName.noGps)
if self.sm['modelV2'].frameDropPerc > 20:
self.events.add(EventName.modeldLagging)
if self.sm['liveLocationKalman'].excessiveResets:
self.events.add(EventName.localizerMalfunction)
# Only allow engagement with brake pressed when stopped behind another stopped car
speeds = self.sm['longitudinalPlan'].speeds
if len(speeds) > 1:
v_future = speeds[-1]
else:
v_future = 100.0
if CS.brakePressed and v_future >= self.CP.vEgoStarting \
and self.CP.openpilotLongitudinalControl and CS.vEgo < 0.3:
self.events.add(EventName.noTarget)
def data_sample(self):
"""Receive data from sockets and update carState"""
# Update carState from CAN
can_strs = messaging.drain_sock_raw(self.can_sock, wait_for_one=True)
CS = self.CI.update(self.CC, can_strs)
self.sm.update(0)
if not self.initialized:
all_valid = CS.canValid and self.sm.all_checks()
if all_valid or self.sm.frame * DT_CTRL > 3.5 or SIMULATION:
if not self.read_only:
self.CI.init(self.CP, self.can_sock, self.pm.sock['sendcan'])
self.initialized = True
if REPLAY and self.sm['pandaStates'][0].controlsAllowed:
self.state = State.enabled
Params().put_bool("ControlsReady", True)
# Check for CAN timeout
if not can_strs:
self.can_rcv_error_counter += 1
self.can_rcv_error = True
else:
self.can_rcv_error = False
# When the panda and controlsd do not agree on controls_allowed
# we want to disengage openpilot. However the status from the panda goes through
# another socket other than the CAN messages and one can arrive earlier than the other.
# Therefore we allow a mismatch for two samples, then we trigger the disengagement.
if not self.enabled:
self.mismatch_counter = 0
# All pandas not in silent mode must have controlsAllowed when openpilot is enabled
if self.enabled and any(not ps.controlsAllowed for ps in self.sm['pandaStates']
if ps.safetyModel not in IGNORED_SAFETY_MODES):
self.mismatch_counter += 1
self.distance_traveled += CS.vEgo * DT_CTRL
return CS
def state_transition(self, CS):
"""Compute conditional state transitions and execute actions on state transitions"""
self.v_cruise_kph_last = self.v_cruise_kph
# if stock cruise is completely disabled, then we can use our own set speed logic
if not self.CP.pcmCruise:
self.v_cruise_kph = update_v_cruise(self.v_cruise_kph, CS.vEgo, CS.gasPressed, CS.buttonEvents,
self.button_timers, self.enabled, self.is_metric)
else:
if CS.cruiseState.available:
self.v_cruise_kph = CS.cruiseState.speed * CV.MS_TO_KPH
else:
self.v_cruise_kph = 0
# decrement the soft disable timer at every step, as it's reset on
# entrance in SOFT_DISABLING state
self.soft_disable_timer = max(0, self.soft_disable_timer - 1)
self.current_alert_types = [ET.PERMANENT]
# ENABLED, SOFT DISABLING, PRE ENABLING, OVERRIDING
if self.state != State.disabled:
# user and immediate disable always have priority in a non-disabled state
if self.events.any(ET.USER_DISABLE):
self.state = State.disabled
self.current_alert_types.append(ET.USER_DISABLE)
elif self.events.any(ET.IMMEDIATE_DISABLE):
self.state = State.disabled
self.current_alert_types.append(ET.IMMEDIATE_DISABLE)
else:
# ENABLED
if self.state == State.enabled:
if self.events.any(ET.SOFT_DISABLE):
self.state = State.softDisabling
self.soft_disable_timer = int(SOFT_DISABLE_TIME / DT_CTRL)
self.current_alert_types.append(ET.SOFT_DISABLE)
elif self.events.any(ET.OVERRIDE):
self.state = State.overriding
self.current_alert_types.append(ET.OVERRIDE)
# SOFT DISABLING
elif self.state == State.softDisabling:
if not self.events.any(ET.SOFT_DISABLE):
# no more soft disabling condition, so go back to ENABLED
self.state = State.enabled
elif self.soft_disable_timer > 0:
self.current_alert_types.append(ET.SOFT_DISABLE)
elif self.soft_disable_timer <= 0:
self.state = State.disabled
# PRE ENABLING
elif self.state == State.preEnabled:
if self.events.any(ET.NO_ENTRY):
self.state = State.disabled
self.current_alert_types.append(ET.NO_ENTRY)
elif not self.events.any(ET.PRE_ENABLE):
self.state = State.enabled
else:
self.current_alert_types.append(ET.PRE_ENABLE)
# OVERRIDING
elif self.state == State.overriding:
if self.events.any(ET.SOFT_DISABLE):
self.state = State.softDisabling
self.soft_disable_timer = int(SOFT_DISABLE_TIME / DT_CTRL)
self.current_alert_types.append(ET.SOFT_DISABLE)
elif not self.events.any(ET.OVERRIDE):
self.state = State.enabled
else:
self.current_alert_types.append(ET.OVERRIDE)
# DISABLED
elif self.state == State.disabled:
if self.events.any(ET.ENABLE):
if self.events.any(ET.NO_ENTRY):
self.current_alert_types.append(ET.NO_ENTRY)
else:
if self.events.any(ET.PRE_ENABLE):
self.state = State.preEnabled
elif self.events.any(ET.OVERRIDE):
self.state = State.overriding
else:
self.state = State.enabled
self.current_alert_types.append(ET.ENABLE)
if not self.CP.pcmCruise:
self.v_cruise_kph = initialize_v_cruise(CS.vEgo, CS.buttonEvents, self.v_cruise_kph_last)
# Check if openpilot is engaged and actuators are enabled
self.enabled = self.state in ENABLED_STATES
self.active = self.state in ACTIVE_STATES
if self.active:
self.current_alert_types.append(ET.WARNING)
def state_control(self, CS):
"""Given the state, this function returns a CarControl packet"""
# Update VehicleModel
params = self.sm['liveParameters']
x = max(params.stiffnessFactor, 0.1)
sr = max(params.steerRatio, 0.1)
self.VM.update_params(x, sr)
lat_plan = self.sm['lateralPlan']
long_plan = self.sm['longitudinalPlan']
CC = car.CarControl.new_message()
CC.enabled = self.enabled
# Check which actuators can be enabled
CC.latActive = self.active and not CS.steerFaultTemporary and not CS.steerFaultPermanent and \
CS.vEgo > self.CP.minSteerSpeed and not CS.standstill
CC.longActive = self.active and not self.events.any(ET.OVERRIDE) and self.CP.openpilotLongitudinalControl
actuators = CC.actuators
actuators.longControlState = self.LoC.long_control_state
if CS.leftBlinker or CS.rightBlinker:
self.last_blinker_frame = self.sm.frame
# State specific actions
if not CC.latActive:
self.LaC.reset()
if not CC.longActive:
self.LoC.reset(v_pid=CS.vEgo)
if not self.joystick_mode:
# accel PID loop
pid_accel_limits = self.CI.get_pid_accel_limits(self.CP, CS.vEgo, self.v_cruise_kph * CV.KPH_TO_MS)
t_since_plan = (self.sm.frame - self.sm.rcv_frame['longitudinalPlan']) * DT_CTRL
actuators.accel = self.LoC.update(CC.longActive, CS, long_plan, pid_accel_limits, t_since_plan)
# Steering PID loop and lateral MPC
self.desired_curvature, self.desired_curvature_rate = get_lag_adjusted_curvature(self.CP, CS.vEgo,
lat_plan.psis,
lat_plan.curvatures,
lat_plan.curvatureRates)
actuators.steer, actuators.steeringAngleDeg, lac_log = self.LaC.update(CC.latActive, CS, self.VM, params,
self.last_actuators, self.desired_curvature,
self.desired_curvature_rate, self.sm['liveLocationKalman'])
else:
lac_log = log.ControlsState.LateralDebugState.new_message()
if self.sm.rcv_frame['testJoystick'] > 0:
if CC.longActive:
actuators.accel = 4.0*clip(self.sm['testJoystick'].axes[0], -1, 1)
if CC.latActive:
steer = clip(self.sm['testJoystick'].axes[1], -1, 1)
# max angle is 45 for angle-based cars
actuators.steer, actuators.steeringAngleDeg = steer, steer * 45.
lac_log.active = self.active
lac_log.steeringAngleDeg = CS.steeringAngleDeg
lac_log.output = actuators.steer
lac_log.saturated = abs(actuators.steer) >= 0.9
# Send a "steering required alert" if saturation count has reached the limit
if lac_log.active and lac_log.saturated and not CS.steeringPressed:
dpath_points = lat_plan.dPathPoints
if len(dpath_points):
# Check if we deviated from the path
# TODO use desired vs actual curvature
left_deviation = actuators.steer > 0 and dpath_points[0] < -0.20
right_deviation = actuators.steer < 0 and dpath_points[0] > 0.20
if left_deviation or right_deviation:
self.events.add(EventName.steerSaturated)
# Ensure no NaNs/Infs
for p in ACTUATOR_FIELDS:
attr = getattr(actuators, p)
if not isinstance(attr, SupportsFloat):
continue
if not math.isfinite(attr):
cloudlog.error(f"actuators.{p} not finite {actuators.to_dict()}")
setattr(actuators, p, 0.0)
return CC, lac_log
def update_button_timers(self, buttonEvents):
# increment timer for buttons still pressed
for k in self.button_timers:
if self.button_timers[k] > 0:
self.button_timers[k] += 1
for b in buttonEvents:
if b.type.raw in self.button_timers:
self.button_timers[b.type.raw] = 1 if b.pressed else 0
def publish_logs(self, CS, start_time, CC, lac_log):
"""Send actuators and hud commands to the car, send controlsstate and MPC logging"""
# Orientation and angle rates can be useful for carcontroller
# Only calibrated (car) frame is relevant for the carcontroller
orientation_value = list(self.sm['liveLocationKalman'].calibratedOrientationNED.value)
if len(orientation_value) > 2:
CC.orientationNED = orientation_value
angular_rate_value = list(self.sm['liveLocationKalman'].angularVelocityCalibrated.value)
if len(angular_rate_value) > 2:
CC.angularVelocity = angular_rate_value
CC.cruiseControl.cancel = CS.cruiseState.enabled and (not self.enabled or not self.CP.pcmCruise)
if self.joystick_mode and self.sm.rcv_frame['testJoystick'] > 0 and self.sm['testJoystick'].buttons[0]:
CC.cruiseControl.cancel = True
hudControl = CC.hudControl
hudControl.setSpeed = float(self.v_cruise_kph * CV.KPH_TO_MS)
hudControl.speedVisible = self.enabled
hudControl.lanesVisible = self.enabled
hudControl.leadVisible = self.sm['longitudinalPlan'].hasLead
hudControl.rightLaneVisible = True
hudControl.leftLaneVisible = True
recent_blinker = (self.sm.frame - self.last_blinker_frame) * DT_CTRL < 5.0 # 5s blinker cooldown
ldw_allowed = self.is_ldw_enabled and CS.vEgo > LDW_MIN_SPEED and not recent_blinker \
and not CC.latActive and self.sm['liveCalibration'].calStatus == Calibration.CALIBRATED
model_v2 = self.sm['modelV2']
desire_prediction = model_v2.meta.desirePrediction
if len(desire_prediction) and ldw_allowed:
right_lane_visible = self.sm['lateralPlan'].rProb > 0.5
left_lane_visible = self.sm['lateralPlan'].lProb > 0.5
l_lane_change_prob = desire_prediction[Desire.laneChangeLeft - 1]
r_lane_change_prob = desire_prediction[Desire.laneChangeRight - 1]
lane_lines = model_v2.laneLines
l_lane_close = left_lane_visible and (lane_lines[1].y[0] > -(1.08 + CAMERA_OFFSET))
r_lane_close = right_lane_visible and (lane_lines[2].y[0] < (1.08 - CAMERA_OFFSET))
hudControl.leftLaneDepart = bool(l_lane_change_prob > LANE_DEPARTURE_THRESHOLD and l_lane_close)
hudControl.rightLaneDepart = bool(r_lane_change_prob > LANE_DEPARTURE_THRESHOLD and r_lane_close)
if hudControl.rightLaneDepart or hudControl.leftLaneDepart:
self.events.add(EventName.ldw)
clear_event_types = set()
if ET.WARNING not in self.current_alert_types:
clear_event_types.add(ET.WARNING)
if self.enabled:
clear_event_types.add(ET.NO_ENTRY)
alerts = self.events.create_alerts(self.current_alert_types, [self.CP, CS, self.sm, self.is_metric, self.soft_disable_timer])
self.AM.add_many(self.sm.frame, alerts)
current_alert = self.AM.process_alerts(self.sm.frame, clear_event_types)
if current_alert:
hudControl.visualAlert = current_alert.visual_alert
if not self.read_only and self.initialized:
# send car controls over can
self.last_actuators, can_sends = self.CI.apply(CC)
self.pm.send('sendcan', can_list_to_can_capnp(can_sends, msgtype='sendcan', valid=CS.canValid))
CC.actuatorsOutput = self.last_actuators
force_decel = (self.sm['driverMonitoringState'].awarenessStatus < 0.) or \
(self.state == State.softDisabling)
# Curvature & Steering angle
params = self.sm['liveParameters']
steer_angle_without_offset = math.radians(CS.steeringAngleDeg - params.angleOffsetDeg)
curvature = -self.VM.calc_curvature(steer_angle_without_offset, CS.vEgo, params.roll)
# controlsState
dat = messaging.new_message('controlsState')
dat.valid = CS.canValid
controlsState = dat.controlsState
if current_alert:
controlsState.alertText1 = current_alert.alert_text_1
controlsState.alertText2 = current_alert.alert_text_2
controlsState.alertSize = current_alert.alert_size
controlsState.alertStatus = current_alert.alert_status
controlsState.alertBlinkingRate = current_alert.alert_rate
controlsState.alertType = current_alert.alert_type
controlsState.alertSound = current_alert.audible_alert
controlsState.canMonoTimes = list(CS.canMonoTimes)
controlsState.longitudinalPlanMonoTime = self.sm.logMonoTime['longitudinalPlan']
controlsState.lateralPlanMonoTime = self.sm.logMonoTime['lateralPlan']
controlsState.enabled = self.enabled
controlsState.active = self.active
controlsState.curvature = curvature
controlsState.desiredCurvature = self.desired_curvature
controlsState.desiredCurvatureRate = self.desired_curvature_rate
controlsState.state = self.state
controlsState.engageable = not self.events.any(ET.NO_ENTRY)
controlsState.longControlState = self.LoC.long_control_state
controlsState.vPid = float(self.LoC.v_pid)
controlsState.vCruise = float(self.v_cruise_kph)
controlsState.upAccelCmd = float(self.LoC.pid.p)
controlsState.uiAccelCmd = float(self.LoC.pid.i)
controlsState.ufAccelCmd = float(self.LoC.pid.f)
controlsState.cumLagMs = -self.rk.remaining * 1000.
controlsState.startMonoTime = int(start_time * 1e9)
controlsState.forceDecel = bool(force_decel)
controlsState.canErrorCounter = self.can_rcv_error_counter
lat_tuning = self.CP.lateralTuning.which()
if self.joystick_mode:
controlsState.lateralControlState.debugState = lac_log
elif self.CP.steerControlType == car.CarParams.SteerControlType.angle:
controlsState.lateralControlState.angleState = lac_log
elif lat_tuning == 'pid':
controlsState.lateralControlState.pidState = lac_log
elif lat_tuning == 'torque':
controlsState.lateralControlState.torqueState = lac_log
elif lat_tuning == 'indi':
controlsState.lateralControlState.indiState = lac_log
self.pm.send('controlsState', dat)
# carState
car_events = self.events.to_msg()
cs_send = messaging.new_message('carState')
cs_send.valid = CS.canValid
cs_send.carState = CS
cs_send.carState.events = car_events
self.pm.send('carState', cs_send)
# carEvents - logged every second or on change
if (self.sm.frame % int(1. / DT_CTRL) == 0) or (self.events.names != self.events_prev):
ce_send = messaging.new_message('carEvents', len(self.events))
ce_send.carEvents = car_events
self.pm.send('carEvents', ce_send)
self.events_prev = self.events.names.copy()
# carParams - logged every 50 seconds (> 1 per segment)
if (self.sm.frame % int(50. / DT_CTRL) == 0):
cp_send = messaging.new_message('carParams')
cp_send.carParams = self.CP
self.pm.send('carParams', cp_send)
# carControl
cc_send = messaging.new_message('carControl')
cc_send.valid = CS.canValid
cc_send.carControl = CC
self.pm.send('carControl', cc_send)
# copy CarControl to pass to CarInterface on the next iteration
self.CC = CC
def step(self):
start_time = sec_since_boot()
self.prof.checkpoint("Ratekeeper", ignore=True)
# Sample data from sockets and get a carState
CS = self.data_sample()
cloudlog.timestamp("Data sampled")
self.prof.checkpoint("Sample")
self.update_events(CS)
cloudlog.timestamp("Events updated")
if not self.read_only and self.initialized:
# Update control state
self.state_transition(CS)
self.prof.checkpoint("State transition")
# Compute actuators (runs PID loops and lateral MPC)
CC, lac_log = self.state_control(CS)
self.prof.checkpoint("State Control")
# Publish data
self.publish_logs(CS, start_time, CC, lac_log)
self.prof.checkpoint("Sent")
self.update_button_timers(CS.buttonEvents)
self.CS_prev = CS
def controlsd_thread(self):
while True:
self.step()
self.rk.monitor_time()
self.prof.display()
class Controls:
def __init__(self, sm=None, pm=None, can_sock=None):
config_realtime_process(3, Priority.CTRL_HIGH)
self.op_params = opParams()
# Setup sockets
self.pm = pm
if self.pm is None:
self.pm = messaging.PubMaster([
'sendcan', 'controlsState', 'carState', 'carControl',
'carEvents', 'carParams'
])
self.sm = sm
if self.sm is None:
ignore = ['driverCameraState', 'managerState'
] if SIMULATION else None
self.sm = messaging.SubMaster([
'deviceState', 'pandaState', 'modelV2', 'liveCalibration',
'driverMonitoringState', 'longitudinalPlan', 'lateralPlan',
'liveLocationKalman', 'roadCameraState', 'driverCameraState',
'managerState', 'liveParameters', 'radarState'
],
ignore_alive=ignore)
self.sm_smiskol = messaging.SubMaster([
'radarState', 'dynamicFollowData', 'liveTracks',
'dynamicFollowButton', 'laneSpeed', 'dynamicCameraOffset',
'modelLongButton'
])
self.op_params = opParams()
self.df_manager = dfManager()
self.support_white_panda = self.op_params.get('support_white_panda')
self.last_model_long = False
self.can_sock = can_sock
if can_sock is None:
can_timeout = None if os.environ.get('NO_CAN_TIMEOUT',
False) else 100
self.can_sock = messaging.sub_sock('can', timeout=can_timeout)
# wait for one pandaState and one CAN packet
panda_type = messaging.recv_one(
self.sm.sock['pandaState']).pandaState.pandaType
has_relay = panda_type in [
PandaType.blackPanda, PandaType.uno, PandaType.dos
]
print("Waiting for CAN messages...")
get_one_can(self.can_sock)
self.CI, self.CP, candidate = get_car(self.can_sock,
self.pm.sock['sendcan'],
has_relay)
threading.Thread(target=log_fingerprint, args=[candidate]).start()
# read params
params = Params()
self.is_metric = params.get("IsMetric", encoding='utf8') == "1"
self.is_ldw_enabled = params.get("IsLdwEnabled",
encoding='utf8') == "1"
community_feature_toggle = params.get("CommunityFeaturesToggle",
encoding='utf8') == "1"
openpilot_enabled_toggle = params.get("OpenpilotEnabledToggle",
encoding='utf8') == "1"
passive = params.get(
"Passive", encoding='utf8') == "1" or not openpilot_enabled_toggle
# detect sound card presence and ensure successful init
sounds_available = HARDWARE.get_sound_card_online()
car_recognized = self.CP.carName != 'mock'
# If stock camera is disconnected, we loaded car controls and it's not dashcam mode
controller_available = self.CP.enableCamera and self.CI.CC is not None and not passive and not self.CP.dashcamOnly
community_feature_disallowed = self.CP.communityFeature and not community_feature_toggle
self.read_only = not car_recognized or not controller_available or \
self.CP.dashcamOnly or community_feature_disallowed
if self.read_only:
self.CP.safetyModel = car.CarParams.SafetyModel.noOutput
# Write CarParams for radard and boardd safety mode
cp_bytes = self.CP.to_bytes()
params.put("CarParams", cp_bytes)
put_nonblocking("CarParamsCache", cp_bytes)
self.CC = car.CarControl.new_message()
self.AM = AlertManager()
self.events = Events()
self.LoC = LongControl(self.CP, self.CI.compute_gb, candidate)
self.VM = VehicleModel(self.CP)
if self.CP.lateralTuning.which() == 'pid':
self.LaC = LatControlPID(self.CP)
elif self.CP.lateralTuning.which() == 'indi':
self.LaC = LatControlINDI(self.CP)
elif self.CP.lateralTuning.which() == 'lqr':
self.LaC = LatControlLQR(self.CP)
self.state = State.disabled
self.enabled = False
self.active = False
self.can_rcv_error = False
self.soft_disable_timer = 0
self.v_cruise_kph = 255
self.v_cruise_kph_last = 0
self.mismatch_counter = 0
self.can_error_counter = 0
self.last_blinker_frame = 0
self.saturated_count = 0
self.distance_traveled = 0
self.last_functional_fan_frame = 0
self.events_prev = []
self.current_alert_types = [ET.PERMANENT]
self.logged_comm_issue = False
self.sm['liveCalibration'].calStatus = Calibration.CALIBRATED
self.sm['deviceState'].freeSpacePercent = 100
self.sm['driverMonitoringState'].events = []
self.sm['driverMonitoringState'].awarenessStatus = 1.
self.sm['driverMonitoringState'].faceDetected = False
self.startup_event = get_startup_event(car_recognized,
controller_available)
if not sounds_available:
self.events.add(EventName.soundsUnavailable, static=True)
if community_feature_disallowed:
self.events.add(EventName.communityFeatureDisallowed, static=True)
if not car_recognized:
self.events.add(EventName.carUnrecognized, static=True)
# controlsd is driven by can recv, expected at 100Hz
self.rk = Ratekeeper(100, print_delay_threshold=None)
self.prof = Profiler(False) # off by default
self.lead_rel_speed = 255
self.lead_long_dist = 255
def update_events(self, CS):
"""Compute carEvents from carState"""
self.events.clear()
self.events.add_from_msg(CS.events)
self.events.add_from_msg(self.sm['driverMonitoringState'].events)
# Handle startup event
if self.startup_event is not None:
self.events.add(self.startup_event)
self.startup_event = None
# Create events for battery, temperature, disk space, and memory
if self.sm['deviceState'].batteryPercent < 1 and self.sm[
'deviceState'].chargingError:
# at zero percent battery, while discharging, OP should not allowed
self.events.add(EventName.lowBattery)
if self.sm['deviceState'].thermalStatus >= ThermalStatus.red:
self.events.add(EventName.overheat)
if self.sm['deviceState'].freeSpacePercent < 7:
# under 7% of space free no enable allowed
self.events.add(EventName.outOfSpace)
if self.sm['deviceState'].memoryUsagePercent > 90:
self.events.add(EventName.lowMemory)
# Alert if fan isn't spinning for 5 seconds
if self.sm['pandaState'].pandaType in [PandaType.uno, PandaType.dos]:
if self.sm['pandaState'].fanSpeedRpm == 0 and self.sm[
'deviceState'].fanSpeedPercentDesired > 50:
if (self.sm.frame -
self.last_functional_fan_frame) * DT_CTRL > 5.0:
self.events.add(EventName.fanMalfunction)
else:
self.last_functional_fan_frame = self.sm.frame
# Handle calibration status
cal_status = self.sm['liveCalibration'].calStatus
if cal_status != Calibration.CALIBRATED:
if cal_status == Calibration.UNCALIBRATED:
self.events.add(EventName.calibrationIncomplete)
else:
self.events.add(EventName.calibrationInvalid)
# Handle lane change
if self.sm[
'lateralPlan'].laneChangeState == LaneChangeState.preLaneChange:
direction = self.sm['lateralPlan'].laneChangeDirection
if (CS.leftBlindspot and direction == LaneChangeDirection.left) or \
(CS.rightBlindspot and direction == LaneChangeDirection.right):
self.events.add(EventName.laneChangeBlocked)
else:
if direction == LaneChangeDirection.left:
self.events.add(EventName.preLaneChangeLeft)
else:
self.events.add(EventName.preLaneChangeRight)
elif self.sm['lateralPlan'].laneChangeState in [
LaneChangeState.laneChangeStarting,
LaneChangeState.laneChangeFinishing
]:
self.events.add(EventName.laneChange)
if self.can_rcv_error or (not CS.canValid
and self.sm.frame > 5 / DT_CTRL):
self.events.add(EventName.canError)
if (self.sm['pandaState'].safetyModel != self.CP.safetyModel and self.sm.frame > 2 / DT_CTRL) or \
self.mismatch_counter >= 200:
self.events.add(EventName.controlsMismatch)
if len(self.sm['radarState'].radarErrors):
self.events.add(EventName.radarFault)
elif not self.sm.valid['liveParameters']:
self.events.add(EventName.vehicleModelInvalid)
elif not self.sm.all_alive_and_valid():
self.events.add(EventName.commIssue)
if not self.logged_comm_issue:
cloudlog.error(
f"commIssue - valid: {self.sm.valid} - alive: {self.sm.alive}"
)
self.logged_comm_issue = True
else:
self.logged_comm_issue = False
if not self.sm['lateralPlan'].mpcSolutionValid:
self.events.add(EventName.plannerError)
if not self.sm['liveLocationKalman'].sensorsOK and not NOSENSOR:
if self.sm.frame > 5 / DT_CTRL: # Give locationd some time to receive all the inputs
self.events.add(EventName.sensorDataInvalid)
if not self.sm['liveLocationKalman'].posenetOK:
self.events.add(EventName.posenetInvalid)
if not self.sm['liveLocationKalman'].deviceStable:
self.events.add(EventName.deviceFalling)
if log.PandaState.FaultType.relayMalfunction in self.sm[
'pandaState'].faults:
self.events.add(EventName.relayMalfunction)
if self.sm['longitudinalPlan'].fcw:
self.events.add(EventName.fcw)
# TODO: fix simulator
# if not SIMULATION:
# if not NOSENSOR and not self.support_white_panda:
# if not self.sm['liveLocationKalman'].gpsOK and (self.distance_traveled > 1000) and not TICI:
# # Not show in first 1 km to allow for driving out of garage. This event shows after 5 minutes
# self.events.add(EventName.noGps)
if not self.sm.all_alive(['roadCameraState', 'driverCameraState'
]) and (self.sm.frame > 5 / DT_CTRL):
self.events.add(EventName.cameraMalfunction)
if self.sm['modelV2'].frameDropPerc > 20:
self.events.add(EventName.modeldLagging)
# Check if all manager processes are running
not_running = set(p.name for p in self.sm['managerState'].processes
if not p.running)
if self.sm.rcv_frame['managerState'] and (not_running -
IGNORE_PROCESSES):
self.events.add(EventName.processNotRunning)
# Only allow engagement with brake pressed when stopped behind another stopped car
if CS.brakePressed and self.sm['longitudinalPlan'].vTargetFuture >= STARTING_TARGET_SPEED \
and self.CP.openpilotLongitudinalControl and CS.vEgo < 0.3 and not self.last_model_long:
self.events.add(EventName.noTarget)
self.add_stock_additions_alerts(CS)
# vision-only fcw, can be disabled if radar is present
if self.sm.updated['radarState']:
self.lead_rel_speed = self.sm['radarState'].leadOne.vRel
self.lead_long_dist = self.sm['radarState'].leadOne.dRel
#if CS.cruiseState.enabled and self.lead_long_dist > 5 and self.lead_long_dist < 100 and self.lead_rel_speed <= -0.5 and CS.vEgo >= 5 and \
# ((self.lead_long_dist/abs(self.lead_rel_speed) < 2.) or (self.lead_long_dist/abs(self.lead_rel_speed) < 4. and self.lead_rel_speed < -10) or \
# (self.lead_long_dist/abs(self.lead_rel_speed) < 5. and self.lead_long_dist/CS.vEgo < 1.5)):
# self.events.add(EventName.fcw)
def add_stock_additions_alerts(self, CS):
self.AM.SA_set_frame(self.sm.frame)
self.AM.SA_set_enabled(self.enabled)
# alert priority is defined by code location, keeping is highest, then lane speed alert, then auto-df alert
if self.sm_smiskol['modelLongButton'].enabled != self.last_model_long:
extra_text_1 = 'disabled!' if self.last_model_long else 'enabled!'
extra_text_2 = '' if self.last_model_long else ', model may behave unexpectedly'
self.AM.SA_add('modelLongAlert',
extra_text_1=extra_text_1,
extra_text_2=extra_text_2)
return
if self.sm_smiskol['dynamicCameraOffset'].keepingLeft:
self.AM.SA_add('laneSpeedKeeping',
extra_text_1='LEFT',
extra_text_2='Oncoming traffic in right lane')
return
elif self.sm_smiskol['dynamicCameraOffset'].keepingRight:
self.AM.SA_add('laneSpeedKeeping',
extra_text_1='RIGHT',
extra_text_2='Oncoming traffic in left lane')
return
ls_state = self.sm_smiskol['laneSpeed'].state
if ls_state != '':
self.AM.SA_add('lsButtonAlert', extra_text_1=ls_state)
return
faster_lane = self.sm_smiskol['laneSpeed'].fastestLane
if faster_lane in ['left', 'right']:
ls_alert = 'laneSpeedAlert'
if not self.sm_smiskol['laneSpeed'].new:
ls_alert += 'Silent'
self.AM.SA_add(
ls_alert,
extra_text_1='{} lane faster'.format(faster_lane).upper(),
extra_text_2='Change lanes to faster {} lane'.format(
faster_lane))
return
df_out = self.df_manager.update()
if df_out.changed:
df_alert = 'dfButtonAlert'
if df_out.is_auto and df_out.last_is_auto:
# only show auto alert if engaged, not hiding auto, and time since lane speed alert not showing
if CS.cruiseState.enabled and not self.op_params.get(
'hide_auto_df_alerts'):
df_alert += 'Silent'
self.AM.SA_add(df_alert,
extra_text_1=df_out.model_profile_text +
' (auto)')
return
else:
self.AM.SA_add(
df_alert,
extra_text_1=df_out.user_profile_text,
extra_text_2='Dynamic follow: {} profile active'.format(
df_out.user_profile_text))
return
def data_sample(self):
"""Receive data from sockets and update carState"""
# Update carState from CAN
can_strs = messaging.drain_sock_raw(self.can_sock, wait_for_one=True)
CS = self.CI.update(self.CC, can_strs)
self.sm.update(0)
self.sm_smiskol.update(0)
# Check for CAN timeout
if not can_strs:
self.can_error_counter += 1
self.can_rcv_error = True
else:
self.can_rcv_error = False
# When the panda and controlsd do not agree on controls_allowed
# we want to disengage openpilot. However the status from the panda goes through
# another socket other than the CAN messages and one can arrive earlier than the other.
# Therefore we allow a mismatch for two samples, then we trigger the disengagement.
if not self.enabled:
self.mismatch_counter = 0
if not self.sm['pandaState'].controlsAllowed and self.enabled:
self.mismatch_counter += 1
self.distance_traveled += CS.vEgo * DT_CTRL
return CS
def state_transition(self, CS):
"""Compute conditional state transitions and execute actions on state transitions"""
self.v_cruise_kph_last = self.v_cruise_kph
# if stock cruise is completely disabled, then we can use our own set speed logic
if not self.CP.enableCruise:
self.v_cruise_kph = update_v_cruise(self.v_cruise_kph,
CS.buttonEvents, self.enabled)
elif self.CP.enableCruise and CS.cruiseState.enabled:
self.v_cruise_kph = CS.cruiseState.speed * CV.MS_TO_KPH
# decrease the soft disable timer at every step, as it's reset on
# entrance in SOFT_DISABLING state
self.soft_disable_timer = max(0, self.soft_disable_timer - 1)
self.current_alert_types = [ET.PERMANENT]
# ENABLED, PRE ENABLING, SOFT DISABLING
if self.state != State.disabled:
# user and immediate disable always have priority in a non-disabled state
if self.events.any(ET.USER_DISABLE):
self.state = State.disabled
self.current_alert_types.append(ET.USER_DISABLE)
elif self.events.any(ET.IMMEDIATE_DISABLE):
self.state = State.disabled
self.current_alert_types.append(ET.IMMEDIATE_DISABLE)
else:
# ENABLED
if self.state == State.enabled:
if self.events.any(ET.SOFT_DISABLE):
self.state = State.softDisabling
self.soft_disable_timer = 300 # 3s
self.current_alert_types.append(ET.SOFT_DISABLE)
# SOFT DISABLING
elif self.state == State.softDisabling:
if not self.events.any(ET.SOFT_DISABLE):
# no more soft disabling condition, so go back to ENABLED
self.state = State.enabled
elif self.events.any(
ET.SOFT_DISABLE) and self.soft_disable_timer > 0:
self.current_alert_types.append(ET.SOFT_DISABLE)
elif self.soft_disable_timer <= 0:
self.state = State.disabled
# PRE ENABLING
elif self.state == State.preEnabled:
if not self.events.any(ET.PRE_ENABLE):
self.state = State.enabled
else:
self.current_alert_types.append(ET.PRE_ENABLE)
# DISABLED
elif self.state == State.disabled:
if self.events.any(ET.ENABLE):
if self.events.any(ET.NO_ENTRY):
self.current_alert_types.append(ET.NO_ENTRY)
else:
if self.events.any(ET.PRE_ENABLE):
self.state = State.preEnabled
else:
self.state = State.enabled
self.current_alert_types.append(ET.ENABLE)
self.v_cruise_kph = initialize_v_cruise(
CS.vEgo, CS.buttonEvents, self.v_cruise_kph_last)
# Check if actuators are enabled
self.active = self.state == State.enabled or self.state == State.softDisabling
if self.active:
self.current_alert_types.append(ET.WARNING)
# Check if openpilot is engaged
self.enabled = self.active or self.state == State.preEnabled
def state_control(self, CS):
"""Given the state, this function returns an actuators packet"""
lat_plan = self.sm['lateralPlan']
long_plan = self.sm['longitudinalPlan']
actuators = car.CarControl.Actuators.new_message()
if CS.leftBlinker or CS.rightBlinker:
self.last_blinker_frame = self.sm.frame
# State specific actions
if not self.active:
self.LaC.reset()
self.LoC.reset(v_pid=CS.vEgo)
long_plan_age = DT_CTRL * (self.sm.frame -
self.sm.rcv_frame['longitudinalPlan'])
# no greater than dt mpc + dt, to prevent too high extraps
dt = min(long_plan_age, LON_MPC_STEP + DT_CTRL) + DT_CTRL
a_acc_sol = long_plan.aStart + (dt / LON_MPC_STEP) * (
long_plan.aTarget - long_plan.aStart)
v_acc_sol = long_plan.vStart + dt * (a_acc_sol +
long_plan.aStart) / 2.0
extras_loc = {
'lead_one': self.sm_smiskol['radarState'].leadOne,
'mpc_TR': self.sm_smiskol['dynamicFollowData'].mpcTR,
'live_tracks': self.sm_smiskol['liveTracks'],
'has_lead': long_plan.hasLead
}
# Gas/Brake PID loop
actuators.gas, actuators.brake = self.LoC.update(
self.active, CS, v_acc_sol, long_plan.vTargetFuture, a_acc_sol,
self.CP, extras_loc)
# Steering PID loop and lateral MPC
actuators.steer, actuators.steeringAngleDeg, lac_log = self.LaC.update(
self.active, CS, self.CP, lat_plan)
# Check for difference between desired angle and angle for angle based control
angle_control_saturated = self.CP.steerControlType == car.CarParams.SteerControlType.angle and \
abs(actuators.steeringAngleDeg - CS.steeringAngleDeg) > STEER_ANGLE_SATURATION_THRESHOLD
if angle_control_saturated and not CS.steeringPressed and self.active:
self.saturated_count += 1
else:
self.saturated_count = 0
# Send a "steering required alert" if saturation count has reached the limit
if (lac_log.saturated and not CS.steeringPressed) or \
(self.saturated_count > STEER_ANGLE_SATURATION_TIMEOUT):
# Check if we deviated from the path
left_deviation = actuators.steer > 0 and lat_plan.dPathPoints[
0] < -0.1
right_deviation = actuators.steer < 0 and lat_plan.dPathPoints[
0] > 0.1
if left_deviation or right_deviation:
self.events.add(EventName.steerSaturated)
return actuators, v_acc_sol, a_acc_sol, lac_log
def publish_logs(self, CS, start_time, actuators, v_acc, a_acc, lac_log):
"""Send actuators and hud commands to the car, send controlsstate and MPC logging"""
CC = car.CarControl.new_message()
CC.enabled = self.enabled
CC.actuators = actuators
CC.cruiseControl.override = True
CC.cruiseControl.cancel = not self.CP.enableCruise or (
not self.enabled and CS.cruiseState.enabled)
# Some override values for Honda
# brake discount removes a sharp nonlinearity
brake_discount = (1.0 - clip(actuators.brake * 3., 0.0, 1.0))
speed_override = max(0.0,
(self.LoC.v_pid + CS.cruiseState.speedOffset) *
brake_discount)
CC.cruiseControl.speedOverride = float(
speed_override if self.CP.enableCruise else 0.0)
CC.cruiseControl.accelOverride = self.CI.calc_accel_override(
CS.aEgo, self.sm['longitudinalPlan'].aTarget, CS.vEgo,
self.sm['longitudinalPlan'].vTarget)
CC.hudControl.setSpeed = float(self.v_cruise_kph * CV.KPH_TO_MS)
CC.hudControl.speedVisible = self.enabled
CC.hudControl.lanesVisible = self.enabled
CC.hudControl.leadVisible = self.sm['longitudinalPlan'].hasLead
right_lane_visible = self.sm['lateralPlan'].rProb > 0.5
left_lane_visible = self.sm['lateralPlan'].lProb > 0.5
CC.hudControl.rightLaneVisible = bool(right_lane_visible)
CC.hudControl.leftLaneVisible = bool(left_lane_visible)
recent_blinker = (self.sm.frame - self.last_blinker_frame
) * DT_CTRL < 5.0 # 5s blinker cooldown
ldw_allowed = self.is_ldw_enabled and CS.vEgo > LDW_MIN_SPEED and not recent_blinker \
and (not self.active or CS.epsDisabled == True) and self.sm['liveCalibration'].calStatus == Calibration.CALIBRATED
meta = self.sm['modelV2'].meta
if len(meta.desirePrediction) and ldw_allowed:
l_lane_change_prob = meta.desirePrediction[Desire.laneChangeLeft -
1]
r_lane_change_prob = meta.desirePrediction[Desire.laneChangeRight -
1]
CAMERA_OFFSET = self.sm['lateralPlan'].cameraOffset
ldw_average_car_width = 1.750483672001016 # from sedans, suvs, and minivans (todo: find from all openpilot Toyotas instead)
ldw_m_from_wheel = 0.15
ldw_threshold = ldw_average_car_width / 2 + ldw_m_from_wheel
l_lane_close = left_lane_visible and (
self.sm['modelV2'].laneLines[1].y[0] >
-(ldw_threshold + CAMERA_OFFSET))
r_lane_close = right_lane_visible and (
self.sm['modelV2'].laneLines[2].y[0] <
(ldw_threshold - CAMERA_OFFSET))
CC.hudControl.leftLaneDepart = bool(
l_lane_change_prob > LANE_DEPARTURE_THRESHOLD and l_lane_close)
CC.hudControl.rightLaneDepart = bool(
r_lane_change_prob > LANE_DEPARTURE_THRESHOLD and r_lane_close)
if CC.hudControl.rightLaneDepart or CC.hudControl.leftLaneDepart:
self.events.add(EventName.ldw)
clear_event = ET.WARNING if ET.WARNING not in self.current_alert_types else None
alerts = self.events.create_alerts(self.current_alert_types,
[self.CP, self.sm, self.is_metric])
self.AM.add_many(self.sm.frame, alerts, self.enabled)
self.last_model_long = self.sm_smiskol['modelLongButton'].enabled
self.AM.process_alerts(self.sm.frame, clear_event)
CC.hudControl.visualAlert = self.AM.visual_alert
if not self.read_only:
# send car controls over can
can_sends = self.CI.apply(CC)
self.pm.send(
'sendcan',
can_list_to_can_capnp(can_sends,
msgtype='sendcan',
valid=CS.canValid))
force_decel = (self.sm['driverMonitoringState'].awarenessStatus < 0.) or \
(self.state == State.softDisabling)
steer_angle_rad = (
CS.steeringAngleDeg -
self.sm['lateralPlan'].angleOffsetDeg) * CV.DEG_TO_RAD
# controlsState
dat = messaging.new_message('controlsState')
dat.valid = CS.canValid
controlsState = dat.controlsState
controlsState.alertText1 = self.AM.alert_text_1
controlsState.alertText2 = self.AM.alert_text_2
controlsState.alertSize = self.AM.alert_size
controlsState.alertStatus = self.AM.alert_status
controlsState.alertBlinkingRate = self.AM.alert_rate
controlsState.alertType = self.AM.alert_type
controlsState.alertSound = self.AM.audible_alert
controlsState.canMonoTimes = list(CS.canMonoTimes)
controlsState.longitudinalPlanMonoTime = self.sm.logMonoTime[
'longitudinalPlan']
controlsState.lateralPlanMonoTime = self.sm.logMonoTime['lateralPlan']
controlsState.enabled = self.enabled
controlsState.active = self.active
controlsState.curvature = self.VM.calc_curvature(
steer_angle_rad, CS.vEgo)
controlsState.state = self.state
controlsState.engageable = not self.events.any(ET.NO_ENTRY)
controlsState.longControlState = self.LoC.long_control_state
controlsState.vPid = float(self.LoC.v_pid)
controlsState.vCruise = float(self.v_cruise_kph)
controlsState.upAccelCmd = float(self.LoC.pid.p)
controlsState.uiAccelCmd = float(self.LoC.pid.id)
controlsState.ufAccelCmd = float(self.LoC.pid.f)
controlsState.steeringAngleDesiredDeg = float(
self.LaC.angle_steers_des)
controlsState.vTargetLead = float(v_acc)
controlsState.aTarget = float(a_acc)
controlsState.cumLagMs = -self.rk.remaining * 1000.
controlsState.startMonoTime = int(start_time * 1e9)
controlsState.forceDecel = bool(force_decel)
controlsState.canErrorCounter = self.can_error_counter
if self.CP.lateralTuning.which() == 'pid':
controlsState.lateralControlState.pidState = lac_log
elif self.CP.lateralTuning.which() == 'lqr':
controlsState.lateralControlState.lqrState = lac_log
elif self.CP.lateralTuning.which() == 'indi':
controlsState.lateralControlState.indiState = lac_log
self.pm.send('controlsState', dat)
# carState
car_events = self.events.to_msg()
cs_send = messaging.new_message('carState')
cs_send.valid = CS.canValid
cs_send.carState = CS
cs_send.carState.events = car_events
self.pm.send('carState', cs_send)
# carEvents - logged every second or on change
if (self.sm.frame % int(1. / DT_CTRL)
== 0) or (self.events.names != self.events_prev):
ce_send = messaging.new_message('carEvents', len(self.events))
ce_send.carEvents = car_events
self.pm.send('carEvents', ce_send)
self.events_prev = self.events.names.copy()
# carParams - logged every 50 seconds (> 1 per segment)
if (self.sm.frame % int(50. / DT_CTRL) == 0):
cp_send = messaging.new_message('carParams')
cp_send.carParams = self.CP
self.pm.send('carParams', cp_send)
# carControl
cc_send = messaging.new_message('carControl')
cc_send.valid = CS.canValid
cc_send.carControl = CC
self.pm.send('carControl', cc_send)
# copy CarControl to pass to CarInterface on the next iteration
self.CC = CC
def step(self):
start_time = sec_since_boot()
self.prof.checkpoint("Ratekeeper", ignore=True)
# Sample data from sockets and get a carState
CS = self.data_sample()
self.prof.checkpoint("Sample")
self.update_events(CS)
if not self.read_only:
# Update control state
self.state_transition(CS)
self.prof.checkpoint("State transition")
# Compute actuators (runs PID loops and lateral MPC)
actuators, v_acc, a_acc, lac_log = self.state_control(CS)
self.prof.checkpoint("State Control")
# Publish data
self.publish_logs(CS, start_time, actuators, v_acc, a_acc, lac_log)
self.prof.checkpoint("Sent")
def controlsd_thread(self):
while True:
self.step()
self.rk.monitor_time()
self.prof.display()
def radard_thread(gctx=None):
set_realtime_priority(2)
# wait for stats about the car to come in from controls
cloudlog.info("radard is waiting for CarParams")
CP = car.CarParams.from_bytes(Params().get("CarParams", block=True))
mocked= CP.radarName == "mock"
VM = VehicleModel(CP)
cloudlog.info("radard got CarParams")
# import the radar from the fingerprint
cloudlog.info("radard is importing %s", CP.radarName)
exec('from selfdrive.radar.'+CP.radarName+'.interface import RadarInterface')
context = zmq.Context()
# *** subscribe to features and model from visiond
poller = zmq.Poller()
model = messaging.sub_sock(context, service_list['model'].port, conflate=True, poller=poller)
live100 = messaging.sub_sock(context, service_list['live100'].port, conflate=True, poller=poller)
PP = PathPlanner()
RI = RadarInterface()
last_md_ts = 0
last_l100_ts = 0
# *** publish live20 and liveTracks
live20 = messaging.pub_sock(context, service_list['live20'].port)
liveTracks = messaging.pub_sock(context, service_list['liveTracks'].port)
path_x = np.arange(0.0, 140.0, 0.1) # 140 meters is max
# Time-alignment
rate = 20. # model and radar are both at 20Hz
tsv = 1./rate
v_len = 20 # how many speed data points to remember for t alignment with rdr data
active = 0
steer_angle = 0.
steer_override = False
tracks = defaultdict(dict)
# Kalman filter stuff:
ekfv = EKFV1D()
speedSensorV = SimpleSensor(XV, 1, 2)
# v_ego
v_ego = None
v_ego_array = np.zeros([2, v_len])
v_ego_t_aligned = 0.
rk = Ratekeeper(rate, print_delay_threshold=np.inf)
while 1:
rr = RI.update()
ar_pts = {}
for pt in rr.points:
ar_pts[pt.trackId] = [pt.dRel + RDR_TO_LDR, pt.yRel, pt.vRel, pt.measured]
# receive the live100s
l100 = None
md = None
for socket, event in poller.poll(0):
if socket is live100:
l100 = messaging.recv_one(socket)
elif socket is model:
md = messaging.recv_one(socket)
if l100 is not None:
active = l100.live100.active
v_ego = l100.live100.vEgo
steer_angle = l100.live100.angleSteers
steer_override = l100.live100.steerOverride
v_ego_array = np.append(v_ego_array, [[v_ego], [float(rk.frame)/rate]], 1)
v_ego_array = v_ego_array[:, 1:]
last_l100_ts = l100.logMonoTime
if v_ego is None:
continue
if md is not None:
last_md_ts = md.logMonoTime
# *** get path prediction from the model ***
PP.update(v_ego, md)
# run kalman filter only if prob is high enough
if PP.lead_prob > 0.7:
ekfv.update(speedSensorV.read(PP.lead_dist, covar=PP.lead_var))
ekfv.predict(tsv)
ar_pts[VISION_POINT] = (float(ekfv.state[XV]), np.polyval(PP.d_poly, float(ekfv.state[XV])),
float(ekfv.state[SPEEDV]), False)
else:
ekfv.state[XV] = PP.lead_dist
ekfv.covar = (np.diag([PP.lead_var, ekfv.var_init]))
ekfv.state[SPEEDV] = 0.
if VISION_POINT in ar_pts:
del ar_pts[VISION_POINT]
# *** compute the likely path_y ***
if (active and not steer_override) or mocked:
# use path from model (always when mocking as steering is too noisy)
path_y = np.polyval(PP.d_poly, path_x)
else:
# use path from steer, set angle_offset to 0 it does not only report the physical offset
path_y = calc_lookahead_offset(v_ego, steer_angle, path_x, VM, angle_offset=0)[0]
# *** remove missing points from meta data ***
for ids in tracks.keys():
if ids not in ar_pts:
tracks.pop(ids, None)
# *** compute the tracks ***
for ids in ar_pts:
# ignore standalone vision point, unless we are mocking the radar
if ids == VISION_POINT and not mocked:
continue
rpt = ar_pts[ids]
# align v_ego by a fixed time to align it with the radar measurement
cur_time = float(rk.frame)/rate
v_ego_t_aligned = np.interp(cur_time - RI.delay, v_ego_array[1], v_ego_array[0])
d_path = np.sqrt(np.amin((path_x - rpt[0]) ** 2 + (path_y - rpt[1]) ** 2))
# add sign
d_path *= np.sign(rpt[1] - np.interp(rpt[0], path_x, path_y))
# create the track if it doesn't exist or it's a new track
if ids not in tracks:
tracks[ids] = Track()
tracks[ids].update(rpt[0], rpt[1], rpt[2], d_path, v_ego_t_aligned, rpt[3], steer_override)
# allow the vision model to remove the stationary flag if distance and rel speed roughly match
if VISION_POINT in ar_pts:
fused_id = None
best_score = NO_FUSION_SCORE
for ids in tracks:
dist_to_vision = np.sqrt((0.5*(ar_pts[VISION_POINT][0] - tracks[ids].dRel)) ** 2 + (2*(ar_pts[VISION_POINT][1] - tracks[ids].yRel)) ** 2)
rel_speed_diff = abs(ar_pts[VISION_POINT][2] - tracks[ids].vRel)
tracks[ids].update_vision_score(dist_to_vision, rel_speed_diff)
if best_score > tracks[ids].vision_score:
fused_id = ids
best_score = tracks[ids].vision_score
if fused_id is not None:
tracks[fused_id].vision_cnt += 1
tracks[fused_id].update_vision_fusion()
if DEBUG:
print "NEW CYCLE"
if VISION_POINT in ar_pts:
print "vision", ar_pts[VISION_POINT]
idens = tracks.keys()
track_pts = np.array([tracks[iden].get_key_for_cluster() for iden in idens])
# If we have multiple points, cluster them
if len(track_pts) > 1:
link = linkage_vector(track_pts, method='centroid')
cluster_idxs = fcluster(link, 2.5, criterion='distance')
clusters = [None]*max(cluster_idxs)
for idx in xrange(len(track_pts)):
cluster_i = cluster_idxs[idx]-1
if clusters[cluster_i] == None:
clusters[cluster_i] = Cluster()
clusters[cluster_i].add(tracks[idens[idx]])
elif len(track_pts) == 1:
# TODO: why do we need this?
clusters = [Cluster()]
clusters[0].add(tracks[idens[0]])
else:
clusters = []
if DEBUG:
for i in clusters:
print i
# *** extract the lead car ***
lead_clusters = [c for c in clusters
if c.is_potential_lead(v_ego)]
lead_clusters.sort(key=lambda x: x.dRel)
lead_len = len(lead_clusters)
# *** extract the second lead from the whole set of leads ***
lead2_clusters = [c for c in lead_clusters
if c.is_potential_lead2(lead_clusters)]
lead2_clusters.sort(key=lambda x: x.dRel)
lead2_len = len(lead2_clusters)
# *** publish live20 ***
dat = messaging.new_message()
dat.init('live20')
dat.live20.mdMonoTime = last_md_ts
dat.live20.canMonoTimes = list(rr.canMonoTimes)
dat.live20.radarErrors = list(rr.errors)
dat.live20.l100MonoTime = last_l100_ts
if lead_len > 0:
lead_clusters[0].toLive20(dat.live20.leadOne)
if lead2_len > 0:
lead2_clusters[0].toLive20(dat.live20.leadTwo)
else:
dat.live20.leadTwo.status = False
else:
dat.live20.leadOne.status = False
dat.live20.cumLagMs = -rk.remaining*1000.
live20.send(dat.to_bytes())
# *** publish tracks for UI debugging (keep last) ***
dat = messaging.new_message()
dat.init('liveTracks', len(tracks))
for cnt, ids in enumerate(tracks.keys()):
if DEBUG:
print "id: %4.0f x: %4.1f y: %4.1f vr: %4.1f d: %4.1f va: %4.1f vl: %4.1f vlk: %4.1f alk: %4.1f s: %1.0f" % \
(ids, tracks[ids].dRel, tracks[ids].yRel, tracks[ids].vRel,
tracks[ids].dPath, tracks[ids].vLat,
tracks[ids].vLead, tracks[ids].vLeadK,
tracks[ids].aLeadK,
tracks[ids].stationary)
dat.liveTracks[cnt].trackId = ids
dat.liveTracks[cnt].dRel = float(tracks[ids].dRel)
dat.liveTracks[cnt].yRel = float(tracks[ids].yRel)
dat.liveTracks[cnt].vRel = float(tracks[ids].vRel)
dat.liveTracks[cnt].aRel = float(tracks[ids].aRel)
dat.liveTracks[cnt].stationary = tracks[ids].stationary
dat.liveTracks[cnt].oncoming = tracks[ids].oncoming
liveTracks.send(dat.to_bytes())
rk.monitor_time()
class Plant():
messaging_initialized = False
def __init__(self,
lead_relevancy=False,
speed=0.0,
distance_lead=2.0,
only_lead2=False,
only_radar=False):
self.rate = 1. / DT_MDL
if not Plant.messaging_initialized:
Plant.radar = messaging.pub_sock('radarState')
Plant.controls_state = messaging.pub_sock('controlsState')
Plant.car_state = messaging.pub_sock('carState')
Plant.plan = messaging.sub_sock('longitudinalPlan')
Plant.messaging_initialized = True
self.v_lead_prev = 0.0
self.distance = 0.
self.speed = speed
self.acceleration = 0.0
# lead car
self.distance_lead = distance_lead
self.lead_relevancy = lead_relevancy
self.only_lead2 = only_lead2
self.only_radar = only_radar
self.rk = Ratekeeper(self.rate, print_delay_threshold=100.0)
self.ts = 1. / self.rate
time.sleep(1)
self.sm = messaging.SubMaster(['longitudinalPlan'])
from selfdrive.car.hyundai.values import CAR
from selfdrive.car.hyundai.interface import CarInterface
self.planner = Planner(CarInterface.get_params(CAR.GRANDEUR_IG),
init_v=self.speed)
def current_time(self):
return float(self.rk.frame) / self.rate
def step(self, v_lead=0.0, prob=1.0, v_cruise=50.):
# ******** publish a fake model going straight and fake calibration ********
# note that this is worst case for MPC, since model will delay long mpc by one time step
radar = messaging.new_message('radarState')
control = messaging.new_message('controlsState')
car_state = messaging.new_message('carState')
a_lead = (v_lead - self.v_lead_prev) / self.ts
self.v_lead_prev = v_lead
if self.lead_relevancy:
d_rel = np.maximum(0., self.distance_lead - self.distance)
v_rel = v_lead - self.speed
if self.only_radar:
status = True
elif prob > .5:
status = True
else:
status = False
else:
d_rel = 200.
v_rel = 0.
prob = 0.0
status = False
lead = log.RadarState.LeadData.new_message()
lead.dRel = float(d_rel)
lead.yRel = float(0.0)
lead.vRel = float(v_rel)
lead.aRel = float(a_lead - self.acceleration)
lead.vLead = float(v_lead)
lead.vLeadK = float(v_lead)
lead.aLeadK = float(a_lead)
lead.aLeadTau = float(1.5)
lead.status = status
lead.modelProb = float(prob)
lead.radar = True
if not self.only_lead2:
radar.radarState.leadOne = lead
radar.radarState.leadTwo = lead
control.controlsState.longControlState = LongCtrlState.pid
control.controlsState.vCruise = float(v_cruise * 3.6)
car_state.carState.vEgo = float(self.speed)
# ******** get controlsState messages for plotting ***
sm = {
'radarState': radar.radarState,
'carState': car_state.carState,
'controlsState': control.controlsState
}
self.planner.update(sm)
self.speed = self.planner.v_desired_filter.x
self.acceleration = self.planner.a_desired
fcw = self.planner.fcw
self.distance_lead = self.distance_lead + v_lead * self.ts
# ******** run the car ********
#print(self.distance, speed)
if self.speed <= 0:
self.speed = 0
self.acceleration = 0
self.distance = self.distance + self.speed * self.ts
# *** radar model ***
if self.lead_relevancy:
d_rel = np.maximum(0., self.distance_lead - self.distance)
v_rel = v_lead - self.speed
else:
d_rel = 200.
v_rel = 0.
# print at 5hz
if (self.rk.frame % (self.rate // 5)) == 0:
print(
"%2.2f sec %6.2f m %6.2f m/s %6.2f m/s2 lead_rel: %6.2f m %6.2f m/s"
% (self.current_time(), self.distance, self.speed,
self.acceleration, d_rel, v_rel))
# ******** update prevs ********
self.rk.monitor_time()
return {
"distance": self.distance,
"speed": self.speed,
"acceleration": self.acceleration,
"distance_lead": self.distance_lead,
"fcw": fcw,
}
def radard_thread(gctx=None):
#print "===>>> File: controls/radard.py; FUnction: radard_thread"
set_realtime_priority(1)
# wait for stats about the car to come in from controls
cloudlog.info("radard is waiting for CarParams")
CP = car.CarParams.from_bytes(Params().get("CarParams", block=True))
cloudlog.info("radard got CarParams")
# import the radar from the fingerprint
cloudlog.info("radard is importing %s", CP.radarName)
exec('from selfdrive.radar.'+CP.radarName+'.interface import RadarInterface')
context = zmq.Context()
# *** subscribe to features and model from visiond
model = messaging.sub_sock(context, service_list['model'].port)
live100 = messaging.sub_sock(context, service_list['live100'].port)
PP = PathPlanner()
RI = RadarInterface()
last_md_ts = 0
last_l100_ts = 0
# *** publish live20 and liveTracks
live20 = messaging.pub_sock(context, service_list['live20'].port)
liveTracks = messaging.pub_sock(context, service_list['liveTracks'].port)
path_x = np.arange(0.0, 140.0, 0.1) # 140 meters is max
# Time-alignment
rate = 20. # model and radar are both at 20Hz
tsv = 1./rate
rdr_delay = 0.10 # radar data delay in s
v_len = 20 # how many speed data points to remember for t alignment with rdr data
enabled = 0
steer_angle = 0.
tracks = defaultdict(dict)
# Kalman filter stuff:
ekfv = EKFV1D()
speedSensorV = SimpleSensor(XV, 1, 2)
# v_ego
v_ego = None
v_ego_array = np.zeros([2, v_len])
v_ego_t_aligned = 0.
rk = Ratekeeper(rate, print_delay_threshold=np.inf)
while 1:
rr = RI.update()
ar_pts = {}
for pt in rr.points:
ar_pts[pt.trackId] = [pt.dRel + RDR_TO_LDR, pt.yRel, pt.vRel, pt.aRel, None, False, None]
# receive the live100s
l100 = messaging.recv_sock(live100)
if l100 is not None:
enabled = l100.live100.enabled
v_ego = l100.live100.vEgo
steer_angle = l100.live100.angleSteers
v_ego_array = np.append(v_ego_array, [[v_ego], [float(rk.frame)/rate]], 1)
v_ego_array = v_ego_array[:, 1:]
last_l100_ts = l100.logMonoTime
if v_ego is None:
continue
md = messaging.recv_sock(model)
#print "============ RADAR Thread"
#print md
if md is not None:
last_md_ts = md.logMonoTime
# *** get path prediction from the model ***
PP.update(sec_since_boot(), v_ego, md)
# run kalman filter only if prob is high enough
if PP.lead_prob > 0.7:
ekfv.update(speedSensorV.read(PP.lead_dist, covar=PP.lead_var))
ekfv.predict(tsv)
ar_pts[VISION_POINT] = (float(ekfv.state[XV]), np.polyval(PP.d_poly, float(ekfv.state[XV])),
float(ekfv.state[SPEEDV]), np.nan, last_md_ts, np.nan, sec_since_boot())
else:
ekfv.state[XV] = PP.lead_dist
ekfv.covar = (np.diag([PP.lead_var, ekfv.var_init]))
ekfv.state[SPEEDV] = 0.
if VISION_POINT in ar_pts:
del ar_pts[VISION_POINT]
# *** compute the likely path_y ***
if enabled: # use path from model path_poly
path_y = np.polyval(PP.d_poly, path_x)
else: # use path from steer, set angle_offset to 0 since calibration does not exactly report the physical offset
path_y = calc_lookahead_offset(v_ego, steer_angle, path_x, CP, angle_offset=0)[0]
# *** remove missing points from meta data ***
for ids in tracks.keys():
if ids not in ar_pts:
tracks.pop(ids, None)
# *** compute the tracks ***
for ids in ar_pts:
# ignore the vision point for now
if ids == VISION_POINT and not VISION_ONLY:
continue
elif ids != VISION_POINT and VISION_ONLY:
continue
rpt = ar_pts[ids]
# align v_ego by a fixed time to align it with the radar measurement
cur_time = float(rk.frame)/rate
v_ego_t_aligned = np.interp(cur_time - rdr_delay, v_ego_array[1], v_ego_array[0])
d_path = np.sqrt(np.amin((path_x - rpt[0]) ** 2 + (path_y - rpt[1]) ** 2))
# create the track if it doesn't exist or it's a new track
if ids not in tracks or rpt[5] == 1:
tracks[ids] = Track()
tracks[ids].update(rpt[0], rpt[1], rpt[2], d_path, v_ego_t_aligned)
# allow the vision model to remove the stationary flag if distance and rel speed roughly match
if VISION_POINT in ar_pts:
dist_to_vision = np.sqrt((0.5*(ar_pts[VISION_POINT][0] - rpt[0])) ** 2 + (2*(ar_pts[VISION_POINT][1] - rpt[1])) ** 2)
rel_speed_diff = abs(ar_pts[VISION_POINT][2] - rpt[2])
tracks[ids].mix_vision(dist_to_vision, rel_speed_diff)
# publish tracks (debugging)
dat = messaging.new_message()
dat.init('liveTracks', len(tracks))
for cnt, ids in enumerate(tracks.keys()):
dat.liveTracks[cnt].trackId = ids
dat.liveTracks[cnt].dRel = float(tracks[ids].dRel)
dat.liveTracks[cnt].yRel = float(tracks[ids].yRel)
dat.liveTracks[cnt].vRel = float(tracks[ids].vRel)
dat.liveTracks[cnt].aRel = float(tracks[ids].aRel)
dat.liveTracks[cnt].stationary = tracks[ids].stationary
dat.liveTracks[cnt].oncoming = tracks[ids].oncoming
liveTracks.send(dat.to_bytes())
idens = tracks.keys()
track_pts = np.array([tracks[iden].get_key_for_cluster() for iden in idens])
# If we have multiple points, cluster them
if len(track_pts) > 1:
link = linkage_vector(track_pts, method='centroid')
cluster_idxs = fcluster(link, 2.5, criterion='distance')
clusters = [None]*max(cluster_idxs)
for idx in xrange(len(track_pts)):
cluster_i = cluster_idxs[idx]-1
if clusters[cluster_i] == None:
clusters[cluster_i] = Cluster()
clusters[cluster_i].add(tracks[idens[idx]])
elif len(track_pts) == 1:
# TODO: why do we need this?
clusters = [Cluster()]
clusters[0].add(tracks[idens[0]])
else:
clusters = []
# *** extract the lead car ***
lead_clusters = [c for c in clusters
if c.is_potential_lead(v_ego)]
lead_clusters.sort(key=lambda x: x.dRel)
lead_len = len(lead_clusters)
# *** extract the second lead from the whole set of leads ***
lead2_clusters = [c for c in lead_clusters
if c.is_potential_lead2(lead_clusters)]
lead2_clusters.sort(key=lambda x: x.dRel)
lead2_len = len(lead2_clusters)
# *** publish live20 ***
dat = messaging.new_message()
dat.init('live20')
dat.live20.mdMonoTime = last_md_ts
dat.live20.canMonoTimes = list(rr.canMonoTimes)
dat.live20.l100MonoTime = last_l100_ts
if lead_len > 0:
lead_clusters[0].toLive20(dat.live20.leadOne)
if lead2_len > 0:
lead2_clusters[0].toLive20(dat.live20.leadTwo)
else:
dat.live20.leadTwo.status = False
else:
dat.live20.leadOne.status = False
dat.live20.cumLagMs = -rk.remaining*1000.
live20.send(dat.to_bytes())
rk.monitor_time()
def radard_thread(sm=None, pm=None, can_sock=None):
set_realtime_priority(Priority.CTRL_LOW)
# wait for stats about the car to come in from controls
cloudlog.info("radard is waiting for CarParams")
CP = car.CarParams.from_bytes(Params().get("CarParams", block=True))
cloudlog.info("radard got CarParams")
# import the radar from the fingerprint
cloudlog.info("radard is importing %s", CP.carName)
RadarInterface = importlib.import_module(
'selfdrive.car.%s.radar_interface' % CP.carName).RadarInterface
if can_sock is None:
can_sock = messaging.sub_sock('can')
if sm is None:
sm = messaging.SubMaster(['model', 'controlsState', 'liveParameters'])
# *** publish radarState and liveTracks
if pm is None:
pm = messaging.PubMaster(['radarState', 'liveTracks'])
RI = RadarInterface(CP)
rk = Ratekeeper(1.0 / CP.radarTimeStep, print_delay_threshold=None)
RD = RadarD(CP.radarTimeStep, RI.delay)
# TODO: always log leads once we can hide them conditionally
enable_lead = CP.openpilotLongitudinalControl or not CP.radarOffCan
while 1:
can_strings = messaging.drain_sock_raw(can_sock, wait_for_one=True)
# This looks like a useless tesla hack. See if it can be removed?
if CP.carName == "tesla":
rr, rrext, ahbCarDetected = RI.update(can_strings, v_ego=0)
else:
rr = RI.update(can_strings)
if rr is None:
continue
sm.update(0)
dat = RD.update(rk.frame, sm, rr, enable_lead)
dat.radarState.cumLagMs = -rk.remaining * 1000.
pm.send('radarState', dat)
# *** publish tracks for UI debugging (keep last) ***
tracks = RD.tracks
dat = messaging.new_message('liveTracks', len(tracks))
for cnt, ids in enumerate(sorted(tracks.keys())):
dat.liveTracks[cnt] = {
"trackId": ids,
"dRel": float(tracks[ids].dRel),
"yRel": float(tracks[ids].yRel),
"vRel": float(tracks[ids].vRel),
}
pm.send('liveTracks', dat)
rk.monitor_time()
def radard_thread(gctx=None):
set_realtime_priority(1)
context = zmq.Context()
# *** subscribe to features and model from visiond
model = messaging.sub_sock(context, service_list['model'].port)
logcan = messaging.sub_sock(context, service_list['can'].port)
live100 = messaging.sub_sock(context, service_list['live100'].port)
PP = PathPlanner(model)
# *** publish live20 and liveTracks
live20 = messaging.pub_sock(context, service_list['live20'].port)
liveTracks = messaging.pub_sock(context, service_list['liveTracks'].port)
# subscribe to stats about the car
# TODO: move this to new style packet
VP = VehicleParams(False) # same for ILX and civic
ar_pts = {}
path_x = np.arange(0.0, 140.0, 0.1) # 140 meters is max
# Time-alignment
rate = 20. # model and radar are both at 20Hz
tsv = 1. / rate
rdr_delay = 0.10 # radar data delay in s
v_len = 20 # how many speed data points to remember for t alignment with rdr data
enabled = 0
steer_angle = 0.
tracks = defaultdict(dict)
# Nidec
cp = _create_radard_can_parser()
# Kalman filter stuff:
ekfv = EKFV1D()
speedSensorV = SimpleSensor(XV, 1, 2)
# v_ego
v_ego = None
v_ego_array = np.zeros([2, v_len])
v_ego_t_aligned = 0.
rk = Ratekeeper(rate, print_delay_threshold=np.inf)
while 1:
canMonoTimes = []
can_pub_radar = []
for a in messaging.drain_sock(logcan, wait_for_one=True):
canMonoTimes.append(a.logMonoTime)
can_pub_radar.extend(can_capnp_to_can_list_old(a, [1, 3]))
# only run on the 0x445 packets, used for timing
if not any(x[0] == 0x445 for x in can_pub_radar):
continue
cp.update_can(can_pub_radar)
if not cp.can_valid:
# TODO: handle this
pass
ar_pts = nidec_decode(cp, ar_pts)
# receive the live100s
l100 = messaging.recv_sock(live100)
if l100 is not None:
enabled = l100.live100.enabled
v_ego = l100.live100.vEgo
steer_angle = l100.live100.angleSteers
v_ego_array = np.append(v_ego_array,
[[v_ego], [float(rk.frame) / rate]], 1)
v_ego_array = v_ego_array[:, 1:]
if v_ego is None:
continue
# *** get path prediction from the model ***
PP.update(sec_since_boot(), v_ego)
# run kalman filter only if prob is high enough
if PP.lead_prob > 0.7:
ekfv.update(speedSensorV.read(PP.lead_dist, covar=PP.lead_var))
ekfv.predict(tsv)
ar_pts[VISION_POINT] = (float(ekfv.state[XV]),
np.polyval(PP.d_poly,
float(ekfv.state[XV])),
float(ekfv.state[SPEEDV]), np.nan,
PP.logMonoTime, np.nan, sec_since_boot())
else:
ekfv.state[XV] = PP.lead_dist
ekfv.covar = (np.diag([PP.lead_var, ekfv.var_init]))
ekfv.state[SPEEDV] = 0.
if VISION_POINT in ar_pts:
del ar_pts[VISION_POINT]
# *** compute the likely path_y ***
if enabled: # use path from model path_poly
path_y = np.polyval(PP.d_poly, path_x)
else: # use path from steer, set angle_offset to 0 since calibration does not exactly report the physical offset
path_y = calc_lookahead_offset(v_ego,
steer_angle,
path_x,
VP,
angle_offset=0)[0]
# *** remove missing points from meta data ***
for ids in tracks.keys():
if ids not in ar_pts:
tracks.pop(ids, None)
# *** compute the tracks ***
for ids in ar_pts:
# ignore the vision point for now
if ids == VISION_POINT:
continue
rpt = ar_pts[ids]
# align v_ego by a fixed time to align it with the radar measurement
cur_time = float(rk.frame) / rate
v_ego_t_aligned = np.interp(cur_time - rdr_delay, v_ego_array[1],
v_ego_array[0])
d_path = np.sqrt(
np.amin((path_x - rpt[0])**2 + (path_y - rpt[1])**2))
# create the track
if ids not in tracks or rpt[5] == 1:
tracks[ids] = Track()
tracks[ids].update(rpt[0], rpt[1], rpt[2], d_path, v_ego_t_aligned)
# allow the vision model to remove the stationary flag if distance and rel speed roughly match
if VISION_POINT in ar_pts:
dist_to_vision = np.sqrt(
(0.5 * (ar_pts[VISION_POINT][0] - rpt[0]))**2 +
(2 * (ar_pts[VISION_POINT][1] - rpt[1]))**2)
rel_speed_diff = abs(ar_pts[VISION_POINT][2] - rpt[2])
tracks[ids].mix_vision(dist_to_vision, rel_speed_diff)
# publish tracks (debugging)
dat = messaging.new_message()
dat.init('liveTracks', len(tracks))
for cnt, ids in enumerate(tracks.keys()):
dat.liveTracks[cnt].trackId = ids
dat.liveTracks[cnt].dRel = float(tracks[ids].dRel)
dat.liveTracks[cnt].yRel = float(tracks[ids].yRel)
dat.liveTracks[cnt].vRel = float(tracks[ids].vRel)
dat.liveTracks[cnt].aRel = float(tracks[ids].aRel)
dat.liveTracks[cnt].stationary = tracks[ids].stationary
dat.liveTracks[cnt].oncoming = tracks[ids].oncoming
liveTracks.send(dat.to_bytes())
idens = tracks.keys()
track_pts = np.array(
[tracks[iden].get_key_for_cluster() for iden in idens])
# If we have multiple points, cluster them
if len(track_pts) > 1:
link = linkage_vector(track_pts, method='centroid')
cluster_idxs = fcluster(link, 2.5, criterion='distance')
clusters = [None] * max(cluster_idxs)
for idx in xrange(len(track_pts)):
cluster_i = cluster_idxs[idx] - 1
if clusters[cluster_i] == None:
clusters[cluster_i] = Cluster()
clusters[cluster_i].add(tracks[idens[idx]])
elif len(track_pts) == 1:
# TODO: why do we need this?
clusters = [Cluster()]
clusters[0].add(tracks[idens[0]])
else:
clusters = []
# *** extract the lead car ***
lead_clusters = [
c for c in clusters if c.is_potential_lead(v_ego, enabled)
]
lead_clusters.sort(key=lambda x: x.dRel)
lead_len = len(lead_clusters)
# *** extract the second lead from the whole set of leads ***
lead2_clusters = [
c for c in lead_clusters if c.is_potential_lead2(lead_clusters)
]
lead2_clusters.sort(key=lambda x: x.dRel)
lead2_len = len(lead2_clusters)
# *** publish live20 ***
dat = messaging.new_message()
dat.init('live20')
dat.live20.mdMonoTime = PP.logMonoTime
dat.live20.canMonoTimes = canMonoTimes
if lead_len > 0:
lead_clusters[0].toLive20(dat.live20.leadOne)
if lead2_len > 0:
lead2_clusters[0].toLive20(dat.live20.leadTwo)
else:
dat.live20.leadTwo.status = False
else:
dat.live20.leadOne.status = False
dat.live20.cumLagMs = -rk.remaining * 1000.
live20.send(dat.to_bytes())
rk.monitor_time()
def radard_thread(gctx=None):
set_realtime_priority(2)
# wait for stats about the car to come in from controls
cloudlog.info("radard is waiting for CarParams")
CP = car.CarParams.from_bytes(Params().get("CarParams", block=True))
mocked = CP.carName == "mock"
VM = VehicleModel(CP)
cloudlog.info("radard got CarParams")
# import the radar from the fingerprint
cloudlog.info("radard is importing %s", CP.carName)
RadarInterface = importlib.import_module(
'selfdrive.car.%s.radar_interface' % CP.carName).RadarInterface
can_sock = messaging.sub_sock(service_list['can'].port)
sm = messaging.SubMaster(['model', 'controlsState', 'liveParameters'])
RI = RadarInterface(CP)
# *** publish radarState and liveTracks
radarState = messaging.pub_sock(service_list['radarState'].port)
liveTracks = messaging.pub_sock(service_list['liveTracks'].port)
rk = Ratekeeper(rate, print_delay_threshold=None)
RD = RadarD(VM, mocked)
while 1:
can_strings = messaging.drain_sock_raw(can_sock, wait_for_one=True)
rr = RI.update(can_strings)
if rr is None:
continue
sm.update(0)
dat = RD.update(rk.frame, RI.delay, sm, rr)
dat.radarState.cumLagMs = -rk.remaining * 1000.
radarState.send(dat.to_bytes())
# *** publish tracks for UI debugging (keep last) ***
tracks = RD.tracks
dat = messaging.new_message()
dat.init('liveTracks', len(tracks))
for cnt, ids in enumerate(tracks.keys()):
if DEBUG:
print("id: %4.0f x: %4.1f y: %4.1f vr: %4.1f d: %4.1f va: %4.1f vl: %4.1f vlk: %4.1f alk: %4.1f s: %1.0f v: %1.0f" % \
(ids, tracks[ids].dRel, tracks[ids].yRel, tracks[ids].vRel,
tracks[ids].dPath, tracks[ids].vLat,
tracks[ids].vLead, tracks[ids].vLeadK,
tracks[ids].aLeadK,
tracks[ids].stationary,
tracks[ids].measured))
dat.liveTracks[cnt] = {
"trackId": ids,
"dRel": float(tracks[ids].dRel),
"yRel": float(tracks[ids].yRel),
"vRel": float(tracks[ids].vRel),
"aRel": float(tracks[ids].aRel),
"stationary": bool(tracks[ids].stationary),
"oncoming": bool(tracks[ids].oncoming),
}
liveTracks.send(dat.to_bytes())
rk.monitor_time()
class Plant():
messaging_initialized = False
def __init__(self, lead_relevancy=False, speed=0.0, distance_lead=2.0):
self.rate = 1. / DT_MDL
if not Plant.messaging_initialized:
Plant.radar = messaging.pub_sock('radarState')
Plant.controls_state = messaging.pub_sock('controlsState')
Plant.car_state = messaging.pub_sock('carState')
Plant.plan = messaging.sub_sock('longitudinalPlan')
Plant.messaging_initialized = True
self.v_lead_prev = 0.0
self.distance = 0.
self.speed = speed
self.acceleration = 0.0
# lead car
self.distance_lead = distance_lead
self.lead_relevancy = lead_relevancy
self.rk = Ratekeeper(self.rate, print_delay_threshold=100.0)
self.ts = 1. / self.rate
time.sleep(1)
self.sm = messaging.SubMaster(['longitudinalPlan'])
def current_time(self):
return float(self.rk.frame) / self.rate
def step(self, v_lead=0.0):
# ******** publish a fake model going straight and fake calibration ********
# note that this is worst case for MPC, since model will delay long mpc by one time step
radar = messaging.new_message('radarState')
control = messaging.new_message('controlsState')
car_state = messaging.new_message('carState')
a_lead = (v_lead - self.v_lead_prev) / self.ts
self.v_lead_prev = v_lead
if self.lead_relevancy:
d_rel = np.maximum(0., self.distance_lead - self.distance)
v_rel = v_lead - self.speed
prob = 1.0
else:
d_rel = 200.
v_rel = 0.
prob = 0.0
lead = log.RadarState.LeadData.new_message()
lead.dRel = float(d_rel)
lead.yRel = float(0.0)
lead.vRel = float(v_rel)
lead.aRel = float(a_lead - self.acceleration)
lead.vLead = float(v_lead)
lead.vLeadK = float(v_lead)
lead.aLeadK = float(a_lead)
lead.aLeadTau = float(1.5)
lead.status = True
lead.modelProb = prob
radar.radarState.leadOne = lead
radar.radarState.leadTwo = lead
control.controlsState.longControlState = LongCtrlState.pid
control.controlsState.vCruise = 130
car_state.carState.vEgo = self.speed
Plant.radar.send(radar.to_bytes())
Plant.controls_state.send(control.to_bytes())
Plant.car_state.send(car_state.to_bytes())
# ******** get controlsState messages for plotting ***
self.sm.update()
while True:
time.sleep(0.01)
if self.sm.updated['longitudinalPlan']:
plan = self.sm['longitudinalPlan']
self.acceleration = plan.aTarget
fcw = plan.fcw
break
self.speed += self.ts * self.acceleration
self.distance_lead = self.distance_lead + v_lead * self.ts
# ******** run the car ********
#print(self.distance, speed)
if self.speed <= 0:
self.speed = 0
self.acceleration = 0
self.distance = self.distance + self.speed * self.ts
# *** radar model ***
if self.lead_relevancy:
d_rel = np.maximum(0., self.distance_lead - self.distance)
v_rel = v_lead - self.speed
else:
d_rel = 200.
v_rel = 0.
# print at 5hz
if (self.rk.frame % (self.rate // 5)) == 0:
print(
"%2.2f sec %6.2f m %6.2f m/s %6.2f m/s2 lead_rel: %6.2f m %6.2f m/s"
% (self.current_time(), self.distance, self.speed,
self.acceleration, d_rel, v_rel))
# ******** update prevs ********
self.rk.monitor_time()
return {
"distance": self.distance,
"speed": self.speed,
"acceleration": self.acceleration,
"distance_lead": self.distance_lead,
"fcw": fcw,
}
def controlsd_thread(gctx=None):
gc.disable()
# start the loop
set_realtime_priority(3)
context = zmq.Context()
params = Params()
# Pub Sockets
controlsstate = messaging.pub_sock(context,
service_list['controlsState'].port)
carstate = messaging.pub_sock(context, service_list['carState'].port)
carcontrol = messaging.pub_sock(context, service_list['carControl'].port)
is_metric = params.get("IsMetric") == "1"
passive = params.get("Passive") != "0"
sendcan = messaging.pub_sock(context, service_list['sendcan'].port)
# Sub sockets
poller = zmq.Poller()
thermal = messaging.sub_sock(context,
service_list['thermal'].port,
conflate=True,
poller=poller)
health = messaging.sub_sock(context,
service_list['health'].port,
conflate=True,
poller=poller)
cal = messaging.sub_sock(context,
service_list['liveCalibration'].port,
conflate=True,
poller=poller)
driver_monitor = messaging.sub_sock(context,
service_list['driverMonitoring'].port,
conflate=True,
poller=poller)
plan_sock = messaging.sub_sock(context,
service_list['plan'].port,
conflate=True,
poller=poller)
path_plan_sock = messaging.sub_sock(context,
service_list['pathPlan'].port,
conflate=True,
poller=poller)
logcan = messaging.sub_sock(context, service_list['can'].port)
CC = car.CarControl.new_message()
CI, CP = get_car(logcan, sendcan)
AM = AlertManager()
car_recognized = CP.carName != 'mock'
# If stock camera is disconnected, we loaded car controls and it's not chffrplus
controller_available = CP.enableCamera and CI.CC is not None and not passive
read_only = not car_recognized or not controller_available
if read_only:
CP.safetyModel = car.CarParams.SafetyModels.elm327 # diagnostic only
startup_alert = get_startup_alert(car_recognized, controller_available)
AM.add(startup_alert, False)
LoC = LongControl(CP, CI.compute_gb)
VM = VehicleModel(CP)
if CP.lateralTuning.which() == 'pid':
LaC = LatControlPID(CP)
else:
LaC = LatControlINDI(CP)
driver_status = DriverStatus()
# Write CarParams for radard and boardd safety mode
params.put("CarParams", CP.to_bytes())
params.put("LongitudinalControl",
"1" if CP.openpilotLongitudinalControl else "0")
state = State.disabled
soft_disable_timer = 0
v_cruise_kph = 255
v_cruise_kph_last = 0
overtemp = False
free_space = False
cal_status = Calibration.INVALID
cal_perc = 0
mismatch_counter = 0
low_battery = False
rcv_times = defaultdict(int)
plan = messaging.new_message()
plan.init('plan')
path_plan = messaging.new_message()
path_plan.init('pathPlan')
path_plan.pathPlan.sensorValid = True
# controlsd is driven by can recv, expected at 100Hz
rk = Ratekeeper(100, print_delay_threshold=None)
controls_params = params.get("ControlsParams")
# Read angle offset from previous drive
angle_model_bias = 0.
if controls_params is not None:
try:
controls_params = json.loads(controls_params)
angle_model_bias = controls_params['angle_model_bias']
except (ValueError, KeyError):
pass
prof = Profiler(False) # off by default
while True:
start_time = sec_since_boot()
prof.checkpoint("Ratekeeper", ignore=True)
# Sample data and compute car events
CS, events, cal_status, cal_perc, overtemp, free_space, low_battery, mismatch_counter, plan, path_plan =\
data_sample(rcv_times, CI, CC, plan_sock, path_plan_sock, thermal, cal, health, driver_monitor,
poller, cal_status, cal_perc, overtemp, free_space, low_battery, driver_status,
state, mismatch_counter, params, plan, path_plan)
prof.checkpoint("Sample")
# Create alerts
path_plan_age = start_time - rcv_times['pathPlan']
plan_age = start_time - rcv_times['plan']
if not path_plan.pathPlan.valid or plan_age > 0.5 or path_plan_age > 0.5:
events.append(
create_event('plannerError', [ET.NO_ENTRY, ET.SOFT_DISABLE]))
if not path_plan.pathPlan.sensorValid:
events.append(
create_event('sensorDataInvalid', [ET.NO_ENTRY, ET.PERMANENT]))
if not path_plan.pathPlan.paramsValid:
events.append(create_event('vehicleModelInvalid', [ET.WARNING]))
if not path_plan.pathPlan.modelValid:
events.append(
create_event('modelCommIssue', [ET.NO_ENTRY, ET.SOFT_DISABLE]))
if not plan.plan.radarValid:
events.append(
create_event('radarFault', [ET.NO_ENTRY, ET.SOFT_DISABLE]))
if plan.plan.radarCommIssue:
events.append(
create_event('radarCommIssue', [ET.NO_ENTRY, ET.SOFT_DISABLE]))
# Only allow engagement with brake pressed when stopped behind another stopped car
if CS.brakePressed and plan.plan.vTargetFuture >= STARTING_TARGET_SPEED and not CP.radarOffCan and CS.vEgo < 0.3:
events.append(
create_event('noTarget', [ET.NO_ENTRY, ET.IMMEDIATE_DISABLE]))
if not read_only:
# update control state
state, soft_disable_timer, v_cruise_kph, v_cruise_kph_last = \
state_transition(CS, CP, state, events, soft_disable_timer, v_cruise_kph, AM)
prof.checkpoint("State transition")
# Compute actuators (runs PID loops and lateral MPC)
actuators, v_cruise_kph, driver_status, angle_model_bias, v_acc, a_acc, lac_log = \
state_control(rcv_times, plan.plan, path_plan.pathPlan, CS, CP, state, events, v_cruise_kph,
v_cruise_kph_last, AM, rk, driver_status,
LaC, LoC, VM, angle_model_bias, read_only, is_metric, cal_perc)
prof.checkpoint("State Control")
# Publish data
CC = data_send(plan, path_plan, CS, CI, CP, VM, state, events,
actuators, v_cruise_kph, rk, carstate, carcontrol,
controlsstate, sendcan, AM, driver_status, LaC, LoC,
angle_model_bias, read_only, start_time, v_acc, a_acc,
lac_log)
prof.checkpoint("Sent")
rk.monitor_time()
prof.display()
def controlsd_thread(sm=None, pm=None, can_sock=None):
gc.disable()
# start the loop
set_realtime_priority(3)
params = Params()
is_metric = params.get("IsMetric") == "1"
passive = params.get("Passive") != "0"
# Pub/Sub Sockets
if pm is None:
pm = messaging.PubMaster([
'sendcan', 'controlsState', 'carState', 'carControl', 'carEvents',
'carParams'
])
if sm is None:
sm = messaging.SubMaster(['thermal', 'health', 'liveCalibration', 'driverMonitoring', 'plan', 'pathPlan', \
'gpsLocation'], ignore_alive=['gpsLocation'])
if can_sock is None:
can_timeout = None if os.environ.get('NO_CAN_TIMEOUT', False) else 100
can_sock = messaging.sub_sock(service_list['can'].port,
timeout=can_timeout)
# wait for health and CAN packets
hw_type = messaging.recv_one(sm.sock['health']).health.hwType
is_panda_black = hw_type == log.HealthData.HwType.blackPanda
print("Waiting for CAN messages...")
get_one_can(can_sock)
CI, CP = get_car(can_sock, pm.sock['sendcan'], is_panda_black)
car_recognized = CP.carName != 'mock'
# If stock camera is disconnected, we loaded car controls and it's not chffrplus
controller_available = CP.enableCamera and CI.CC is not None and not passive
read_only = not car_recognized or not controller_available or CP.dashcamOnly
if read_only:
CP.safetyModel = CP.safetyModelPassive
# Write CarParams for radard and boardd safety mode
params.put("CarParams", CP.to_bytes())
params.put("LongitudinalControl",
"1" if CP.openpilotLongitudinalControl else "0")
CC = car.CarControl.new_message()
AM = AlertManager()
startup_alert = get_startup_alert(car_recognized, controller_available)
AM.add(sm.frame, startup_alert, False)
LoC = LongControl(CP, CI.compute_gb)
VM = VehicleModel(CP)
if CP.lateralTuning.which() == 'pid':
LaC = LatControlPID(CP)
elif CP.lateralTuning.which() == 'indi':
LaC = LatControlINDI(CP)
elif CP.lateralTuning.which() == 'lqr':
LaC = LatControlLQR(CP)
driver_status = DriverStatus()
is_rhd = params.get("IsRHD")
if is_rhd is not None:
driver_status.is_rhd = bool(int(is_rhd))
state = State.disabled
soft_disable_timer = 0
v_cruise_kph = 255
v_cruise_kph_last = 0
overtemp = False
free_space = False
cal_status = Calibration.INVALID
cal_perc = 0
mismatch_counter = 0
low_battery = False
events_prev = []
sm['pathPlan'].sensorValid = True
sm['pathPlan'].posenetValid = True
# detect sound card presence
sounds_available = not os.path.isfile('/EON') or (
os.path.isdir('/proc/asound/card0')
and open('/proc/asound/card0/state').read().strip() == 'ONLINE')
# controlsd is driven by can recv, expected at 100Hz
rk = Ratekeeper(100, print_delay_threshold=None)
prof = Profiler(False) # off by default
while True:
start_time = sec_since_boot()
prof.checkpoint("Ratekeeper", ignore=True)
# Sample data and compute car events
CS, events, cal_status, cal_perc, overtemp, free_space, low_battery, mismatch_counter =\
data_sample(CI, CC, sm, can_sock, cal_status, cal_perc, overtemp, free_space, low_battery,
driver_status, state, mismatch_counter, params)
prof.checkpoint("Sample")
# Create alerts
if not sm.all_alive_and_valid():
events.append(
create_event('commIssue', [ET.NO_ENTRY, ET.SOFT_DISABLE]))
if not sm['pathPlan'].mpcSolutionValid:
events.append(
create_event('plannerError',
[ET.NO_ENTRY, ET.IMMEDIATE_DISABLE]))
if not sm['pathPlan'].sensorValid:
events.append(
create_event('sensorDataInvalid', [ET.NO_ENTRY, ET.PERMANENT]))
if not sm['pathPlan'].paramsValid:
events.append(create_event('vehicleModelInvalid', [ET.WARNING]))
if not sm['pathPlan'].posenetValid:
events.append(
create_event('posenetInvalid', [ET.NO_ENTRY, ET.SOFT_DISABLE]))
if not sm['plan'].radarValid:
events.append(
create_event('radarFault', [ET.NO_ENTRY, ET.SOFT_DISABLE]))
if sm['plan'].radarCanError:
events.append(
create_event('radarCanError', [ET.NO_ENTRY, ET.SOFT_DISABLE]))
if not CS.canValid:
events.append(
create_event('canError', [ET.NO_ENTRY, ET.IMMEDIATE_DISABLE]))
if not sounds_available:
events.append(
create_event('soundsUnavailable', [ET.NO_ENTRY, ET.PERMANENT]))
# Only allow engagement with brake pressed when stopped behind another stopped car
if CS.brakePressed and sm[
'plan'].vTargetFuture >= STARTING_TARGET_SPEED and not CP.radarOffCan and CS.vEgo < 0.3:
events.append(
create_event('noTarget', [ET.NO_ENTRY, ET.IMMEDIATE_DISABLE]))
if not read_only:
# update control state
state, soft_disable_timer, v_cruise_kph, v_cruise_kph_last = \
state_transition(sm.frame, CS, CP, state, events, soft_disable_timer, v_cruise_kph, AM)
prof.checkpoint("State transition")
# Compute actuators (runs PID loops and lateral MPC)
actuators, v_cruise_kph, driver_status, v_acc, a_acc, lac_log = \
state_control(sm.frame, sm.rcv_frame, sm['plan'], sm['pathPlan'], CS, CP, state, events, v_cruise_kph, v_cruise_kph_last, AM, rk,
driver_status, LaC, LoC, VM, read_only, is_metric, cal_perc)
prof.checkpoint("State Control")
# Publish data
CC, events_prev = data_send(sm, pm, CS, CI, CP, VM, state, events,
actuators, v_cruise_kph, rk, AM,
driver_status, LaC, LoC, read_only,
start_time, v_acc, a_acc, lac_log,
events_prev)
prof.checkpoint("Sent")
rk.monitor_time()
prof.display()
def controlsd_thread(gctx=None, rate=100):
gc.disable()
# start the loop
set_realtime_priority(3)
##### AS
context = zmq.Context()
live100 = messaging.pub_sock(context, service_list['live100'].port)
carstate = messaging.pub_sock(context, service_list['carState'].port)
carcontrol = messaging.pub_sock(context, service_list['carControl'].port)
carla_socket = context.socket(zmq.PAIR)
carla_socket.bind("tcp://*:5560")
is_metric = True
passive = True
##### AS
# No sendcan if passive
if not passive:
sendcan = messaging.pub_sock(context, service_list['sendcan'].port)
else:
sendcan = None
# Sub sockets
poller = zmq.Poller()
#thermal = messaging.sub_sock(context, service_list['thermal'].port, conflate=True, poller=poller)
#health = messaging.sub_sock(context, service_list['health'].port, conflate=True, poller=poller)
cal = messaging.sub_sock(context,
service_list['liveCalibration'].port,
conflate=True,
poller=poller)
#driver_monitor = messaging.sub_sock(context, service_list['driverMonitoring'].port, conflate=True, poller=poller)
plan_sock = messaging.sub_sock(context,
service_list['plan'].port,
conflate=True,
poller=poller)
path_plan_sock = messaging.sub_sock(context,
service_list['pathPlan'].port,
conflate=True,
poller=poller)
#logcan = messaging.sub_sock(context, service_list['can'].port)
CC = car.CarControl.new_message()
CP = ToyotaInterface.get_params("TOYOTA PRIUS 2017", {})
CP.steerRatio = 1.0
CI = ToyotaInterface(CP, sendcan)
if CI is None:
raise Exception("unsupported car")
# if stock camera is connected, then force passive behavior
if not CP.enableCamera:
passive = True
sendcan = None
if passive:
CP.safetyModel = car.CarParams.SafetyModels.noOutput
LoC = LongControl(CP, CI.compute_gb)
VM = VehicleModel(CP)
LaC = LatControl(CP)
AM = AlertManager()
if not passive:
AM.add("startup", False)
state = State.enabled
soft_disable_timer = 0
v_cruise_kph = 50 ##### !!! change
v_cruise_kph_last = 0 ##### !! change
cal_status = Calibration.CALIBRATED
cal_perc = 0
plan = messaging.new_message()
plan.init('plan')
path_plan = messaging.new_message()
path_plan.init('pathPlan')
rk = Ratekeeper(rate, print_delay_threshold=2. / 1000)
angle_offset = 0.
prof = Profiler(False) # off by default
startup = True ##### AS
while True:
start_time = int(sec_since_boot() * 1e9)
prof.checkpoint("Ratekeeper", ignore=True)
if cal_status != Calibration.CALIBRATED:
assert (1 == 0), 'Got uncalibrated for some reason'
stuff = recv_array(carla_socket)
current_vel = float(stuff[0])
current_steer = float(stuff[1])
v_cruise_kph = float(stuff[2])
updateInternalCS(CI.CS, current_vel, current_steer, 0, v_cruise_kph)
CS = returnNewCS(CI)
events = list(CS.events)
##### AS since we dont do preenabled state
if startup:
LaC.reset()
LoC.reset(v_pid=CS.vEgo)
v_acc = 0
a_acc = 0
AM.process_alerts(0.0)
startup = False
ASsend_live100_CS(plan, path_plan, CS, VM, state, events, v_cruise_kph,
AM, LaC, LoC, angle_offset, v_acc, a_acc, rk,
start_time, live100, carstate)
cal_status, cal_perc, plan, path_plan =\
ASdata_sample(plan_sock, path_plan_sock, cal, poller, cal_status, cal_perc, state, plan, path_plan)
prof.checkpoint("Sample")
path_plan_age = (start_time - path_plan.logMonoTime) / 1e9
plan_age = (start_time - plan.logMonoTime) / 1e9
if not path_plan.pathPlan.valid or plan_age > 0.5 or path_plan_age > 0.5:
print 'planner time too long or invalid'
#events.append(create_event('plannerError', [ET.NO_ENTRY, ET.SOFT_DISABLE]))
events += list(plan.plan.events)
# Only allow engagement with brake pressed when stopped behind another stopped car
#if CS.brakePressed and plan.plan.vTargetFuture >= STARTING_TARGET_SPEED and not CP.radarOffCan and CS.vEgo < 0.3:
# events.append(create_event('noTarget', [ET.NO_ENTRY, ET.IMMEDIATE_DISABLE]))
if not passive:
# update control state
state, soft_disable_timer, v_cruise_kph, v_cruise_kph_last = \
state_transition(CS, CP, state, events, soft_disable_timer, v_cruise_kph, AM)
prof.checkpoint("State transition")
v_acc, a_acc = \
ASstate_control(plan.plan, path_plan.pathPlan, CS, CP, state, events, v_cruise_kph,
v_cruise_kph_last, AM, rk,
LaC, LoC, VM, angle_offset, passive, is_metric, cal_perc)
prof.checkpoint("State Control")
# Publish data
yawrate = VM.yaw_rate(math.radians(path_plan.pathPlan.angleSteers),
v_acc)
beta = (VM.aR + VM.aF * VM.chi -
VM.m * v_acc**2 / VM.cF / VM.cR / VM.l *
(VM.cF * VM.aF - VM.cR * VM.aR * VM.chi))
beta *= yawrate / (1 - VM.chi) / v_acc
send_array(
carla_socket,
np.array([
v_acc, path_plan.pathPlan.angleSteers,
-3.3 * math.degrees(yawrate), -3.3 * math.degrees(beta)
]))
prof.checkpoint("Sent")
rk.monitor_time() # Run at 100Hz, no 20 Hz
prof.display()
def radard_thread(gctx=None):
set_realtime_priority(2)
# wait for stats about the car to come in from controls
cloudlog.info("radard is waiting for CarParams")
CP = car.CarParams.from_bytes(Params().get("CarParams", block=True))
use_tesla_radar = CarSettings().get_value("useTeslaRadar")
mocked = (CP.carName == "mock") or ((CP.carName == "tesla")
and not use_tesla_radar)
cloudlog.info("radard got CarParams")
# import the radar from the fingerprint
cloudlog.info("radard is importing %s", CP.carName)
RadarInterface = importlib.import_module(
'selfdrive.car.%s.radar_interface' % CP.carName).RadarInterface
can_sock = messaging.sub_sock(service_list['can'].port)
sm = messaging.SubMaster(['model', 'controlsState', 'liveParameters'])
RI = RadarInterface(CP)
# *** publish radarState and liveTracks
radarState = messaging.pub_sock(service_list['radarState'].port)
liveTracks = messaging.pub_sock(service_list['liveTracks'].port)
icLeads = messaging.pub_sock(service_list['uiIcLeads'].port)
rk = Ratekeeper(rate, print_delay_threshold=None)
RD = RadarD(mocked, RI)
has_radar = not CP.radarOffCan or mocked
last_md_ts = 0.
v_ego = 0.
while 1:
can_strings = messaging.drain_sock_raw(can_sock, wait_for_one=True)
rr, rrext = RI.update(can_strings)
if rr is None:
continue
sm.update(0)
if sm.updated['controlsState']:
v_ego = sm['controlsState'].vEgo
dat, datext = RD.update(rk.frame, RI.delay, sm, rr, has_radar, rrext)
dat.radarState.cumLagMs = -rk.remaining * 1000.
radarState.send(dat.to_bytes())
icLeads.send(datext.to_bytes())
# *** publish tracks for UI debugging (keep last) ***
tracks = RD.tracks
dat = messaging.new_message()
dat.init('liveTracks', len(tracks))
for cnt, ids in enumerate(tracks.keys()):
dat.liveTracks[cnt] = {
"trackId": ids,
"dRel": float(tracks[ids].dRel),
"yRel": float(tracks[ids].yRel),
"vRel": float(tracks[ids].vRel),
}
liveTracks.send(dat.to_bytes())
rk.monitor_time()
def controlsd_thread(gctx=None):
gc.disable()
# start the loop
set_realtime_priority(3)
params = Params()
# Pub Sockets
sendcan = messaging.pub_sock(service_list['sendcan'].port)
controlsstate = messaging.pub_sock(service_list['controlsState'].port)
carstate = messaging.pub_sock(service_list['carState'].port)
carcontrol = messaging.pub_sock(service_list['carControl'].port)
carevents = messaging.pub_sock(service_list['carEvents'].port)
carparams = messaging.pub_sock(service_list['carParams'].port)
is_metric = params.get("IsMetric") == "1"
passive = params.get("Passive") != "0"
sm = messaging.SubMaster([
'thermal', 'health', 'liveCalibration', 'driverMonitoring', 'plan',
'pathPlan'
])
logcan = messaging.sub_sock(service_list['can'].port)
CI, CP = get_car(logcan, sendcan)
logcan.close()
# TODO: Use the logcan socket from above, but that will currenly break the tests
can_sock = messaging.sub_sock(service_list['can'].port, timeout=100)
CC = car.CarControl.new_message()
AM = AlertManager()
car_recognized = CP.carName != 'mock'
# If stock camera is disconnected, we loaded car controls and it's not chffrplus
controller_available = CP.enableCamera and CI.CC is not None and not passive
read_only = not car_recognized or not controller_available
if read_only:
CP.safetyModel = car.CarParams.SafetyModel.elm327 # diagnostic only
startup_alert = get_startup_alert(car_recognized, controller_available)
AM.add(sm.frame, startup_alert, False)
LoC = LongControl(CP, CI.compute_gb)
VM = VehicleModel(CP)
if CP.lateralTuning.which() == 'pid':
LaC = LatControlPID(CP)
else:
LaC = LatControlINDI(CP)
driver_status = DriverStatus()
# Write CarParams for radard and boardd safety mode
params.put("CarParams", CP.to_bytes())
params.put("LongitudinalControl",
"1" if CP.openpilotLongitudinalControl else "0")
state = State.disabled
soft_disable_timer = 0
v_cruise_kph = 255
v_cruise_kph_last = 0
overtemp = False
free_space = False
cal_status = Calibration.INVALID
cal_perc = 0
mismatch_counter = 0
low_battery = False
events_prev = []
sm['pathPlan'].sensorValid = True
# controlsd is driven by can recv, expected at 100Hz
rk = Ratekeeper(100, print_delay_threshold=None)
prof = Profiler(False) # off by default
while True:
start_time = sec_since_boot()
prof.checkpoint("Ratekeeper", ignore=True)
# Sample data and compute car events
CS, events, cal_status, cal_perc, overtemp, free_space, low_battery, mismatch_counter =\
data_sample(CI, CC, sm, can_sock, cal_status, cal_perc, overtemp, free_space, low_battery,
driver_status, state, mismatch_counter, params)
prof.checkpoint("Sample")
# Create alerts
if not sm.all_alive_and_valid():
events.append(
create_event('commIssue', [ET.NO_ENTRY, ET.SOFT_DISABLE]))
if not sm['pathPlan'].mpcSolutionValid:
events.append(
create_event('plannerError',
[ET.NO_ENTRY, ET.IMMEDIATE_DISABLE]))
if not sm['pathPlan'].sensorValid:
events.append(
create_event('sensorDataInvalid', [ET.NO_ENTRY, ET.PERMANENT]))
if not sm['pathPlan'].paramsValid:
events.append(create_event('vehicleModelInvalid', [ET.WARNING]))
if not sm['plan'].radarValid:
events.append(
create_event('radarFault', [ET.NO_ENTRY, ET.SOFT_DISABLE]))
if sm['plan'].radarCanError:
events.append(
create_event('radarCanError', [ET.NO_ENTRY, ET.SOFT_DISABLE]))
if not CS.canValid:
events.append(
create_event('canError', [ET.NO_ENTRY, ET.IMMEDIATE_DISABLE]))
# Only allow engagement with brake pressed when stopped behind another stopped car
if CS.brakePressed and sm[
'plan'].vTargetFuture >= STARTING_TARGET_SPEED and not CP.radarOffCan and CS.vEgo < 0.3:
events.append(
create_event('noTarget', [ET.NO_ENTRY, ET.IMMEDIATE_DISABLE]))
if not read_only:
# update control state
state, soft_disable_timer, v_cruise_kph, v_cruise_kph_last = \
state_transition(sm.frame, CS, CP, state, events, soft_disable_timer, v_cruise_kph, AM)
prof.checkpoint("State transition")
# Compute actuators (runs PID loops and lateral MPC)
actuators, v_cruise_kph, driver_status, v_acc, a_acc, lac_log = \
state_control(sm.frame, sm.rcv_frame, sm['plan'], sm['pathPlan'], CS, CP, state, events, v_cruise_kph, v_cruise_kph_last, AM, rk,
driver_status, LaC, LoC, VM, read_only, is_metric, cal_perc)
prof.checkpoint("State Control")
# Publish data
CC, events_prev = data_send(sm, CS, CI, CP, VM, state, events,
actuators, v_cruise_kph, rk, carstate,
carcontrol, carevents, carparams,
controlsstate, sendcan, AM, driver_status,
LaC, LoC, read_only, start_time, v_acc,
a_acc, lac_log, events_prev)
prof.checkpoint("Sent")
rk.monitor_time()
prof.display()
def radard_thread(sm=None, pm=None, can_sock=None):
set_realtime_priority(2)
# wait for stats about the car to come in from controls
cloudlog.info("radard is waiting for CarParams")
CP = car.CarParams.from_bytes(Params().get("CarParams", block=True))
use_tesla_radar = CarSettings().get_value("useTeslaRadar")
mocked = (CP.carName == "mock") or ((CP.carName == "tesla") and not use_tesla_radar)
cloudlog.info("radard got CarParams")
# import the radar from the fingerprint
cloudlog.info("radard is importing %s", CP.carName)
RadarInterface = importlib.import_module('selfdrive.car.%s.radar_interface' % CP.carName).RadarInterface
if can_sock is None:
can_sock = messaging.sub_sock('can')
if sm is None:
sm = messaging.SubMaster(['model', 'controlsState', 'liveParameters', 'pathPlan'])
# *** publish radarState and liveTracks
if pm is None:
pm = messaging.PubMaster(['radarState', 'liveTracks'])
icLeads = messaging.pub_sock('uiIcLeads')
ahbInfo = messaging.pub_sock('ahbInfo')
RI = RadarInterface(CP)
rk = Ratekeeper(1.0 / DT_RDR, print_delay_threshold=None)
RD = RadarD(mocked, RI, use_tesla_radar,RI.delay)
has_radar = not CP.radarOffCan or mocked
last_md_ts = 0.
v_ego = 0.
while 1:
can_strings = messaging.drain_sock_raw(can_sock, wait_for_one=True)
sm.update(0)
if sm.updated['controlsState']:
v_ego = sm['controlsState'].vEgo
rr,rrext,ahbCarDetected = RI.update(can_strings,v_ego)
if rr is None:
continue
dat,datext = RD.update(rk.frame, sm, rr, has_radar, rrext)
dat.radarState.cumLagMs = -rk.remaining*1000.
pm.send('radarState', dat)
icLeads.send(datext.to_bytes())
ahbInfoMsg = tesla.AHBinfo.new_message()
ahbInfoMsg.source = 0
ahbInfoMsg.radarCarDetected = ahbCarDetected
ahbInfoMsg.cameraCarDetected = False
ahbInfo.send(ahbInfoMsg.to_bytes())
# *** publish tracks for UI debugging (keep last) ***
tracks = RD.tracks
dat = messaging.new_message()
dat.init('liveTracks', len(tracks))
for cnt, ids in enumerate(sorted(tracks.keys())):
dat.liveTracks[cnt] = {
"trackId": ids,
"dRel": float(tracks[ids].dRel),
"yRel": float(tracks[ids].yRel),
"vRel": float(tracks[ids].vRel),
}
pm.send('liveTracks', dat)
rk.monitor_time()
class Controls:
def __init__(self, sm=None, pm=None, can_sock=None):
config_realtime_process(4 if TICI else 3, Priority.CTRL_HIGH)
# Setup sockets
self.pm = pm
if self.pm is None:
self.pm = messaging.PubMaster([
'sendcan', 'controlsState', 'carState', 'carControl',
'carEvents', 'carParams'
])
self.camera_packets = ["roadCameraState", "driverCameraState"]
if TICI:
self.camera_packets.append("wideRoadCameraState")
params = Params()
self.joystick_mode = params.get_bool("JoystickDebugMode")
joystick_packet = ['testJoystick'] if self.joystick_mode else []
self.sm = sm
if self.sm is None:
ignore = ['driverCameraState', 'managerState'
] if SIMULATION else None
self.sm = messaging.SubMaster(
[
'deviceState', 'pandaStates', 'peripheralState', 'modelV2',
'liveCalibration', 'driverMonitoringState',
'longitudinalPlan', 'lateralPlan', 'liveLocationKalman',
'managerState', 'liveParameters', 'radarState'
] + self.camera_packets + joystick_packet,
ignore_alive=ignore,
ignore_avg_freq=['radarState', 'longitudinalPlan'])
self.can_sock = can_sock
if can_sock is None:
can_timeout = None if os.environ.get('NO_CAN_TIMEOUT',
False) else 100
self.can_sock = messaging.sub_sock('can', timeout=can_timeout)
if TICI:
self.log_sock = messaging.sub_sock('androidLog')
# wait for one pandaState and one CAN packet
print("Waiting for CAN messages...")
get_one_can(self.can_sock)
self.CI, self.CP = get_car(self.can_sock, self.pm.sock['sendcan'])
# read params
self.is_metric = params.get_bool("IsMetric")
self.is_ldw_enabled = params.get_bool("IsLdwEnabled")
community_feature_toggle = params.get_bool("CommunityFeaturesToggle")
openpilot_enabled_toggle = params.get_bool("OpenpilotEnabledToggle")
passive = params.get_bool("Passive") or not openpilot_enabled_toggle
# detect sound card presence and ensure successful init
sounds_available = HARDWARE.get_sound_card_online()
car_recognized = self.CP.carName != 'mock'
controller_available = self.CI.CC is not None and not passive and not self.CP.dashcamOnly
community_feature = self.CP.communityFeature or \
self.CP.fingerprintSource == car.CarParams.FingerprintSource.can
community_feature_disallowed = community_feature and (
not community_feature_toggle)
self.read_only = not car_recognized or not controller_available or \
self.CP.dashcamOnly or community_feature_disallowed
if self.read_only:
safety_config = car.CarParams.SafetyConfig.new_message()
safety_config.safetyModel = car.CarParams.SafetyModel.noOutput
self.CP.safetyConfigs = [safety_config]
# Write CarParams for radard
cp_bytes = self.CP.to_bytes()
params.put("CarParams", cp_bytes)
put_nonblocking("CarParamsCache", cp_bytes)
self.CC = car.CarControl.new_message()
self.AM = AlertManager()
self.events = Events()
self.LoC = LongControl(self.CP)
self.VM = VehicleModel(self.CP)
if self.CP.steerControlType == car.CarParams.SteerControlType.angle:
self.LaC = LatControlAngle(self.CP)
elif self.CP.lateralTuning.which() == 'pid':
self.LaC = LatControlPID(self.CP, self.CI)
elif self.CP.lateralTuning.which() == 'indi':
self.LaC = LatControlINDI(self.CP)
elif self.CP.lateralTuning.which() == 'lqr':
self.LaC = LatControlLQR(self.CP)
self.initialized = False
self.state = State.disabled
self.enabled = False
self.active = False
self.can_rcv_error = False
self.soft_disable_timer = 0
self.v_cruise_kph = 255
self.v_cruise_kph_last = 0
self.mismatch_counter = 0
self.can_error_counter = 0
self.last_blinker_frame = 0
self.saturated_count = 0
self.distance_traveled = 0
self.last_functional_fan_frame = 0
self.events_prev = []
self.current_alert_types = [ET.PERMANENT]
self.logged_comm_issue = False
self.button_timers = {
ButtonEvent.Type.decelCruise: 0,
ButtonEvent.Type.accelCruise: 0
}
# TODO: no longer necessary, aside from process replay
self.sm['liveParameters'].valid = True
self.startup_event = get_startup_event(car_recognized,
controller_available,
len(self.CP.carFw) > 0)
if not sounds_available:
self.events.add(EventName.soundsUnavailable, static=True)
if community_feature_disallowed and car_recognized and not self.CP.dashcamOnly:
self.events.add(EventName.communityFeatureDisallowed, static=True)
if not car_recognized:
self.events.add(EventName.carUnrecognized, static=True)
elif self.read_only:
self.events.add(EventName.dashcamMode, static=True)
elif self.joystick_mode:
self.events.add(EventName.joystickDebug, static=True)
self.startup_event = None
# controlsd is driven by can recv, expected at 100Hz
self.rk = Ratekeeper(100, print_delay_threshold=None)
self.prof = Profiler(False) # off by default
def update_events(self, CS):
"""Compute carEvents from carState"""
self.events.clear()
self.events.add_from_msg(CS.events)
self.events.add_from_msg(self.sm['driverMonitoringState'].events)
# Handle startup event
if self.startup_event is not None:
self.events.add(self.startup_event)
self.startup_event = None
# Don't add any more events if not initialized
if not self.initialized:
self.events.add(EventName.controlsInitializing)
return
# Create events for battery, temperature, disk space, and memory
if EON and (self.sm['peripheralState'].pandaType != PandaType.uno) and \
self.sm['deviceState'].batteryPercent < 1 and self.sm['deviceState'].chargingError:
# at zero percent battery, while discharging, OP should not allowed
self.events.add(EventName.lowBattery)
if self.sm['deviceState'].thermalStatus >= ThermalStatus.red:
self.events.add(EventName.overheat)
if self.sm['deviceState'].freeSpacePercent < 7 and not SIMULATION:
# under 7% of space free no enable allowed
self.events.add(EventName.outOfSpace)
# TODO: make tici threshold the same
if self.sm['deviceState'].memoryUsagePercent > (90 if TICI else
65) and not SIMULATION:
self.events.add(EventName.lowMemory)
cpus = list(
self.sm['deviceState'].cpuUsagePercent)[:(-1 if EON else None)]
if max(cpus, default=0) > 95 and not SIMULATION:
self.events.add(EventName.highCpuUsage)
# Alert if fan isn't spinning for 5 seconds
if self.sm['peripheralState'].pandaType in [
PandaType.uno, PandaType.dos
]:
if self.sm['peripheralState'].fanSpeedRpm == 0 and self.sm[
'deviceState'].fanSpeedPercentDesired > 50:
if (self.sm.frame -
self.last_functional_fan_frame) * DT_CTRL > 5.0:
self.events.add(EventName.fanMalfunction)
else:
self.last_functional_fan_frame = self.sm.frame
# Handle calibration status
cal_status = self.sm['liveCalibration'].calStatus
if cal_status != Calibration.CALIBRATED:
if cal_status == Calibration.UNCALIBRATED:
self.events.add(EventName.calibrationIncomplete)
else:
self.events.add(EventName.calibrationInvalid)
# Handle lane change
if self.sm[
'lateralPlan'].laneChangeState == LaneChangeState.preLaneChange:
direction = self.sm['lateralPlan'].laneChangeDirection
if (CS.leftBlindspot and direction == LaneChangeDirection.left) or \
(CS.rightBlindspot and direction == LaneChangeDirection.right):
self.events.add(EventName.laneChangeBlocked)
else:
if direction == LaneChangeDirection.left:
self.events.add(EventName.preLaneChangeLeft)
else:
self.events.add(EventName.preLaneChangeRight)
elif self.sm['lateralPlan'].laneChangeState in [
LaneChangeState.laneChangeStarting,
LaneChangeState.laneChangeFinishing
]:
self.events.add(EventName.laneChange)
if self.can_rcv_error or not CS.canValid:
self.events.add(EventName.canError)
for i, pandaState in enumerate(self.sm['pandaStates']):
# All pandas must match the list of safetyConfigs, and if outside this list, must be silent
if i < len(self.CP.safetyConfigs):
safety_mismatch = pandaState.safetyModel != self.CP.safetyConfigs[
i].safetyModel or pandaState.safetyParam != self.CP.safetyConfigs[
i].safetyParam
else:
safety_mismatch = pandaState.safetyModel != SafetyModel.silent
if safety_mismatch or self.mismatch_counter >= 200:
self.events.add(EventName.controlsMismatch)
if not self.sm['liveParameters'].valid:
self.events.add(EventName.vehicleModelInvalid)
if len(self.sm['radarState'].radarErrors):
self.events.add(EventName.radarFault)
elif not self.sm.valid["pandaStates"]:
self.events.add(EventName.usbError)
elif not self.sm.all_alive_and_valid():
self.events.add(EventName.commIssue)
if not self.logged_comm_issue:
invalid = [
s for s, valid in self.sm.valid.items() if not valid
]
not_alive = [
s for s, alive in self.sm.alive.items() if not alive
]
cloudlog.event("commIssue",
invalid=invalid,
not_alive=not_alive)
self.logged_comm_issue = True
else:
self.logged_comm_issue = False
if not self.sm['lateralPlan'].mpcSolutionValid:
self.events.add(EventName.plannerError)
if not self.sm['liveLocationKalman'].sensorsOK and not NOSENSOR:
if self.sm.frame > 5 / DT_CTRL: # Give locationd some time to receive all the inputs
self.events.add(EventName.sensorDataInvalid)
if not self.sm['liveLocationKalman'].posenetOK:
self.events.add(EventName.posenetInvalid)
if not self.sm['liveLocationKalman'].deviceStable:
self.events.add(EventName.deviceFalling)
for pandaState in self.sm['pandaStates']:
if log.PandaState.FaultType.relayMalfunction in pandaState.faults:
self.events.add(EventName.relayMalfunction)
planner_fcw = self.sm['longitudinalPlan'].fcw and self.enabled
model_fcw = self.sm[
'modelV2'].meta.hardBrakePredicted and not CS.brakePressed
if planner_fcw or model_fcw:
self.events.add(EventName.fcw)
if TICI:
logs = messaging.drain_sock(self.log_sock, wait_for_one=False)
messages = []
for m in logs:
try:
messages.append(m.androidLog.message)
except UnicodeDecodeError:
pass
for err in [
"ERROR_CRC", "ERROR_ECC", "ERROR_STREAM_UNDERFLOW",
"APPLY FAILED"
]:
for m in messages:
if err not in m:
continue
csid = m.split("CSID:")[-1].split(" ")[0]
evt = {
"0": EventName.roadCameraError,
"1": EventName.wideRoadCameraError,
"2": EventName.driverCameraError
}.get(csid, None)
if evt is not None:
self.events.add(evt)
# TODO: fix simulator
if not SIMULATION:
if not NOSENSOR:
if not self.sm['liveLocationKalman'].gpsOK and (
self.distance_traveled > 1000):
# Not show in first 1 km to allow for driving out of garage. This event shows after 5 minutes
self.events.add(EventName.noGps)
if not self.sm.all_alive(self.camera_packets):
self.events.add(EventName.cameraMalfunction)
if self.sm['modelV2'].frameDropPerc > 20:
self.events.add(EventName.modeldLagging)
if self.sm['liveLocationKalman'].excessiveResets:
self.events.add(EventName.localizerMalfunction)
# Check if all manager processes are running
not_running = set(p.name for p in self.sm['managerState'].processes
if not p.running)
if self.sm.rcv_frame['managerState'] and (not_running -
IGNORE_PROCESSES):
self.events.add(EventName.processNotRunning)
# Only allow engagement with brake pressed when stopped behind another stopped car
speeds = self.sm['longitudinalPlan'].speeds
if len(speeds) > 1:
v_future = speeds[-1]
else:
v_future = 100.0
if CS.brakePressed and v_future >= self.CP.vEgoStarting \
and self.CP.openpilotLongitudinalControl and CS.vEgo < 0.3:
self.events.add(EventName.noTarget)
def data_sample(self):
"""Receive data from sockets and update carState"""
# Update carState from CAN
can_strs = messaging.drain_sock_raw(self.can_sock, wait_for_one=True)
CS = self.CI.update(self.CC, can_strs)
self.sm.update(0)
all_valid = CS.canValid and self.sm.all_alive_and_valid()
if not self.initialized and (all_valid or self.sm.frame * DT_CTRL > 3.5
or SIMULATION):
if not self.read_only:
self.CI.init(self.CP, self.can_sock, self.pm.sock['sendcan'])
self.initialized = True
Params().put_bool("ControlsReady", True)
# Check for CAN timeout
if not can_strs:
self.can_error_counter += 1
self.can_rcv_error = True
else:
self.can_rcv_error = False
# When the panda and controlsd do not agree on controls_allowed
# we want to disengage openpilot. However the status from the panda goes through
# another socket other than the CAN messages and one can arrive earlier than the other.
# Therefore we allow a mismatch for two samples, then we trigger the disengagement.
if not self.enabled:
self.mismatch_counter = 0
# All pandas not in silent mode must have controlsAllowed when openpilot is enabled
for pandaState in self.sm['pandaStates']:
if pandaState.safetyModel != SafetyModel.silent and not pandaState.controlsAllowed and self.enabled:
self.mismatch_counter += 1
self.distance_traveled += CS.vEgo * DT_CTRL
return CS
def state_transition(self, CS):
"""Compute conditional state transitions and execute actions on state transitions"""
self.v_cruise_kph_last = self.v_cruise_kph
# if stock cruise is completely disabled, then we can use our own set speed logic
if not self.CP.pcmCruise:
self.v_cruise_kph = update_v_cruise(self.v_cruise_kph,
CS.buttonEvents,
self.button_timers,
self.enabled, self.is_metric)
elif self.CP.pcmCruise and CS.cruiseState.enabled:
self.v_cruise_kph = CS.cruiseState.speed * CV.MS_TO_KPH
# decrease the soft disable timer at every step, as it's reset on
# entrance in SOFT_DISABLING state
self.soft_disable_timer = max(0, self.soft_disable_timer - 1)
self.current_alert_types = [ET.PERMANENT]
# ENABLED, PRE ENABLING, SOFT DISABLING
if self.state != State.disabled:
# user and immediate disable always have priority in a non-disabled state
if self.events.any(ET.USER_DISABLE):
self.state = State.disabled
self.current_alert_types.append(ET.USER_DISABLE)
elif self.events.any(ET.IMMEDIATE_DISABLE):
self.state = State.disabled
self.current_alert_types.append(ET.IMMEDIATE_DISABLE)
else:
# ENABLED
if self.state == State.enabled:
if self.events.any(ET.SOFT_DISABLE):
self.state = State.softDisabling
self.soft_disable_timer = 300 # 3s
self.current_alert_types.append(ET.SOFT_DISABLE)
# SOFT DISABLING
elif self.state == State.softDisabling:
if not self.events.any(ET.SOFT_DISABLE):
# no more soft disabling condition, so go back to ENABLED
self.state = State.enabled
elif self.events.any(
ET.SOFT_DISABLE) and self.soft_disable_timer > 0:
self.current_alert_types.append(ET.SOFT_DISABLE)
elif self.soft_disable_timer <= 0:
self.state = State.disabled
# PRE ENABLING
elif self.state == State.preEnabled:
if not self.events.any(ET.PRE_ENABLE):
self.state = State.enabled
else:
self.current_alert_types.append(ET.PRE_ENABLE)
# DISABLED
elif self.state == State.disabled:
if self.events.any(ET.ENABLE):
if self.events.any(ET.NO_ENTRY):
self.current_alert_types.append(ET.NO_ENTRY)
else:
if self.events.any(ET.PRE_ENABLE):
self.state = State.preEnabled
else:
self.state = State.enabled
self.current_alert_types.append(ET.ENABLE)
self.v_cruise_kph = initialize_v_cruise(
CS.vEgo, CS.buttonEvents, self.v_cruise_kph_last)
# Check if actuators are enabled
self.active = self.state == State.enabled or self.state == State.softDisabling
if self.active:
self.current_alert_types.append(ET.WARNING)
# Check if openpilot is engaged
self.enabled = self.active or self.state == State.preEnabled
def state_control(self, CS):
"""Given the state, this function returns an actuators packet"""
# Update VehicleModel
params = self.sm['liveParameters']
x = max(params.stiffnessFactor, 0.1)
sr = max(params.steerRatio, 0.1)
self.VM.update_params(x, sr)
lat_plan = self.sm['lateralPlan']
long_plan = self.sm['longitudinalPlan']
actuators = car.CarControl.Actuators.new_message()
actuators.longControlState = self.LoC.long_control_state
if CS.leftBlinker or CS.rightBlinker:
self.last_blinker_frame = self.sm.frame
# State specific actions
if not self.active:
self.LaC.reset()
self.LoC.reset(v_pid=CS.vEgo)
if not self.joystick_mode:
# accel PID loop
pid_accel_limits = self.CI.get_pid_accel_limits(
self.CP, CS.vEgo, self.v_cruise_kph * CV.KPH_TO_MS)
actuators.accel = self.LoC.update(self.active, CS, self.CP,
long_plan, pid_accel_limits)
# Steering PID loop and lateral MPC
desired_curvature, desired_curvature_rate = get_lag_adjusted_curvature(
self.CP, CS.vEgo, lat_plan.psis, lat_plan.curvatures,
lat_plan.curvatureRates)
actuators.steer, actuators.steeringAngleDeg, lac_log = self.LaC.update(
self.active, CS, self.CP, self.VM, params, desired_curvature,
desired_curvature_rate)
else:
lac_log = log.ControlsState.LateralDebugState.new_message()
if self.sm.rcv_frame['testJoystick'] > 0 and self.active:
actuators.accel = 4.0 * clip(self.sm['testJoystick'].axes[0],
-1, 1)
steer = clip(self.sm['testJoystick'].axes[1], -1, 1)
# max angle is 45 for angle-based cars
actuators.steer, actuators.steeringAngleDeg = steer, steer * 45.
lac_log.active = True
lac_log.steeringAngleDeg = CS.steeringAngleDeg
lac_log.output = steer
lac_log.saturated = abs(steer) >= 0.9
# Check for difference between desired angle and angle for angle based control
angle_control_saturated = self.CP.steerControlType == car.CarParams.SteerControlType.angle and \
abs(actuators.steeringAngleDeg - CS.steeringAngleDeg) > STEER_ANGLE_SATURATION_THRESHOLD
if angle_control_saturated and not CS.steeringPressed and self.active:
self.saturated_count += 1
else:
self.saturated_count = 0
# Send a "steering required alert" if saturation count has reached the limit
if (lac_log.saturated and not CS.steeringPressed) or \
(self.saturated_count > STEER_ANGLE_SATURATION_TIMEOUT):
if len(lat_plan.dPathPoints):
# Check if we deviated from the path
left_deviation = actuators.steer > 0 and lat_plan.dPathPoints[
0] < -0.1
right_deviation = actuators.steer < 0 and lat_plan.dPathPoints[
0] > 0.1
if left_deviation or right_deviation:
self.events.add(EventName.steerSaturated)
# Ensure no NaNs/Infs
for p in ACTUATOR_FIELDS:
attr = getattr(actuators, p)
if not isinstance(attr, Number):
continue
if not math.isfinite(attr):
cloudlog.error(
f"actuators.{p} not finite {actuators.to_dict()}")
setattr(actuators, p, 0.0)
return actuators, lac_log
def update_button_timers(self, buttonEvents):
# increment timer for buttons still pressed
for k in self.button_timers.keys():
if self.button_timers[k] > 0:
self.button_timers[k] += 1
for b in buttonEvents:
if b.type.raw in self.button_timers:
self.button_timers[b.type.raw] = 1 if b.pressed else 0
def publish_logs(self, CS, start_time, actuators, lac_log):
"""Send actuators and hud commands to the car, send controlsstate and MPC logging"""
CC = car.CarControl.new_message()
CC.enabled = self.enabled
CC.active = self.active
CC.actuators = actuators
CC.cruiseControl.cancel = CS.cruiseState.enabled and (
not self.enabled or not self.CP.pcmCruise)
if self.joystick_mode and self.sm.rcv_frame[
'testJoystick'] > 0 and self.sm['testJoystick'].buttons[0]:
CC.cruiseControl.cancel = True
CC.hudControl.setSpeed = float(self.v_cruise_kph * CV.KPH_TO_MS)
CC.hudControl.speedVisible = self.enabled
CC.hudControl.lanesVisible = self.enabled
CC.hudControl.leadVisible = self.sm['longitudinalPlan'].hasLead
right_lane_visible = self.sm['lateralPlan'].rProb > 0.5
left_lane_visible = self.sm['lateralPlan'].lProb > 0.5
CC.hudControl.rightLaneVisible = bool(right_lane_visible)
CC.hudControl.leftLaneVisible = bool(left_lane_visible)
recent_blinker = (self.sm.frame - self.last_blinker_frame
) * DT_CTRL < 5.0 # 5s blinker cooldown
ldw_allowed = self.is_ldw_enabled and CS.vEgo > LDW_MIN_SPEED and not recent_blinker \
and not self.active and self.sm['liveCalibration'].calStatus == Calibration.CALIBRATED
meta = self.sm['modelV2'].meta
if len(meta.desirePrediction) and ldw_allowed:
l_lane_change_prob = meta.desirePrediction[Desire.laneChangeLeft -
1]
r_lane_change_prob = meta.desirePrediction[Desire.laneChangeRight -
1]
l_lane_close = left_lane_visible and (
self.sm['modelV2'].laneLines[1].y[0] > -(1.08 + CAMERA_OFFSET))
r_lane_close = right_lane_visible and (
self.sm['modelV2'].laneLines[2].y[0] < (1.08 - CAMERA_OFFSET))
CC.hudControl.leftLaneDepart = bool(
l_lane_change_prob > LANE_DEPARTURE_THRESHOLD and l_lane_close)
CC.hudControl.rightLaneDepart = bool(
r_lane_change_prob > LANE_DEPARTURE_THRESHOLD and r_lane_close)
if CC.hudControl.rightLaneDepart or CC.hudControl.leftLaneDepart:
self.events.add(EventName.ldw)
clear_event = ET.WARNING if ET.WARNING not in self.current_alert_types else None
alerts = self.events.create_alerts(self.current_alert_types,
[self.CP, self.sm, self.is_metric])
self.AM.add_many(self.sm.frame, alerts, self.enabled)
self.AM.process_alerts(self.sm.frame, clear_event)
CC.hudControl.visualAlert = self.AM.visual_alert
if not self.read_only and self.initialized:
# send car controls over can
can_sends = self.CI.apply(CC)
self.pm.send(
'sendcan',
can_list_to_can_capnp(can_sends,
msgtype='sendcan',
valid=CS.canValid))
force_decel = (self.sm['driverMonitoringState'].awarenessStatus < 0.) or \
(self.state == State.softDisabling)
# Curvature & Steering angle
params = self.sm['liveParameters']
steer_angle_without_offset = math.radians(CS.steeringAngleDeg -
params.angleOffsetAverageDeg)
curvature = -self.VM.calc_curvature(steer_angle_without_offset,
CS.vEgo)
# controlsState
dat = messaging.new_message('controlsState')
dat.valid = CS.canValid
controlsState = dat.controlsState
controlsState.alertText1 = self.AM.alert_text_1
controlsState.alertText2 = self.AM.alert_text_2
controlsState.alertSize = self.AM.alert_size
controlsState.alertStatus = self.AM.alert_status
controlsState.alertBlinkingRate = self.AM.alert_rate
controlsState.alertType = self.AM.alert_type
controlsState.alertSound = self.AM.audible_alert
controlsState.canMonoTimes = list(CS.canMonoTimes)
controlsState.longitudinalPlanMonoTime = self.sm.logMonoTime[
'longitudinalPlan']
controlsState.lateralPlanMonoTime = self.sm.logMonoTime['lateralPlan']
controlsState.enabled = self.enabled
controlsState.active = self.active
controlsState.curvature = curvature
controlsState.state = self.state
controlsState.engageable = not self.events.any(ET.NO_ENTRY)
controlsState.longControlState = self.LoC.long_control_state
controlsState.vPid = float(self.LoC.v_pid)
controlsState.vCruise = float(self.v_cruise_kph)
controlsState.upAccelCmd = float(self.LoC.pid.p)
controlsState.uiAccelCmd = float(self.LoC.pid.i)
controlsState.ufAccelCmd = float(self.LoC.pid.f)
controlsState.cumLagMs = -self.rk.remaining * 1000.
controlsState.startMonoTime = int(start_time * 1e9)
controlsState.forceDecel = bool(force_decel)
controlsState.canErrorCounter = self.can_error_counter
if self.joystick_mode:
controlsState.lateralControlState.debugState = lac_log
elif self.CP.steerControlType == car.CarParams.SteerControlType.angle:
controlsState.lateralControlState.angleState = lac_log
elif self.CP.lateralTuning.which() == 'pid':
controlsState.lateralControlState.pidState = lac_log
elif self.CP.lateralTuning.which() == 'lqr':
controlsState.lateralControlState.lqrState = lac_log
elif self.CP.lateralTuning.which() == 'indi':
controlsState.lateralControlState.indiState = lac_log
self.pm.send('controlsState', dat)
# carState
car_events = self.events.to_msg()
cs_send = messaging.new_message('carState')
cs_send.valid = CS.canValid
cs_send.carState = CS
cs_send.carState.events = car_events
self.pm.send('carState', cs_send)
# carEvents - logged every second or on change
if (self.sm.frame % int(1. / DT_CTRL)
== 0) or (self.events.names != self.events_prev):
ce_send = messaging.new_message('carEvents', len(self.events))
ce_send.carEvents = car_events
self.pm.send('carEvents', ce_send)
self.events_prev = self.events.names.copy()
# carParams - logged every 50 seconds (> 1 per segment)
if (self.sm.frame % int(50. / DT_CTRL) == 0):
cp_send = messaging.new_message('carParams')
cp_send.carParams = self.CP
self.pm.send('carParams', cp_send)
# carControl
cc_send = messaging.new_message('carControl')
cc_send.valid = CS.canValid
cc_send.carControl = CC
self.pm.send('carControl', cc_send)
# copy CarControl to pass to CarInterface on the next iteration
self.CC = CC
def step(self):
start_time = sec_since_boot()
self.prof.checkpoint("Ratekeeper", ignore=True)
# Sample data from sockets and get a carState
CS = self.data_sample()
self.prof.checkpoint("Sample")
self.update_events(CS)
if not self.read_only and self.initialized:
# Update control state
self.state_transition(CS)
self.prof.checkpoint("State transition")
# Compute actuators (runs PID loops and lateral MPC)
actuators, lac_log = self.state_control(CS)
self.prof.checkpoint("State Control")
# Publish data
self.publish_logs(CS, start_time, actuators, lac_log)
self.prof.checkpoint("Sent")
self.update_button_timers(CS.buttonEvents)
def controlsd_thread(self):
while True:
self.step()
self.rk.monitor_time()
self.prof.display()
class Controls:
def __init__(self, sm=None, pm=None, can_sock=None):
config_realtime_process(4 if TICI else 3, Priority.CTRL_HIGH)
# Setup sockets
self.pm = pm
if self.pm is None:
self.pm = messaging.PubMaster([
'sendcan', 'controlsState', 'carState', 'carControl',
'carEvents', 'carParams'
])
self.sm = sm
if self.sm is None:
ignore = ['driverCameraState', 'managerState'
] if SIMULATION else None
self.sm = messaging.SubMaster([
'deviceState', 'pandaState', 'modelV2', 'liveCalibration',
'driverMonitoringState', 'longitudinalPlan', 'lateralPlan',
'liveLocationKalman', 'roadCameraState', 'driverCameraState',
'managerState', 'liveParameters', 'radarState'
],
ignore_alive=ignore)
self.can_sock = can_sock
if can_sock is None:
can_timeout = None if os.environ.get('NO_CAN_TIMEOUT',
False) else 100
self.can_sock = messaging.sub_sock('can', timeout=can_timeout)
# wait for one pandaState and one CAN packet
hw_type = messaging.recv_one(
self.sm.sock['pandaState']).pandaState.pandaType
has_relay = hw_type in [
PandaType.blackPanda, PandaType.uno, PandaType.dos
]
print("Waiting for CAN messages...")
get_one_can(self.can_sock)
self.CI, self.CP = get_car(self.can_sock, self.pm.sock['sendcan'],
has_relay)
# read params
params = Params()
self.is_metric = params.get_bool("IsMetric")
self.is_ldw_enabled = params.get_bool("IsLdwEnabled")
self.enable_lte_onroad = params.get_bool("EnableLteOnroad")
community_feature_toggle = params.get_bool("CommunityFeaturesToggle")
openpilot_enabled_toggle = params.get_bool("OpenpilotEnabledToggle")
passive = params.get_bool("Passive") or not openpilot_enabled_toggle
# detect sound card presence and ensure successful init
sounds_available = HARDWARE.get_sound_card_online()
car_recognized = self.CP.carName != 'mock'
# If stock camera is disconnected, we loaded car controls and it's not dashcam mode
controller_available = self.CP.enableCamera and self.CI.CC is not None and not passive and not self.CP.dashcamOnly
community_feature_disallowed = self.CP.communityFeature and not community_feature_toggle
self.read_only = not car_recognized or not controller_available or \
self.CP.dashcamOnly or community_feature_disallowed
if self.read_only:
self.CP.safetyModel = car.CarParams.SafetyModel.noOutput
# Write CarParams for radard and boardd safety mode
cp_bytes = self.CP.to_bytes()
params.put("CarParams", cp_bytes)
put_nonblocking("CarParamsCache", cp_bytes)
self.CC = car.CarControl.new_message()
self.AM = AlertManager()
self.events = Events()
self.LoC = LongControl(self.CP, self.CI.compute_gb)
self.VM = VehicleModel(self.CP)
if self.CP.steerControlType == car.CarParams.SteerControlType.angle:
self.LaC = LatControlAngle(self.CP)
elif self.CP.lateralTuning.which() == 'pid':
self.LaC = LatControlPID(self.CP)
elif self.CP.lateralTuning.which() == 'indi':
self.LaC = LatControlINDI(self.CP)
elif self.CP.lateralTuning.which() == 'lqr':
self.LaC = LatControlLQR(self.CP)
self.state = State.disabled
self.enabled = False
self.active = False
self.can_rcv_error = False
self.soft_disable_timer = 0
self.v_cruise_kph = 255
self.v_cruise_kph_last = 0
self.mismatch_counter = 0
self.can_error_counter = 0
self.last_blinker_frame = 0
self.saturated_count = 0
self.distance_traveled = 0
self.last_functional_fan_frame = 0
self.events_prev = []
self.current_alert_types = [ET.PERMANENT]
self.logged_comm_issue = False
self.angle_steers_des = 0.
self.road_limit_speed = 0
self.road_limit_left_dist = 0
self.v_cruise_kph_limit = 0
self.curve_speed_ms = 255.
self.sm['liveCalibration'].calStatus = Calibration.CALIBRATED
self.sm['deviceState'].freeSpacePercent = 100
self.sm['driverMonitoringState'].events = []
self.sm['driverMonitoringState'].awarenessStatus = 1.
self.sm['driverMonitoringState'].faceDetected = False
self.sm['liveParameters'].valid = True
self.startup_event = get_startup_event(car_recognized,
controller_available, hw_type)
if not sounds_available:
self.events.add(EventName.soundsUnavailable, static=True)
if community_feature_disallowed:
self.events.add(EventName.communityFeatureDisallowed, static=True)
if not car_recognized:
self.events.add(EventName.carUnrecognized, static=True)
# if hw_type == PandaType.greyPanda:
# self.events.add(EventName.startupGreyPanda, static=True)
elif self.read_only:
self.events.add(EventName.dashcamMode, static=True)
# controlsd is driven by can recv, expected at 100Hz
self.rk = Ratekeeper(100, print_delay_threshold=None)
self.prof = Profiler(False) # off by default
def update_events(self, CS):
"""Compute carEvents from carState"""
self.events.clear()
self.events.add_from_msg(CS.events)
self.events.add_from_msg(self.sm['driverMonitoringState'].events)
# Handle startup event
if self.startup_event is not None:
self.events.add(self.startup_event)
self.startup_event = None
# Create events for battery, temperature, disk space, and memory
if self.sm['deviceState'].batteryPercent < 1 and self.sm[
'deviceState'].chargingError:
# at zero percent battery, while discharging, OP should not allowed
self.events.add(EventName.lowBattery)
if self.sm['deviceState'].thermalStatus >= ThermalStatus.red:
self.events.add(EventName.overheat)
if self.sm['deviceState'].freeSpacePercent < 7:
# under 7% of space free no enable allowed
self.events.add(EventName.outOfSpace)
if self.sm['deviceState'].memoryUsagePercent > 90:
self.events.add(EventName.lowMemory)
# Alert if fan isn't spinning for 5 seconds
if self.sm['pandaState'].pandaType in [PandaType.uno, PandaType.dos]:
if self.sm['pandaState'].fanSpeedRpm == 0 and self.sm[
'deviceState'].fanSpeedPercentDesired > 50:
if (self.sm.frame -
self.last_functional_fan_frame) * DT_CTRL > 5.0:
self.events.add(EventName.fanMalfunction)
else:
self.last_functional_fan_frame = self.sm.frame
# Handle calibration status
cal_status = self.sm['liveCalibration'].calStatus
if cal_status != Calibration.CALIBRATED:
if cal_status == Calibration.UNCALIBRATED:
self.events.add(EventName.calibrationIncomplete)
else:
self.events.add(EventName.calibrationInvalid)
# Handle lane change
if self.sm[
'lateralPlan'].laneChangeState == LaneChangeState.preLaneChange:
direction = self.sm['lateralPlan'].laneChangeDirection
if (CS.leftBlindspot and direction == LaneChangeDirection.left) or \
(CS.rightBlindspot and direction == LaneChangeDirection.right):
self.events.add(EventName.laneChangeBlocked)
else:
if direction == LaneChangeDirection.left:
self.events.add(EventName.preLaneChangeLeft)
else:
self.events.add(EventName.preLaneChangeRight)
elif self.sm['lateralPlan'].laneChangeState in [
LaneChangeState.laneChangeStarting,
LaneChangeState.laneChangeFinishing
]:
self.events.add(EventName.laneChange)
if self.can_rcv_error or (not CS.canValid
and self.sm.frame > 5 / DT_CTRL):
self.events.add(EventName.canError)
safety_mismatch = self.sm[
'pandaState'].safetyModel != self.CP.safetyModel
safety_mismatch = safety_mismatch or self.sm[
'pandaState'].safetyParam != self.CP.safetyParam
if (safety_mismatch and
self.sm.frame > 2 / DT_CTRL) or self.mismatch_counter >= 200:
self.events.add(EventName.controlsMismatch)
if not self.sm['liveParameters'].valid:
self.events.add(EventName.vehicleModelInvalid)
if len(self.sm['radarState'].radarErrors):
self.events.add(EventName.radarFault)
#elif not self.sm.all_alive_and_valid():
#self.events.add(EventName.commIssue)
#if not self.logged_comm_issue:
#cloudlog.error(f"commIssue - valid: {self.sm.valid} - alive: {self.sm.alive}")
#self.logged_comm_issue = True
else:
self.logged_comm_issue = False
if not self.sm['lateralPlan'].mpcSolutionValid:
self.events.add(EventName.plannerError)
if not self.sm['liveLocationKalman'].sensorsOK and not NOSENSOR:
if self.sm.frame > 5 / DT_CTRL: # Give locationd some time to receive all the inputs
self.events.add(EventName.sensorDataInvalid)
if not self.sm['liveLocationKalman'].posenetOK:
self.events.add(EventName.posenetInvalid)
if not self.sm['liveLocationKalman'].deviceStable:
self.events.add(EventName.deviceFalling)
if log.PandaState.FaultType.relayMalfunction in self.sm[
'pandaState'].faults:
self.events.add(EventName.relayMalfunction)
if self.sm['longitudinalPlan'].fcw:
self.events.add(EventName.fcw)
# TODO: fix simulator
if not SIMULATION:
#if not NOSENSOR:
#if not self.sm['liveLocationKalman'].gpsOK and (self.distance_traveled > 1000) and \
#(not TICI or self.enable_lte_onroad):
# Not show in first 1 km to allow for driving out of garage. This event shows after 5 minutes
#self.events.add(EventName.noGps)
if not self.sm.all_alive(['roadCameraState', 'driverCameraState'
]) and (self.sm.frame > 5 / DT_CTRL):
self.events.add(EventName.cameraMalfunction)
if self.sm['modelV2'].frameDropPerc > 20:
self.events.add(EventName.modeldLagging)
# Check if all manager processes are running
not_running = set(p.name for p in self.sm['managerState'].processes
if not p.running)
if self.sm.rcv_frame['managerState'] and (not_running -
IGNORE_PROCESSES):
self.events.add(EventName.processNotRunning)
# Only allow engagement with brake pressed when stopped behind another stopped car
if CS.brakePressed and self.sm['longitudinalPlan'].vTargetFuture >= STARTING_TARGET_SPEED \
and self.CP.openpilotLongitudinalControl and CS.vEgo < 0.3:
self.events.add(EventName.noTarget)
def data_sample(self):
"""Receive data from sockets and update carState"""
# Update carState from CAN
can_strs = messaging.drain_sock_raw(self.can_sock, wait_for_one=True)
CS = self.CI.update(self.CC, can_strs)
self.sm.update(0)
# Check for CAN timeout
if not can_strs:
self.can_error_counter += 1
self.can_rcv_error = True
else:
self.can_rcv_error = False
# When the panda and controlsd do not agree on controls_allowed
# we want to disengage openpilot. However the status from the panda goes through
# another socket other than the CAN messages and one can arrive earlier than the other.
# Therefore we allow a mismatch for two samples, then we trigger the disengagement.
if not self.enabled:
self.mismatch_counter = 0
if not self.sm['pandaState'].controlsAllowed and self.enabled:
self.mismatch_counter += 1
self.distance_traveled += CS.vEgo * DT_CTRL
return CS
def cal_curve_speed(self, sm, v_ego, frame):
if frame % 10 == 0:
md = sm['modelV2']
if md is not None and len(
md.position.x) == TRAJECTORY_SIZE and len(
md.position.y) == TRAJECTORY_SIZE:
x = md.position.x
y = md.position.y
dy = np.gradient(y, x)
d2y = np.gradient(dy, x)
curv = d2y / (1 + dy**2)**1.5
curv = curv[5:TRAJECTORY_SIZE - 10]
a_y_max = 2.975 - v_ego * 0.0375 # ~1.85 @ 75mph, ~2.6 @ 25mph
v_curvature = np.sqrt(a_y_max /
np.clip(np.abs(curv), 1e-4, None))
model_speed = np.mean(v_curvature) * 0.9
if model_speed < v_ego:
self.curve_speed_ms = float(
max(model_speed, 32. * CV.KPH_TO_MS))
else:
self.curve_speed_ms = 255.
if np.isnan(self.curve_speed_ms):
self.curve_speed_ms = 255.
else:
self.curve_speed_ms = 255.
return self.curve_speed_ms
def state_transition(self, CS):
"""Compute conditional state transitions and execute actions on state transitions"""
self.v_cruise_kph_last = self.v_cruise_kph
# if stock cruise is completely disabled, then we can use our own set speed logic
if not self.CP.enableCruise:
self.v_cruise_kph = update_v_cruise(self.v_cruise_kph,
CS.buttonEvents, self.enabled)
elif self.CP.enableCruise and CS.cruiseState.enabled:
self.v_cruise_kph = CS.cruiseState.speed * CV.MS_TO_KPH
curv_speed_ms = self.cal_curve_speed(self.sm, CS.vEgo, self.sm.frame)
self.v_cruise_kph = min(self.v_cruise_kph,
curv_speed_ms * CV.MS_TO_KPH)
limit_speed, self.road_limit_speed, self.road_limit_left_dist, first_started, log = road_speed_limiter_get_max_speed(
CS, self.v_cruise_kph)
if limit_speed > 20:
self.v_cruise_kph_limit = min(limit_speed, self.v_cruise_kph)
if limit_speed < CS.vEgo * CV.MS_TO_KPH:
self.events.add(EventName.slowingDownSpeed)
else:
self.v_cruise_kph_limit = self.v_cruise_kph
# decrease the soft disable timer at every step, as it's reset on
# entrance in SOFT_DISABLING state
self.soft_disable_timer = max(0, self.soft_disable_timer - 1)
self.current_alert_types = [ET.PERMANENT]
# ENABLED, PRE ENABLING, SOFT DISABLING
if self.state != State.disabled:
# user and immediate disable always have priority in a non-disabled state
if self.events.any(ET.USER_DISABLE):
self.state = State.disabled
self.current_alert_types.append(ET.USER_DISABLE)
elif self.events.any(ET.IMMEDIATE_DISABLE):
self.state = State.disabled
self.current_alert_types.append(ET.IMMEDIATE_DISABLE)
else:
# ENABLED
if self.state == State.enabled:
if self.events.any(ET.SOFT_DISABLE):
self.state = State.softDisabling
self.soft_disable_timer = 300 # 3s
self.current_alert_types.append(ET.SOFT_DISABLE)
# SOFT DISABLING
elif self.state == State.softDisabling:
if not self.events.any(ET.SOFT_DISABLE):
# no more soft disabling condition, so go back to ENABLED
self.state = State.enabled
elif self.events.any(
ET.SOFT_DISABLE) and self.soft_disable_timer > 0:
self.current_alert_types.append(ET.SOFT_DISABLE)
elif self.soft_disable_timer <= 0:
self.state = State.disabled
# PRE ENABLING
elif self.state == State.preEnabled:
if not self.events.any(ET.PRE_ENABLE):
self.state = State.enabled
else:
self.current_alert_types.append(ET.PRE_ENABLE)
# DISABLED
elif self.state == State.disabled:
if self.events.any(ET.ENABLE):
if self.events.any(ET.NO_ENTRY):
self.current_alert_types.append(ET.NO_ENTRY)
else:
if self.events.any(ET.PRE_ENABLE):
self.state = State.preEnabled
else:
self.state = State.enabled
self.current_alert_types.append(ET.ENABLE)
self.v_cruise_kph = initialize_v_cruise(
CS.vEgo, CS.buttonEvents, self.v_cruise_kph_last)
# Check if actuators are enabled
self.active = self.state == State.enabled or self.state == State.softDisabling
if self.active:
self.current_alert_types.append(ET.WARNING)
# Check if openpilot is engaged
self.enabled = self.active or self.state == State.preEnabled
def state_control(self, CS):
"""Given the state, this function returns an actuators packet"""
# Neokii's live tune
# Update VehicleModel
params = self.sm['liveParameters']
x = max(params.stiffnessFactor, 0.1)
#sr = max(params.steerRatio, 0.1)
if ntune_isEnabled('useLiveSteerRatio'):
sr = max(self.sm['liveParameters'].steerRatio, 0.1)
else:
if self.CP.carName in [CAR.VOLT]:
sr = interp(abs(self.angle_steers_des), [5., 35.],
[13.5, 17.7])
else:
sr = max(ntune_get('steerRatio'), 0.1)
self.VM.update_params(x, sr)
lat_plan = self.sm['lateralPlan']
long_plan = self.sm['longitudinalPlan']
actuators = car.CarControl.Actuators.new_message()
if CS.leftBlinker or CS.rightBlinker:
self.last_blinker_frame = self.sm.frame
# State specific actions
if not self.active:
self.LaC.reset()
self.LoC.reset(v_pid=CS.vEgo)
long_plan_age = DT_CTRL * (self.sm.frame -
self.sm.rcv_frame['longitudinalPlan'])
# no greater than dt mpc + dt, to prevent too high extraps
dt = min(long_plan_age, LON_MPC_STEP + DT_CTRL) + DT_CTRL
a_acc_sol = long_plan.aStart + (dt / LON_MPC_STEP) * (
long_plan.aTarget - long_plan.aStart)
v_acc_sol = long_plan.vStart + dt * (a_acc_sol +
long_plan.aStart) / 2.0
# Gas/Brake PID loop
actuators.gas, actuators.brake = self.LoC.update(
self.active, CS, v_acc_sol, long_plan.vTargetFuture, a_acc_sol,
self.CP)
# Steering PID loop and lateral MPC
actuators.steer, actuators.steeringAngleDeg, lac_log = self.LaC.update(
self.active, CS, self.CP, self.VM, params, lat_plan)
# Check for difference between desired angle and angle for angle based control
angle_control_saturated = self.CP.steerControlType == car.CarParams.SteerControlType.angle and \
abs(actuators.steeringAngleDeg - CS.steeringAngleDeg) > STEER_ANGLE_SATURATION_THRESHOLD
if angle_control_saturated and not CS.steeringPressed and self.active:
self.saturated_count += 1
else:
self.saturated_count = 0
# Send a "steering required alert" if saturation count has reached the limit
if (lac_log.saturated and not CS.steeringPressed) or \
(self.saturated_count > STEER_ANGLE_SATURATION_TIMEOUT):
if len(lat_plan.dPathPoints):
# Check if we deviated from the path
left_deviation = actuators.steer > 0 and lat_plan.dPathPoints[
0] < -0.1
right_deviation = actuators.steer < 0 and lat_plan.dPathPoints[
0] > 0.1
# Bellow 2Lines' notations are for disable Alerts
# if left_deviation or right_deviation:
# self.events.add(EventName.steerSaturated)
return actuators, v_acc_sol, a_acc_sol, lac_log
def publish_logs(self, CS, start_time, actuators, v_acc, a_acc, lac_log):
"""Send actuators and hud commands to the car, send controlsstate and MPC logging"""
CC = car.CarControl.new_message()
CC.enabled = self.enabled
CC.actuators = actuators
CC.cruiseControl.override = True
CC.cruiseControl.cancel = not self.CP.enableCruise or (
not self.enabled and CS.cruiseState.enabled)
# Some override values for Honda
# brake discount removes a sharp nonlinearity
brake_discount = (1.0 - clip(actuators.brake * 3., 0.0, 1.0))
speed_override = max(0.0,
(self.LoC.v_pid + CS.cruiseState.speedOffset) *
brake_discount)
CC.cruiseControl.speedOverride = float(
speed_override if self.CP.enableCruise else 0.0)
CC.cruiseControl.accelOverride = self.CI.calc_accel_override(
CS.aEgo, self.sm['longitudinalPlan'].aTarget, CS.vEgo,
self.sm['longitudinalPlan'].vTarget)
CC.hudControl.setSpeed = float(self.v_cruise_kph_limit * CV.KPH_TO_MS)
CC.hudControl.speedVisible = self.enabled
CC.hudControl.lanesVisible = self.enabled
CC.hudControl.leadVisible = self.sm['longitudinalPlan'].hasLead
right_lane_visible = self.sm['lateralPlan'].rProb > 0.5
left_lane_visible = self.sm['lateralPlan'].lProb > 0.5
CC.hudControl.rightLaneVisible = bool(right_lane_visible)
CC.hudControl.leftLaneVisible = bool(left_lane_visible)
recent_blinker = (self.sm.frame - self.last_blinker_frame
) * DT_CTRL < 5.0 # 5s blinker cooldown
ldw_allowed = self.is_ldw_enabled and CS.vEgo > LDW_MIN_SPEED and not recent_blinker \
and not self.active and self.sm['liveCalibration'].calStatus == Calibration.CALIBRATED
meta = self.sm['modelV2'].meta
if len(meta.desirePrediction) and ldw_allowed:
l_lane_change_prob = meta.desirePrediction[Desire.laneChangeLeft -
1]
r_lane_change_prob = meta.desirePrediction[Desire.laneChangeRight -
1]
cameraOffset = ntune_get("cameraOffset")
l_lane_close = left_lane_visible and (
self.sm['modelV2'].laneLines[1].y[0] > -(1.08 + cameraOffset))
r_lane_close = right_lane_visible and (
self.sm['modelV2'].laneLines[2].y[0] < (1.08 - cameraOffset))
CC.hudControl.leftLaneDepart = bool(
l_lane_change_prob > LANE_DEPARTURE_THRESHOLD and l_lane_close)
CC.hudControl.rightLaneDepart = bool(
r_lane_change_prob > LANE_DEPARTURE_THRESHOLD and r_lane_close)
if CC.hudControl.rightLaneDepart or CC.hudControl.leftLaneDepart:
self.events.add(EventName.ldw)
clear_event = ET.WARNING if ET.WARNING not in self.current_alert_types else None
alerts = self.events.create_alerts(self.current_alert_types,
[self.CP, self.sm, self.is_metric])
self.AM.add_many(self.sm.frame, alerts, self.enabled)
self.AM.process_alerts(self.sm.frame, clear_event)
CC.hudControl.visualAlert = self.AM.visual_alert
if not self.read_only:
# send car controls over can
can_sends = self.CI.apply(CC)
self.pm.send(
'sendcan',
can_list_to_can_capnp(can_sends,
msgtype='sendcan',
valid=CS.canValid))
force_decel = (self.sm['driverMonitoringState'].awarenessStatus < 0.) or \
(self.state == State.softDisabling)
# Curvature & Steering angle
params = self.sm['liveParameters']
lat_plan = self.sm['lateralPlan']
steer_angle_without_offset = math.radians(CS.steeringAngleDeg -
params.angleOffsetAverageDeg)
curvature = -self.VM.calc_curvature(steer_angle_without_offset,
CS.vEgo)
self.angle_steers_des = math.degrees(
self.VM.get_steer_from_curvature(-lat_plan.curvature, CS.vEgo))
self.angle_steers_des += params.angleOffsetDeg
# controlsState
dat = messaging.new_message('controlsState')
dat.valid = CS.canValid
controlsState = dat.controlsState
controlsState.alertText1 = self.AM.alert_text_1
controlsState.alertText2 = self.AM.alert_text_2
controlsState.alertSize = self.AM.alert_size
controlsState.alertStatus = self.AM.alert_status
controlsState.alertBlinkingRate = self.AM.alert_rate
controlsState.alertType = self.AM.alert_type
controlsState.alertSound = self.AM.audible_alert
controlsState.canMonoTimes = list(CS.canMonoTimes)
controlsState.longitudinalPlanMonoTime = self.sm.logMonoTime[
'longitudinalPlan']
controlsState.lateralPlanMonoTime = self.sm.logMonoTime['lateralPlan']
controlsState.enabled = self.enabled
controlsState.active = self.active
# bellow 3Lines are for Wheel Rotation
controlsState.vEgo = CS.vEgo
controlsState.vEgoRaw = CS.vEgoRaw
controlsState.steerOverride = CS.steeringPressed
# controlsState.angleSteers = CS.steeringAngleDeg
controlsState.curvature = curvature
controlsState.steeringAngleDesiredDeg = self.angle_steers_des
controlsState.state = self.state
controlsState.engageable = not self.events.any(ET.NO_ENTRY)
controlsState.longControlState = self.LoC.long_control_state
controlsState.vPid = float(self.LoC.v_pid)
controlsState.vCruise = float(self.v_cruise_kph_limit)
controlsState.upAccelCmd = float(self.LoC.pid.p)
controlsState.uiAccelCmd = float(self.LoC.pid.i)
controlsState.ufAccelCmd = float(self.LoC.pid.f)
controlsState.vTargetLead = float(v_acc)
controlsState.aTarget = float(a_acc)
controlsState.cumLagMs = -self.rk.remaining * 1000.
controlsState.startMonoTime = int(start_time * 1e9)
controlsState.forceDecel = bool(force_decel)
controlsState.canErrorCounter = self.can_error_counter
controlsState.angleSteers = steer_angle_without_offset * CV.RAD_TO_DEG
controlsState.roadLimitSpeed = self.road_limit_speed
controlsState.roadLimitSpeedLeftDist = self.road_limit_left_dist
# display SR/SRC/SAD on Ui
controlsState.steerRatio = self.VM.sR
controlsState.steerRateCost = ntune_get('steerRateCost')
controlsState.steerActuatorDelay = ntune_get('steerActuatorDelay')
if self.CP.steerControlType == car.CarParams.SteerControlType.angle:
controlsState.lateralControlState.angleState = lac_log
elif self.CP.lateralTuning.which() == 'pid':
controlsState.lateralControlState.pidState = lac_log
elif self.CP.lateralTuning.which() == 'lqr':
controlsState.lateralControlState.lqrState = lac_log
elif self.CP.lateralTuning.which() == 'indi':
controlsState.lateralControlState.indiState = lac_log
self.pm.send('controlsState', dat)
# carState
car_events = self.events.to_msg()
cs_send = messaging.new_message('carState')
cs_send.valid = CS.canValid
cs_send.carState = CS
cs_send.carState.events = car_events
self.pm.send('carState', cs_send)
# carEvents - logged every second or on change
if (self.sm.frame % int(1. / DT_CTRL)
== 0) or (self.events.names != self.events_prev):
ce_send = messaging.new_message('carEvents', len(self.events))
ce_send.carEvents = car_events
self.pm.send('carEvents', ce_send)
self.events_prev = self.events.names.copy()
# carParams - logged every 50 seconds (> 1 per segment)
if (self.sm.frame % int(50. / DT_CTRL) == 0):
cp_send = messaging.new_message('carParams')
cp_send.carParams = self.CP
self.pm.send('carParams', cp_send)
# carControl
cc_send = messaging.new_message('carControl')
cc_send.valid = CS.canValid
cc_send.carControl = CC
self.pm.send('carControl', cc_send)
# copy CarControl to pass to CarInterface on the next iteration
self.CC = CC
def step(self):
start_time = sec_since_boot()
self.prof.checkpoint("Ratekeeper", ignore=True)
# Sample data from sockets and get a carState
CS = self.data_sample()
self.prof.checkpoint("Sample")
self.update_events(CS)
if not self.read_only:
# Update control state
self.state_transition(CS)
self.prof.checkpoint("State transition")
# Compute actuators (runs PID loops and lateral MPC)
actuators, v_acc, a_acc, lac_log = self.state_control(CS)
self.prof.checkpoint("State Control")
# Publish data
self.publish_logs(CS, start_time, actuators, v_acc, a_acc, lac_log)
self.prof.checkpoint("Sent")
def controlsd_thread(self):
while True:
self.step()
self.rk.monitor_time()
self.prof.display()
def controlsd_thread(sm=None, pm=None, can_sock=None):
gc.disable()
# start the loop
set_realtime_priority(3)
params = Params()
is_metric = params.get("IsMetric", encoding='utf8') == "1"
is_ldw_enabled = params.get("IsLdwEnabled", encoding='utf8') == "1"
passive = params.get("Passive", encoding='utf8') == "1"
openpilot_enabled_toggle = params.get("OpenpilotEnabledToggle",
encoding='utf8') == "1"
community_feature_toggle = params.get("CommunityFeaturesToggle",
encoding='utf8') == "1"
passive = passive or not openpilot_enabled_toggle
# Passive if internet needed
internet_needed = params.get("Offroad_ConnectivityNeeded",
encoding='utf8') is not None
passive = passive or internet_needed
# Pub/Sub Sockets
if pm is None:
pm = messaging.PubMaster([
'sendcan', 'controlsState', 'carState', 'carControl', 'carEvents',
'carParams'
])
if sm is None:
sm = messaging.SubMaster(['thermal', 'health', 'liveCalibration', 'dMonitoringState', 'plan', 'pathPlan', \
'model'])
if can_sock is None:
can_timeout = None if os.environ.get('NO_CAN_TIMEOUT', False) else 100
can_sock = messaging.sub_sock('can', timeout=can_timeout)
# wait for health and CAN packets
hw_type = messaging.recv_one(sm.sock['health']).health.hwType
has_relay = hw_type in [HwType.blackPanda, HwType.uno]
print("Waiting for CAN messages...")
messaging.get_one_can(can_sock)
CI, CP = get_car(can_sock, pm.sock['sendcan'], has_relay)
car_recognized = CP.carName != 'mock'
# If stock camera is disconnected, we loaded car controls and it's not chffrplus
controller_available = CP.enableCamera and CI.CC is not None and not passive
community_feature_disallowed = CP.communityFeature and not community_feature_toggle
read_only = not car_recognized or not controller_available or CP.dashcamOnly or community_feature_disallowed
if read_only:
CP.safetyModel = car.CarParams.SafetyModel.noOutput
# Write CarParams for radard and boardd safety mode
cp_bytes = CP.to_bytes()
params.put("CarParams", cp_bytes)
put_nonblocking("CarParamsCache", cp_bytes)
put_nonblocking("LongitudinalControl",
"1" if CP.openpilotLongitudinalControl else "0")
CC = car.CarControl.new_message()
AM = AlertManager()
startup_alert = get_startup_alert(car_recognized, controller_available)
AM.add(sm.frame, startup_alert, False)
LoC = LongControl(CP, CI.compute_gb)
VM = VehicleModel(CP)
if CP.lateralTuning.which() == 'pid':
LaC = LatControlPID(CP)
elif CP.lateralTuning.which() == 'indi':
LaC = LatControlINDI(CP)
elif CP.lateralTuning.which() == 'lqr':
LaC = LatControlLQR(CP)
state = State.disabled
soft_disable_timer = 0
v_cruise_kph = 255
v_cruise_kph_last = 0
mismatch_counter = 0
can_error_counter = 0
last_blinker_frame = 0
saturated_count = 0
events_prev = []
sm['liveCalibration'].calStatus = Calibration.INVALID
sm['pathPlan'].sensorValid = True
sm['pathPlan'].posenetValid = True
sm['thermal'].freeSpace = 1.
sm['dMonitoringState'].events = []
sm['dMonitoringState'].awarenessStatus = 1.
sm['dMonitoringState'].faceDetected = False
# detect sound card presence
sounds_available = not os.path.isfile('/EON') or (
os.path.isdir('/proc/asound/card0')
and open('/proc/asound/card0/state').read().strip() == 'ONLINE')
# controlsd is driven by can recv, expected at 100Hz
rk = Ratekeeper(100, print_delay_threshold=None)
prof = Profiler(False) # off by default
while True:
start_time = sec_since_boot()
prof.checkpoint("Ratekeeper", ignore=True)
# Sample data and compute car events
CS, events, cal_perc, mismatch_counter, can_error_counter = data_sample(
CI, CC, sm, can_sock, state, mismatch_counter, can_error_counter,
params)
prof.checkpoint("Sample")
# Create alerts
if not sm.alive['plan'] and sm.alive[
'pathPlan']: # only plan not being received: radar not communicating
events.append(
create_event('radarCommIssue', [ET.NO_ENTRY, ET.SOFT_DISABLE]))
elif not sm.all_alive_and_valid():
events.append(
create_event('commIssue', [ET.NO_ENTRY, ET.SOFT_DISABLE]))
if not sm['pathPlan'].mpcSolutionValid:
events.append(
create_event('plannerError',
[ET.NO_ENTRY, ET.IMMEDIATE_DISABLE]))
if not sm['pathPlan'].sensorValid and os.getenv("NOSENSOR") is None:
events.append(
create_event('sensorDataInvalid', [ET.NO_ENTRY, ET.PERMANENT]))
if not sm['pathPlan'].paramsValid:
events.append(create_event('vehicleModelInvalid', [ET.WARNING]))
if not sm['pathPlan'].posenetValid:
events.append(
create_event('posenetInvalid', [ET.NO_ENTRY, ET.WARNING]))
if not sm['plan'].radarValid:
events.append(
create_event('radarFault', [ET.NO_ENTRY, ET.SOFT_DISABLE]))
if sm['plan'].radarCanError:
events.append(
create_event('radarCanError', [ET.NO_ENTRY, ET.SOFT_DISABLE]))
if not CS.canValid:
events.append(
create_event('canError', [ET.NO_ENTRY, ET.IMMEDIATE_DISABLE]))
if not sounds_available:
events.append(
create_event('soundsUnavailable', [ET.NO_ENTRY, ET.PERMANENT]))
if internet_needed:
events.append(
create_event('internetConnectivityNeeded',
[ET.NO_ENTRY, ET.PERMANENT]))
if community_feature_disallowed:
events.append(
create_event('communityFeatureDisallowed', [ET.PERMANENT]))
if read_only and not passive:
events.append(create_event('carUnrecognized', [ET.PERMANENT]))
if log.HealthData.FaultType.relayMalfunction in sm['health'].faults:
events.append(
create_event(
'relayMalfunction',
[ET.NO_ENTRY, ET.PERMANENT, ET.IMMEDIATE_DISABLE]))
# Only allow engagement with brake pressed when stopped behind another stopped car
if CS.brakePressed and sm[
'plan'].vTargetFuture >= STARTING_TARGET_SPEED and not CP.radarOffCan and CS.vEgo < 0.3:
events.append(
create_event('noTarget', [ET.NO_ENTRY, ET.IMMEDIATE_DISABLE]))
if not read_only:
# update control state
state, soft_disable_timer, v_cruise_kph, v_cruise_kph_last = \
state_transition(sm.frame, CS, CP, state, events, soft_disable_timer, v_cruise_kph, AM)
prof.checkpoint("State transition")
# Compute actuators (runs PID loops and lateral MPC)
actuators, v_cruise_kph, v_acc, a_acc, lac_log, last_blinker_frame, saturated_count = \
state_control(sm.frame, sm.rcv_frame, sm['plan'], sm['pathPlan'], CS, CP, state, events, v_cruise_kph, v_cruise_kph_last, AM, rk,
LaC, LoC, read_only, is_metric, cal_perc, last_blinker_frame, saturated_count)
prof.checkpoint("State Control")
# Publish data
CC, events_prev = data_send(sm, pm, CS, CI, CP, VM, state, events,
actuators, v_cruise_kph, rk, AM, LaC, LoC,
read_only, start_time, v_acc, a_acc,
lac_log, events_prev, last_blinker_frame,
is_ldw_enabled, can_error_counter)
prof.checkpoint("Sent")
rk.monitor_time()
prof.display()
class Controls:
def __init__(self, sm=None, pm=None, can_sock=None):
config_realtime_process(4 if TICI else 3, Priority.CTRL_HIGH)
# Setup sockets
self.pm = pm
if self.pm is None:
self.pm = messaging.PubMaster(['sendcan', 'controlsState', 'carState',
'carControl', 'carEvents', 'carParams'])
self.sm = sm
if self.sm is None:
ignore = ['driverCameraState', 'managerState'] if SIMULATION else None
self.sm = messaging.SubMaster(['deviceState', 'pandaState', 'modelV2', 'liveCalibration',
'driverMonitoringState', 'longitudinalPlan', 'lateralPlan', 'liveLocationKalman',
'roadCameraState', 'driverCameraState', 'managerState', 'liveParameters', 'radarState'],
ignore_alive=ignore, ignore_avg_freq=['radarState', 'longitudinalPlan'])
self.can_sock = can_sock
if can_sock is None:
can_timeout = None if os.environ.get('NO_CAN_TIMEOUT', False) else 100
self.can_sock = messaging.sub_sock('can', timeout=can_timeout)
# wait for one pandaState and one CAN packet
print("Waiting for CAN messages...")
get_one_can(self.can_sock)
self.CI, self.CP = get_car(self.can_sock, self.pm.sock['sendcan'])
# read params
params = Params()
self.is_metric = params.get_bool("IsMetric")
self.is_ldw_enabled = params.get_bool("IsLdwEnabled")
self.enable_lte_onroad = params.get_bool("EnableLteOnroad")
community_feature_toggle = params.get_bool("CommunityFeaturesToggle")
openpilot_enabled_toggle = params.get_bool("OpenpilotEnabledToggle")
passive = params.get_bool("Passive") or not openpilot_enabled_toggle
self.commIssue_ignored = params.get_bool("ComIssueGone")
self.auto_enabled = params.get_bool("AutoEnable") and params.get_bool("MadModeEnabled")
# detect sound card presence and ensure successful init
sounds_available = HARDWARE.get_sound_card_online()
car_recognized = self.CP.carName != 'mock'
fuzzy_fingerprint = self.CP.fuzzyFingerprint
# If stock camera is disconnected, we loaded car controls and it's not dashcam mode
controller_available = self.CP.enableCamera and self.CI.CC is not None and not passive and not self.CP.dashcamOnly
community_feature = self.CP.communityFeature or fuzzy_fingerprint
community_feature_disallowed = community_feature and (not community_feature_toggle)
self.read_only = not car_recognized or not controller_available or \
self.CP.dashcamOnly or community_feature_disallowed
if self.read_only:
self.CP.safetyModel = car.CarParams.SafetyModel.noOutput
# Write CarParams for radard
cp_bytes = self.CP.to_bytes()
params.put("CarParams", cp_bytes)
put_nonblocking("CarParamsCache", cp_bytes)
self.CC = car.CarControl.new_message()
self.AM = AlertManager()
self.events = Events()
self.LoC = LongControl(self.CP, self.CI.compute_gb)
self.VM = VehicleModel(self.CP)
self.lateral_control_method = 0
if self.CP.steerControlType == car.CarParams.SteerControlType.angle:
self.LaC = LatControlAngle(self.CP)
self.lateral_control_method = 3
elif self.CP.lateralTuning.which() == 'pid':
self.LaC = LatControlPID(self.CP)
self.lateral_control_method = 0
elif self.CP.lateralTuning.which() == 'indi':
self.LaC = LatControlINDI(self.CP)
self.lateral_control_method = 1
elif self.CP.lateralTuning.which() == 'lqr':
self.LaC = LatControlLQR(self.CP)
self.lateral_control_method = 2
self.long_plan_source = 0
self.controlsAllowed = False
self.initialized = False
self.state = State.disabled
self.enabled = False
self.active = False
self.can_rcv_error = False
self.soft_disable_timer = 0
self.v_cruise_kph = 255
self.v_cruise_kph_last = 0
self.mismatch_counter = 0
self.can_error_counter = 0
self.last_blinker_frame = 0
self.saturated_count = 0
self.distance_traveled = 0
self.last_functional_fan_frame = 0
self.events_prev = []
self.current_alert_types = [ET.PERMANENT]
self.logged_comm_issue = False
# TODO: no longer necessary, aside from process replay
self.sm['liveParameters'].valid = True
self.startup_event = get_startup_event(car_recognized, controller_available, fuzzy_fingerprint)
if not sounds_available:
self.events.add(EventName.soundsUnavailable, static=True)
if community_feature_disallowed:
self.events.add(EventName.communityFeatureDisallowed, static=True)
if not car_recognized:
self.events.add(EventName.carUnrecognized, static=True)
#elif self.read_only:
# self.events.add(EventName.dashcamMode, static=True)
# controlsd is driven by can recv, expected at 100Hz
self.rk = Ratekeeper(100, print_delay_threshold=None)
self.prof = Profiler(False) # off by default
self.hyundai_lkas = self.read_only #read_only
self.mpc_frame = 0
self.steerRatio_Max = float(int(Params().get("SteerRatioMaxAdj")) * 0.1)
self.angle_differ_range = [0, 15]
self.steerRatio_range = [self.CP.steerRatio, self.steerRatio_Max]
self.new_steerRatio = self.CP.steerRatio
self.new_steerRatio_prev = self.CP.steerRatio
self.steerRatio_to_send = 0
self.model_long_alert_prev = True
self.delayed_comm_issue_timer = 0
def auto_enable(self, CS):
if self.state != State.enabled and CS.vEgo >= 3 * CV.KPH_TO_MS and CS.gearShifter == 2 and self.sm['liveCalibration'].calStatus != Calibration.UNCALIBRATED:
if self.sm.all_alive_and_valid() and self.enabled != self.controlsAllowed:
self.events.add( EventName.pcmEnable )
def update_events(self, CS):
"""Compute carEvents from carState"""
self.events.clear()
self.events.add_from_msg(CS.events)
self.events.add_from_msg(self.sm['driverMonitoringState'].events)
# Handle startup event
if self.startup_event is not None:
self.events.add(self.startup_event)
self.startup_event = None
# Don't add any more events if not initialized
if not self.initialized:
self.events.add(EventName.controlsInitializing)
return
# Create events for battery, temperature, disk space, and memory
if self.sm['deviceState'].batteryPercent < 1 and self.sm['deviceState'].chargingError:
# at zero percent battery, while discharging, OP should not allowed
self.events.add(EventName.lowBattery)
if self.sm['deviceState'].thermalStatus >= ThermalStatus.red:
self.events.add(EventName.overheat)
if self.sm['deviceState'].freeSpacePercent < 7:
# under 7% of space free no enable allowed
self.events.add(EventName.outOfSpace)
if self.sm['deviceState'].memoryUsagePercent > 90:
self.events.add(EventName.lowMemory)
# Alert if fan isn't spinning for 5 seconds
if self.sm['pandaState'].pandaType in [PandaType.uno, PandaType.dos]:
if self.sm['pandaState'].fanSpeedRpm == 0 and self.sm['deviceState'].fanSpeedPercentDesired > 50:
if (self.sm.frame - self.last_functional_fan_frame) * DT_CTRL > 5.0:
self.events.add(EventName.fanMalfunction)
else:
self.last_functional_fan_frame = self.sm.frame
# Handle calibration status
cal_status = self.sm['liveCalibration'].calStatus
if cal_status != Calibration.CALIBRATED:
if cal_status == Calibration.UNCALIBRATED:
self.events.add(EventName.calibrationIncomplete)
else:
self.events.add(EventName.calibrationInvalid)
# Handle lane change
if self.sm['lateralPlan'].laneChangeState == LaneChangeState.preLaneChange:
direction = self.sm['lateralPlan'].laneChangeDirection
if (CS.leftBlindspot and direction == LaneChangeDirection.left) or \
(CS.rightBlindspot and direction == LaneChangeDirection.right):
self.events.add(EventName.laneChangeBlocked)
else:
if direction == LaneChangeDirection.left:
self.events.add(EventName.preLaneChangeLeft)
else:
self.events.add(EventName.preLaneChangeRight)
elif self.sm['lateralPlan'].laneChangeState in [LaneChangeState.laneChangeStarting,
LaneChangeState.laneChangeFinishing]:
self.events.add(EventName.laneChange)
if self.can_rcv_error or not CS.canValid:
self.events.add(EventName.canError)
safety_mismatch = self.sm['pandaState'].safetyModel != self.CP.safetyModel or self.sm['pandaState'].safetyParam != self.CP.safetyParam
if safety_mismatch or self.mismatch_counter >= 200:
self.events.add(EventName.controlsMismatch)
if not self.sm['liveParameters'].valid:
self.events.add(EventName.vehicleModelInvalid)
if len(self.sm['radarState'].radarErrors):
self.events.add(EventName.radarFault)
elif not self.sm.all_alive_and_valid() and self.sm['pandaState'].pandaType != PandaType.whitePanda and not self.commIssue_ignored:
self.delayed_comm_issue_timer += 1
if self.delayed_comm_issue_timer > 100:
self.events.add(EventName.commIssue)
if not self.logged_comm_issue:
cloudlog.error(f"commIssue - valid: {self.sm.valid} - alive: {self.sm.alive}")
self.logged_comm_issue = True
else:
self.logged_comm_issue = False
self.delayed_comm_issue_timer = 0
if not self.sm['lateralPlan'].mpcSolutionValid and not (EventName.laneChangeManual in self.events.names) and CS.steeringAngleDeg < 15:
self.events.add(EventName.plannerError)
if not self.sm['liveLocationKalman'].sensorsOK and not NOSENSOR:
if self.sm.frame > 5 / DT_CTRL: # Give locationd some time to receive all the inputs
self.events.add(EventName.sensorDataInvalid)
if not self.sm['liveLocationKalman'].posenetOK:
self.events.add(EventName.posenetInvalid)
if not self.sm['liveLocationKalman'].deviceStable:
self.events.add(EventName.deviceFalling)
if log.PandaState.FaultType.relayMalfunction in self.sm['pandaState'].faults:
self.events.add(EventName.relayMalfunction)
if self.sm['longitudinalPlan'].fcw:
self.events.add(EventName.fcw)
# TODO: fix simulator
if not SIMULATION:
#if not NOSENSOR:
# if not self.sm['liveLocationKalman'].gpsOK and (self.distance_traveled > 1000) and \
# (not TICI or self.enable_lte_onroad):
# # Not show in first 1 km to allow for driving out of garage. This event shows after 5 minutes
# self.events.add(EventName.noGps)
if not self.sm.all_alive(['roadCameraState', 'driverCameraState']):
self.events.add(EventName.cameraMalfunction)
if self.sm['modelV2'].frameDropPerc > 20:
self.events.add(EventName.modeldLagging)
# Check if all manager processes are running
not_running = set(p.name for p in self.sm['managerState'].processes if not p.running)
if self.sm.rcv_frame['managerState'] and (not_running - IGNORE_PROCESSES):
self.events.add(EventName.processNotRunning)
# Only allow engagement with brake pressed when stopped behind another stopped car
#if CS.brakePressed and self.sm['longitudinalPlan'].vTargetFuture >= STARTING_TARGET_SPEED \
# and self.CP.openpilotLongitudinalControl and CS.vEgo < 0.3:
# self.events.add(EventName.noTarget)
# ModelLongAlert
if Params().get_bool("ModelLongEnabled") and self.model_long_alert_prev:
self.events.add(EventName.modelLongAlert)
self.model_long_alert_prev = not self.model_long_alert_prev
elif not Params().get_bool("ModelLongEnabled"):
self.model_long_alert_prev = True
# atom
if self.auto_enabled:
self.auto_enable( CS )
def data_sample(self):
"""Receive data from sockets and update carState"""
# Update carState from CAN
can_strs = messaging.drain_sock_raw(self.can_sock, wait_for_one=True)
CS = self.CI.update(self.CC, can_strs)
self.sm.update(0)
all_valid = CS.canValid and self.sm.all_alive_and_valid()
if not self.initialized and (all_valid or self.sm.frame * DT_CTRL > 2.0):
self.initialized = True
Params().put_bool("ControlsReady", True)
# Check for CAN timeout
if not can_strs:
self.can_error_counter += 1
self.can_rcv_error = True
else:
self.can_rcv_error = False
# When the panda and controlsd do not agree on controls_allowed
# we want to disengage openpilot. However the status from the panda goes through
# another socket other than the CAN messages and one can arrive earlier than the other.
# Therefore we allow a mismatch for two samples, then we trigger the disengagement.
self.controlsAllowed = self.sm['pandaState'].controlsAllowed
if not self.enabled:
self.mismatch_counter = 0
elif not self.controlsAllowed and self.enabled:
self.mismatch_counter += 1
self.distance_traveled += CS.vEgo * DT_CTRL
return CS
def state_transition(self, CS):
"""Compute conditional state transitions and execute actions on state transitions"""
# if stock cruise is completely disabled, then we can use our own set speed logic
# self.CP.enableCruise is true
self.CP.enableCruise = self.CI.CP.enableCruise
if not self.CP.enableCruise:
self.v_cruise_kph = update_v_cruise(self.v_cruise_kph, CS.buttonEvents, self.enabled)
if int(CS.vSetDis)-1 > self.v_cruise_kph:
self.v_cruise_kph = int(CS.vSetDis)
elif self.CP.enableCruise and CS.cruiseState.enabled:
if Params().get_bool('OpkrVariableCruise') and CS.cruiseState.modeSel != 0 and self.CP.vCruisekph > 30:
self.v_cruise_kph = self.CP.vCruisekph
self.v_cruise_kph_last = self.v_cruise_kph
elif CS.cruiseButtons == Buttons.RES_ACCEL and Params().get_bool('OpkrVariableCruise') and CS.cruiseState.modeSel != 0 and CS.vSetDis < (self.v_cruise_kph_last - 1):
self.v_cruise_kph = self.v_cruise_kph_last
if int(CS.vSetDis)-1 > self.v_cruise_kph:
self.v_cruise_kph = int(CS.vSetDis)
elif CS.cruiseButtons == Buttons.RES_ACCEL and Params().get_bool('OpkrVariableCruise') and CS.cruiseState.modeSel != 0 and 30 <= self.v_cruise_kph_last <= round(CS.vEgo*CV.MS_TO_KPH):
self.v_cruise_kph = round(CS.vEgo*CV.MS_TO_KPH)
if int(CS.vSetDis)-1 > self.v_cruise_kph:
self.v_cruise_kph = int(CS.vSetDis)
self.v_cruise_kph_last = self.v_cruise_kph
elif CS.cruiseButtons == Buttons.RES_ACCEL or CS.cruiseButtons == Buttons.SET_DECEL:
self.v_cruise_kph = round(CS.cruiseState.speed * CV.MS_TO_KPH)
self.v_cruise_kph_last = self.v_cruise_kph
elif CS.driverAcc and Params().get_bool('OpkrVariableCruise') and Params().get_bool('CruiseOverMaxSpeed') and 30 <= self.v_cruise_kph < int(round(CS.vEgo*CV.MS_TO_KPH)):
self.v_cruise_kph = int(round(CS.vEgo*CV.MS_TO_KPH))
self.v_cruise_kph_last = self.v_cruise_kph
# decrease the soft disable timer at every step, as it's reset on
# entrance in SOFT_DISABLING state
self.soft_disable_timer = max(0, self.soft_disable_timer - 1)
self.current_alert_types = [ET.PERMANENT]
# ENABLED, PRE ENABLING, SOFT DISABLING
if self.state != State.disabled:
# user and immediate disable always have priority in a non-disabled state
if self.events.any(ET.USER_DISABLE):
self.state = State.disabled
self.current_alert_types.append(ET.USER_DISABLE)
elif self.events.any(ET.IMMEDIATE_DISABLE):
self.state = State.disabled
self.current_alert_types.append(ET.IMMEDIATE_DISABLE)
else:
# ENABLED
if self.state == State.enabled:
if self.events.any(ET.SOFT_DISABLE):
self.state = State.softDisabling
self.soft_disable_timer = 300 # 3s
self.current_alert_types.append(ET.SOFT_DISABLE)
# SOFT DISABLING
elif self.state == State.softDisabling:
if not self.events.any(ET.SOFT_DISABLE):
# no more soft disabling condition, so go back to ENABLED
self.state = State.enabled
elif self.events.any(ET.SOFT_DISABLE) and self.soft_disable_timer > 0:
self.current_alert_types.append(ET.SOFT_DISABLE)
elif self.soft_disable_timer <= 0:
self.state = State.disabled
# PRE ENABLING
elif self.state == State.preEnabled:
if not self.events.any(ET.PRE_ENABLE):
self.state = State.enabled
else:
self.current_alert_types.append(ET.PRE_ENABLE)
# DISABLED
elif self.state == State.disabled:
if self.events.any(ET.ENABLE):
if self.events.any(ET.NO_ENTRY):
self.current_alert_types.append(ET.NO_ENTRY)
else:
if self.events.any(ET.PRE_ENABLE):
self.state = State.preEnabled
else:
self.state = State.enabled
self.current_alert_types.append(ET.ENABLE)
#self.v_cruise_kph = initialize_v_cruise(CS.vEgo, CS.buttonEvents, self.v_cruise_kph_last)
self.v_cruise_kph = 0
self.v_cruise_kph_last = 0
# Check if actuators are enabled
self.active = self.state == State.enabled or self.state == State.softDisabling
if self.active:
self.current_alert_types.append(ET.WARNING)
# Check if openpilot is engaged
self.enabled = self.active or self.state == State.preEnabled
def state_control(self, CS):
"""Given the state, this function returns an actuators packet"""
lat_plan = self.sm['lateralPlan']
long_plan = self.sm['longitudinalPlan']
anglesteer_current = CS.steeringAngleDeg
anglesteer_desire = lat_plan.steerAngleDesireDeg
output_scale = lat_plan.outputScale
live_sr = Params().get_bool('OpkrLiveSteerRatio')
if not live_sr:
angle_diff = abs(anglesteer_desire) - abs(anglesteer_current)
if abs(output_scale) >= self.CP.steerMaxV[0] and CS.vEgo > 8:
self.new_steerRatio_prev = interp(angle_diff, self.angle_differ_range, self.steerRatio_range)
if self.new_steerRatio_prev > self.new_steerRatio:
self.new_steerRatio = self.new_steerRatio_prev
else:
self.mpc_frame += 1
if self.mpc_frame % 100 == 0:
self.new_steerRatio -= 0.1
if self.new_steerRatio <= self.CP.steerRatio:
self.new_steerRatio = self.CP.steerRatio
self.mpc_frame = 0
# Update VehicleModel
params = self.sm['liveParameters']
x = max(params.stiffnessFactor, 0.1)
if live_sr:
sr = max(params.steerRatio, 0.1)
else:
sr = max(self.new_steerRatio, 0.1)
self.VM.update_params(x, sr)
self.steerRatio_to_send = sr
actuators = car.CarControl.Actuators.new_message()
if CS.leftBlinker or CS.rightBlinker:
self.last_blinker_frame = self.sm.frame
# State specific actions
if not self.active:
self.LaC.reset()
self.LoC.reset(v_pid=CS.vEgo)
long_plan_age = DT_CTRL * (self.sm.frame - self.sm.rcv_frame['longitudinalPlan'])
# no greater than dt mpc + dt, to prevent too high extraps
dt = min(long_plan_age, LON_MPC_STEP + DT_CTRL) + DT_CTRL
a_acc_sol = long_plan.aStart + (dt / LON_MPC_STEP) * (long_plan.aTarget - long_plan.aStart)
v_acc_sol = long_plan.vStart + dt * (a_acc_sol + long_plan.aStart) / 2.0
extras_loc = {'lead_one': self.sm['radarState'].leadOne, 'has_lead': long_plan.hasLead}
# Gas/Brake PID loop
actuators.gas, actuators.brake = self.LoC.update(self.active and CS.cruiseState.speed > 1., CS, v_acc_sol, long_plan.vTargetFuture, long_plan.aTarget, a_acc_sol, self.CP, long_plan.hasLead, self.sm['radarState'], long_plan.longitudinalPlanSource, extras_loc)
# Steering PID loop and lateral MPC
actuators.steer, actuators.steeringAngleDeg, lac_log = self.LaC.update(self.active, CS, self.CP, self.VM, params, lat_plan)
# Check for difference between desired angle and angle for angle based control
angle_control_saturated = self.CP.steerControlType == car.CarParams.SteerControlType.angle and \
abs(actuators.steeringAngleDeg - CS.steeringAngleDeg) > STEER_ANGLE_SATURATION_THRESHOLD
if angle_control_saturated and not CS.steeringPressed and self.active:
self.saturated_count += 1
else:
self.saturated_count = 0
# Send a "steering required alert" if saturation count has reached the limit
if (lac_log.saturated and not CS.steeringPressed) or \
(self.saturated_count > STEER_ANGLE_SATURATION_TIMEOUT):
if len(lat_plan.dPathPoints):
# Check if we deviated from the path
left_deviation = actuators.steer > 0 and lat_plan.dPathPoints[0] < -0.1
right_deviation = actuators.steer < 0 and lat_plan.dPathPoints[0] > 0.1
if left_deviation or right_deviation:
self.events.add(EventName.steerSaturated)
return actuators, v_acc_sol, a_acc_sol, lac_log
def publish_logs(self, CS, start_time, actuators, v_acc, a_acc, lac_log):
"""Send actuators and hud commands to the car, send controlsstate and MPC logging"""
self.log_alertTextMsg1 = trace1.global_alertTextMsg1
self.log_alertTextMsg2 = trace1.global_alertTextMsg2
CC = car.CarControl.new_message()
CC.enabled = self.enabled
CC.actuators = actuators
CC.cruiseControl.override = True
CC.cruiseControl.cancel = self.CP.enableCruise and not self.enabled and CS.cruiseState.enabled
# Some override values for Honda
# brake discount removes a sharp nonlinearity
brake_discount = (1.0 - clip(actuators.brake * 3., 0.0, 1.0))
speed_override = max(0.0, (self.LoC.v_pid + CS.cruiseState.speedOffset) * brake_discount)
CC.cruiseControl.speedOverride = float(speed_override if self.CP.enableCruise else 0.0)
CC.cruiseControl.accelOverride = self.CI.calc_accel_override(CS.aEgo, self.sm['longitudinalPlan'].aTarget, CS.vEgo, self.sm['longitudinalPlan'].vTarget)
CC.hudControl.setSpeed = float(self.v_cruise_kph * CV.KPH_TO_MS)
CC.hudControl.speedVisible = self.enabled
CC.hudControl.lanesVisible = self.enabled
CC.hudControl.leadVisible = self.sm['longitudinalPlan'].hasLead
CC.hudControl.leadDistance = self.sm['radarState'].leadOne.dRel
CC.hudControl.leadvRel = self.sm['radarState'].leadOne.vRel
CC.hudControl.leadyRel = self.sm['radarState'].leadOne.yRel
right_lane_visible = self.sm['lateralPlan'].rProb > 0.5
left_lane_visible = self.sm['lateralPlan'].lProb > 0.5
CC.hudControl.rightLaneVisible = bool(right_lane_visible)
CC.hudControl.leftLaneVisible = bool(left_lane_visible)
recent_blinker = (self.sm.frame - self.last_blinker_frame) * DT_CTRL < 5.0 # 5s blinker cooldown
ldw_allowed = self.is_ldw_enabled and CS.vEgo > LDW_MIN_SPEED and not recent_blinker \
and not self.active and self.sm['liveCalibration'].calStatus == Calibration.CALIBRATED
meta = self.sm['modelV2'].meta
if len(meta.desirePrediction) and ldw_allowed:
l_lane_change_prob = meta.desirePrediction[Desire.laneChangeLeft - 1]
r_lane_change_prob = meta.desirePrediction[Desire.laneChangeRight - 1]
if CS.cruiseState.modeSel == 3:
l_lane_close = left_lane_visible and (self.sm['modelV2'].laneLines[1].y[0] > -(1.08 + CAMERA_OFFSET_A))
r_lane_close = right_lane_visible and (self.sm['modelV2'].laneLines[2].y[0] < (1.08 - CAMERA_OFFSET_A))
else:
l_lane_close = left_lane_visible and (self.sm['modelV2'].laneLines[1].y[0] > -(1.08 + CAMERA_OFFSET))
r_lane_close = right_lane_visible and (self.sm['modelV2'].laneLines[2].y[0] < (1.08 - CAMERA_OFFSET))
CC.hudControl.leftLaneDepart = bool(l_lane_change_prob > LANE_DEPARTURE_THRESHOLD and l_lane_close)
CC.hudControl.rightLaneDepart = bool(r_lane_change_prob > LANE_DEPARTURE_THRESHOLD and r_lane_close)
if CC.hudControl.rightLaneDepart or CC.hudControl.leftLaneDepart:
self.events.add(EventName.ldw)
clear_event = ET.WARNING if ET.WARNING not in self.current_alert_types else None
alerts = self.events.create_alerts(self.current_alert_types, [self.CP, self.sm, self.is_metric])
self.AM.add_many(self.sm.frame, alerts, self.enabled)
self.AM.process_alerts(self.sm.frame, clear_event)
CC.hudControl.visualAlert = self.AM.visual_alert
if not self.hyundai_lkas and self.enabled:
# send car controls over can
can_sends = self.CI.apply(CC, self.sm)
self.pm.send('sendcan', can_list_to_can_capnp(can_sends, msgtype='sendcan', valid=CS.canValid))
force_decel = (self.sm['driverMonitoringState'].awarenessStatus < 0.) or \
(self.state == State.softDisabling)
# Curvature & Steering angle
params = self.sm['liveParameters']
lat_plan = self.sm['lateralPlan']
steer_angle_without_offset = math.radians(CS.steeringAngleDeg - params.angleOffsetAverageDeg)
curvature = -self.VM.calc_curvature(steer_angle_without_offset, CS.vEgo)
angle_steers_des = math.degrees(self.VM.get_steer_from_curvature(-lat_plan.curvature, CS.vEgo))
angle_steers_des += params.angleOffsetDeg
# controlsState
dat = messaging.new_message('controlsState')
dat.valid = CS.canValid
controlsState = dat.controlsState
controlsState.alertText1 = self.AM.alert_text_1
controlsState.alertText2 = self.AM.alert_text_2
controlsState.alertSize = self.AM.alert_size
controlsState.alertStatus = self.AM.alert_status
controlsState.alertBlinkingRate = self.AM.alert_rate
controlsState.alertType = self.AM.alert_type
controlsState.alertSound = self.AM.audible_alert
controlsState.canMonoTimes = list(CS.canMonoTimes)
controlsState.longitudinalPlanMonoTime = self.sm.logMonoTime['longitudinalPlan']
controlsState.lateralPlanMonoTime = self.sm.logMonoTime['lateralPlan']
controlsState.enabled = self.enabled
controlsState.active = self.active
controlsState.curvature = curvature
controlsState.steeringAngleDesiredDeg = angle_steers_des
controlsState.state = self.state
controlsState.engageable = not self.events.any(ET.NO_ENTRY)
controlsState.longControlState = self.LoC.long_control_state
controlsState.vPid = float(self.LoC.v_pid)
controlsState.vCruise = float(self.v_cruise_kph)
controlsState.upAccelCmd = float(self.LoC.pid.p)
controlsState.uiAccelCmd = float(self.LoC.pid.id)
controlsState.ufAccelCmd = float(self.LoC.pid.f)
controlsState.vTargetLead = float(v_acc)
controlsState.aTarget = float(a_acc)
controlsState.cumLagMs = -self.rk.remaining * 1000.
controlsState.startMonoTime = int(start_time * 1e9)
controlsState.forceDecel = bool(force_decel)
controlsState.canErrorCounter = self.can_error_counter
controlsState.alertTextMsg1 = self.log_alertTextMsg1
controlsState.alertTextMsg2 = self.log_alertTextMsg2
controlsState.limitSpeedCamera = float(self.sm['longitudinalPlan'].targetSpeedCamera)
controlsState.limitSpeedCameraDist = float(self.sm['longitudinalPlan'].targetSpeedCameraDist)
controlsState.lateralControlMethod = int(self.lateral_control_method)
controlsState.steerRatio = float(self.steerRatio_to_send)
if self.sm['longitudinalPlan'].longitudinalPlanSource == LongitudinalPlanSource.cruise:
self.long_plan_source = 1
elif self.sm['longitudinalPlan'].longitudinalPlanSource == LongitudinalPlanSource.mpc1:
self.long_plan_source = 2
elif self.sm['longitudinalPlan'].longitudinalPlanSource == LongitudinalPlanSource.mpc2:
self.long_plan_source = 3
elif self.sm['longitudinalPlan'].longitudinalPlanSource == LongitudinalPlanSource.mpc3:
self.long_plan_source = 4
elif self.sm['longitudinalPlan'].longitudinalPlanSource == LongitudinalPlanSource.model:
self.long_plan_source = 5
else:
self.long_plan_source = 0
controlsState.longPlanSource = self.long_plan_source
if self.CP.steerControlType == car.CarParams.SteerControlType.angle:
controlsState.lateralControlState.angleState = lac_log
elif self.CP.lateralTuning.which() == 'pid':
controlsState.lateralControlState.pidState = lac_log
elif self.CP.lateralTuning.which() == 'lqr':
controlsState.lateralControlState.lqrState = lac_log
elif self.CP.lateralTuning.which() == 'indi':
controlsState.lateralControlState.indiState = lac_log
self.pm.send('controlsState', dat)
# carState
car_events = self.events.to_msg()
cs_send = messaging.new_message('carState')
cs_send.valid = CS.canValid
cs_send.carState = CS
cs_send.carState.events = car_events
self.pm.send('carState', cs_send)
# carEvents - logged every second or on change
if (self.sm.frame % int(1. / DT_CTRL) == 0) or (self.events.names != self.events_prev):
ce_send = messaging.new_message('carEvents', len(self.events))
ce_send.carEvents = car_events
self.pm.send('carEvents', ce_send)
self.events_prev = self.events.names.copy()
# carParams - logged every 50 seconds (> 1 per segment)
if (self.sm.frame % int(50. / DT_CTRL) == 0):
cp_send = messaging.new_message('carParams')
cp_send.carParams = self.CP
self.pm.send('carParams', cp_send)
# carControl
cc_send = messaging.new_message('carControl')
cc_send.valid = CS.canValid
cc_send.carControl = CC
self.pm.send('carControl', cc_send)
# copy CarControl to pass to CarInterface on the next iteration
self.CC = CC
def step(self):
start_time = sec_since_boot()
self.prof.checkpoint("Ratekeeper", ignore=True)
# Sample data from sockets and get a carState
CS = self.data_sample()
self.prof.checkpoint("Sample")
if self.read_only:
self.hyundai_lkas = self.read_only
elif CS.cruiseState.enabled and self.hyundai_lkas:
self.hyundai_lkas = False
self.update_events(CS)
if not self.hyundai_lkas:
# Update control state
self.state_transition(CS)
self.prof.checkpoint("State transition")
# Compute actuators (runs PID loops and lateral MPC)
actuators, v_acc, a_acc, lac_log = self.state_control(CS)
self.prof.checkpoint("State Control")
# Publish data
self.publish_logs(CS, start_time, actuators, v_acc, a_acc, lac_log)
self.prof.checkpoint("Sent")
if not CS.cruiseState.enabled and not self.hyundai_lkas:
self.hyundai_lkas = True
def controlsd_thread(self):
while True:
self.step()
self.rk.monitor_time()
self.prof.display()
class Controls:
def __init__(self, sm=None, pm=None, can_sock=None):
config_realtime_process(3, Priority.CTRL_HIGH)
# Setup sockets
self.pm = pm
if self.pm is None:
self.pm = messaging.PubMaster(['sendcan', 'controlsState', 'carState',
'carControl', 'carEvents', 'carParams'])
self.sm = sm
if self.sm is None:
self.sm = messaging.SubMaster(['thermal', 'health', 'model', 'liveCalibration',
'dMonitoringState', 'plan', 'pathPlan', 'liveLocationKalman'])
self.can_sock = can_sock
if can_sock is None:
can_timeout = None if os.environ.get('NO_CAN_TIMEOUT', False) else 100
self.can_sock = messaging.sub_sock('can', timeout=can_timeout)
# wait for one health and one CAN packet
hw_type = messaging.recv_one(self.sm.sock['health']).health.hwType
has_relay = hw_type in [HwType.blackPanda, HwType.uno, HwType.dos]
print("Waiting for CAN messages...")
get_one_can(self.can_sock)
self.CI, self.CP = get_car(self.can_sock, self.pm.sock['sendcan'], has_relay)
# read params
params = Params()
self.is_metric = params.get("IsMetric", encoding='utf8') == "1"
self.is_ldw_enabled = params.get("IsLdwEnabled", encoding='utf8') == "1"
internet_needed = (params.get("Offroad_ConnectivityNeeded", encoding='utf8') is not None) and (params.get("DisableUpdates") != b"1")
community_feature_toggle = params.get("CommunityFeaturesToggle", encoding='utf8') == "1"
openpilot_enabled_toggle = params.get("OpenpilotEnabledToggle", encoding='utf8') == "1"
passive = params.get("Passive", encoding='utf8') == "1" or \
internet_needed or not openpilot_enabled_toggle
# detect sound card presence and ensure successful init
sounds_available = HARDWARE.get_sound_card_online()
car_recognized = self.CP.carName != 'mock'
# If stock camera is disconnected, we loaded car controls and it's not dashcam mode
controller_available = self.CP.enableCamera and self.CI.CC is not None and not passive and not self.CP.dashcamOnly
community_feature_disallowed = self.CP.communityFeature and not community_feature_toggle
self.read_only = not car_recognized or not controller_available or \
self.CP.dashcamOnly or community_feature_disallowed
if self.read_only:
self.CP.safetyModel = car.CarParams.SafetyModel.noOutput
# Write CarParams for radard and boardd safety mode
cp_bytes = self.CP.to_bytes()
params.put("CarParams", cp_bytes)
put_nonblocking("CarParamsCache", cp_bytes)
self.CC = car.CarControl.new_message()
self.AM = AlertManager()
self.events = Events()
self.LoC = LongControl(self.CP, self.CI.compute_gb)
self.VM = VehicleModel(self.CP)
if self.CP.lateralTuning.which() == 'pid':
self.LaC = LatControlPID(self.CP)
elif self.CP.lateralTuning.which() == 'indi':
self.LaC = LatControlINDI(self.CP)
elif self.CP.lateralTuning.which() == 'lqr':
self.LaC = LatControlLQR(self.CP)
self.state = State.disabled
self.enabled = False
self.active = False
self.can_rcv_error = False
self.soft_disable_timer = 0
self.v_cruise_kph = 255
self.v_cruise_kph_last = 0
self.mismatch_counter = 0
self.can_error_counter = 0
self.last_blinker_frame = 0
self.saturated_count = 0
self.distance_traveled = 0
self.last_functional_fan_frame = 0
self.events_prev = []
self.current_alert_types = [ET.PERMANENT]
self.sm['liveCalibration'].calStatus = Calibration.CALIBRATED
self.sm['thermal'].freeSpace = 1.
self.sm['dMonitoringState'].events = []
self.sm['dMonitoringState'].awarenessStatus = 1.
self.sm['dMonitoringState'].faceDetected = False
self.startup_event = get_startup_event(car_recognized, controller_available, hw_type)
if not sounds_available:
self.events.add(EventName.soundsUnavailable, static=True)
if internet_needed:
self.events.add(EventName.internetConnectivityNeeded, static=True)
if community_feature_disallowed:
self.events.add(EventName.communityFeatureDisallowed, static=True)
if not car_recognized:
self.events.add(EventName.carUnrecognized, static=True)
if hw_type == HwType.whitePanda:
self.events.add(EventName.whitePandaUnsupported, static=True)
# controlsd is driven by can recv, expected at 100Hz
self.rk = Ratekeeper(100, print_delay_threshold=None)
self.prof = Profiler(False) # off by default
def update_events(self, CS):
"""Compute carEvents from carState"""
self.events.clear()
self.events.add_from_msg(CS.events)
self.events.add_from_msg(self.sm['dMonitoringState'].events)
# Handle startup event
if self.startup_event is not None:
self.events.add(self.startup_event)
self.startup_event = None
# Create events for battery, temperature, disk space, and memory
if self.sm['thermal'].batteryPercent < 1 and self.sm['thermal'].chargingError:
# at zero percent battery, while discharging, OP should not allowed
self.events.add(EventName.lowBattery)
if self.sm['thermal'].thermalStatus >= ThermalStatus.red:
self.events.add(EventName.overheat)
if self.sm['thermal'].freeSpace < 0.07:
# under 7% of space free no enable allowed
self.events.add(EventName.outOfSpace)
if self.sm['thermal'].memUsedPercent > 90:
self.events.add(EventName.lowMemory)
# Alert if fan isn't spinning for 5 seconds
if self.sm['health'].hwType in [HwType.uno, HwType.dos]:
if self.sm['health'].fanSpeedRpm == 0 and self.sm['thermal'].fanSpeed > 50:
if (self.sm.frame - self.last_functional_fan_frame) * DT_CTRL > 5.0:
self.events.add(EventName.fanMalfunction)
else:
self.last_functional_fan_frame = self.sm.frame
# Handle calibration status
cal_status = self.sm['liveCalibration'].calStatus
if cal_status != Calibration.CALIBRATED:
if cal_status == Calibration.UNCALIBRATED:
self.events.add(EventName.calibrationIncomplete)
else:
self.events.add(EventName.calibrationInvalid)
# Handle lane change
if self.sm['pathPlan'].laneChangeState == LaneChangeState.preLaneChange:
direction = self.sm['pathPlan'].laneChangeDirection
if (CS.leftBlindspot and direction == LaneChangeDirection.left) or \
(CS.rightBlindspot and direction == LaneChangeDirection.right):
self.events.add(EventName.laneChangeBlocked)
else:
if direction == LaneChangeDirection.left:
self.events.add(EventName.preLaneChangeLeft)
else:
self.events.add(EventName.preLaneChangeRight)
elif self.sm['pathPlan'].laneChangeState in [LaneChangeState.laneChangeStarting,
LaneChangeState.laneChangeFinishing]:
self.events.add(EventName.laneChange)
if self.can_rcv_error or (not CS.canValid and self.sm.frame > 5 / DT_CTRL):
self.events.add(EventName.canError)
if self.mismatch_counter >= 200:
self.events.add(EventName.controlsMismatch)
if not self.sm.alive['plan'] and self.sm.alive['pathPlan']:
# only plan not being received: radar not communicating
self.events.add(EventName.radarCommIssue)
elif not self.sm.all_alive_and_valid():
self.events.add(EventName.commIssue)
if not self.sm['pathPlan'].mpcSolutionValid:
self.events.add(EventName.plannerError)
if not self.sm['liveLocationKalman'].sensorsOK and not NOSENSOR:
if self.sm.frame > 5 / DT_CTRL: # Give locationd some time to receive all the inputs
self.events.add(EventName.sensorDataInvalid)
if not self.sm['liveLocationKalman'].gpsOK and (self.distance_traveled > 1000):
# Not show in first 1 km to allow for driving out of garage. This event shows after 5 minutes
if not (SIMULATION or NOSENSOR): # TODO: send GPS in carla
self.events.add(EventName.noGps)
if not self.sm['pathPlan'].paramsValid:
self.events.add(EventName.vehicleModelInvalid)
if not self.sm['liveLocationKalman'].posenetOK:
self.events.add(EventName.posenetInvalid)
if not self.sm['liveLocationKalman'].deviceStable:
self.events.add(EventName.deviceFalling)
if not self.sm['plan'].radarValid:
self.events.add(EventName.radarFault)
if self.sm['plan'].radarCanError:
self.events.add(EventName.radarCanError)
if log.HealthData.FaultType.relayMalfunction in self.sm['health'].faults:
self.events.add(EventName.relayMalfunction)
if self.sm['plan'].fcw:
self.events.add(EventName.fcw)
if self.sm['model'].frameDropPerc > 1 and (not SIMULATION):
self.events.add(EventName.modeldLagging)
# Only allow engagement with brake pressed when stopped behind another stopped car
if CS.brakePressed and self.sm['plan'].vTargetFuture >= STARTING_TARGET_SPEED \
and self.CP.openpilotLongitudinalControl and CS.vEgo < 0.3:
self.events.add(EventName.noTarget)
def data_sample(self):
"""Receive data from sockets and update carState"""
# Update carState from CAN
can_strs = messaging.drain_sock_raw(self.can_sock, wait_for_one=True)
CS = self.CI.update(self.CC, can_strs)
self.sm.update(0)
# Check for CAN timeout
if not can_strs:
self.can_error_counter += 1
self.can_rcv_error = True
else:
self.can_rcv_error = False
# When the panda and controlsd do not agree on controls_allowed
# we want to disengage openpilot. However the status from the panda goes through
# another socket other than the CAN messages and one can arrive earlier than the other.
# Therefore we allow a mismatch for two samples, then we trigger the disengagement.
if not self.enabled:
self.mismatch_counter = 0
if not self.sm['health'].controlsAllowed and self.enabled:
self.mismatch_counter += 1
self.distance_traveled += CS.vEgo * DT_CTRL
return CS
def state_transition(self, CS):
"""Compute conditional state transitions and execute actions on state transitions"""
self.v_cruise_kph_last = self.v_cruise_kph
# if stock cruise is completely disabled, then we can use our own set speed logic
if not self.CP.enableCruise:
self.v_cruise_kph = update_v_cruise(self.v_cruise_kph, CS.buttonEvents, self.enabled)
elif self.CP.enableCruise and CS.cruiseState.enabled:
self.v_cruise_kph = CS.cruiseState.speed * CV.MS_TO_KPH
# decrease the soft disable timer at every step, as it's reset on
# entrance in SOFT_DISABLING state
self.soft_disable_timer = max(0, self.soft_disable_timer - 1)
self.current_alert_types = [ET.PERMANENT]
# ENABLED, PRE ENABLING, SOFT DISABLING
if self.state != State.disabled:
# user and immediate disable always have priority in a non-disabled state
if self.events.any(ET.USER_DISABLE):
self.state = State.disabled
self.current_alert_types.append(ET.USER_DISABLE)
elif self.events.any(ET.IMMEDIATE_DISABLE):
self.state = State.disabled
self.current_alert_types.append(ET.IMMEDIATE_DISABLE)
else:
# ENABLED
if self.state == State.enabled:
if self.events.any(ET.SOFT_DISABLE):
self.state = State.softDisabling
self.soft_disable_timer = 300 # 3s
self.current_alert_types.append(ET.SOFT_DISABLE)
# SOFT DISABLING
elif self.state == State.softDisabling:
if not self.events.any(ET.SOFT_DISABLE):
# no more soft disabling condition, so go back to ENABLED
self.state = State.enabled
elif self.events.any(ET.SOFT_DISABLE) and self.soft_disable_timer > 0:
self.current_alert_types.append(ET.SOFT_DISABLE)
elif self.soft_disable_timer <= 0:
self.state = State.disabled
# PRE ENABLING
elif self.state == State.preEnabled:
if not self.events.any(ET.PRE_ENABLE):
self.state = State.enabled
else:
self.current_alert_types.append(ET.PRE_ENABLE)
# DISABLED
elif self.state == State.disabled:
if self.events.any(ET.ENABLE):
if self.events.any(ET.NO_ENTRY):
self.current_alert_types.append(ET.NO_ENTRY)
else:
if self.events.any(ET.PRE_ENABLE):
self.state = State.preEnabled
else:
self.state = State.enabled
self.current_alert_types.append(ET.ENABLE)
self.v_cruise_kph = initialize_v_cruise(CS.vEgo, CS.buttonEvents, self.v_cruise_kph_last)
# Check if actuators are enabled
self.active = self.state == State.enabled or self.state == State.softDisabling
if self.active:
self.current_alert_types.append(ET.WARNING)
# Check if openpilot is engaged
self.enabled = self.active or self.state == State.preEnabled
def state_control(self, CS):
"""Given the state, this function returns an actuators packet"""
plan = self.sm['plan']
path_plan = self.sm['pathPlan']
actuators = car.CarControl.Actuators.new_message()
if CS.leftBlinker or CS.rightBlinker:
self.last_blinker_frame = self.sm.frame
# State specific actions
if not self.active:
self.LaC.reset()
self.LoC.reset(v_pid=CS.vEgo)
plan_age = DT_CTRL * (self.sm.frame - self.sm.rcv_frame['plan'])
# no greater than dt mpc + dt, to prevent too high extraps
dt = min(plan_age, LON_MPC_STEP + DT_CTRL) + DT_CTRL
a_acc_sol = plan.aStart + (dt / LON_MPC_STEP) * (plan.aTarget - plan.aStart)
v_acc_sol = plan.vStart + dt * (a_acc_sol + plan.aStart) / 2.0
# Gas/Brake PID loop
actuators.gas, actuators.brake = self.LoC.update(self.active, CS, v_acc_sol, plan.vTargetFuture, a_acc_sol, self.CP)
# Steering PID loop and lateral MPC
actuators.steer, actuators.steerAngle, lac_log = self.LaC.update(self.active, CS, self.CP, path_plan)
# Check for difference between desired angle and angle for angle based control
angle_control_saturated = self.CP.steerControlType == car.CarParams.SteerControlType.angle and \
abs(actuators.steerAngle - CS.steeringAngle) > STEER_ANGLE_SATURATION_THRESHOLD
if angle_control_saturated and not CS.steeringPressed and self.active:
self.saturated_count += 1
else:
self.saturated_count = 0
# Send a "steering required alert" if saturation count has reached the limit
if (lac_log.saturated and not CS.steeringPressed) or \
(self.saturated_count > STEER_ANGLE_SATURATION_TIMEOUT):
# Check if we deviated from the path
left_deviation = actuators.steer > 0 and path_plan.dPoly[3] > 0.1
right_deviation = actuators.steer < 0 and path_plan.dPoly[3] < -0.1
if left_deviation or right_deviation:
self.events.add(EventName.steerSaturated)
return actuators, v_acc_sol, a_acc_sol, lac_log
def publish_logs(self, CS, start_time, actuators, v_acc, a_acc, lac_log):
"""Send actuators and hud commands to the car, send controlsstate and MPC logging"""
CC = car.CarControl.new_message()
CC.enabled = self.enabled
CC.actuators = actuators
CC.cruiseControl.override = True
CC.cruiseControl.cancel = not self.CP.enableCruise or (not self.enabled and CS.cruiseState.enabled)
# Some override values for Honda
# brake discount removes a sharp nonlinearity
brake_discount = (1.0 - clip(actuators.brake * 3., 0.0, 1.0))
speed_override = max(0.0, (self.LoC.v_pid + CS.cruiseState.speedOffset) * brake_discount)
CC.cruiseControl.speedOverride = float(speed_override if self.CP.enableCruise else 0.0)
CC.cruiseControl.accelOverride = self.CI.calc_accel_override(CS.aEgo, self.sm['plan'].aTarget, CS.vEgo, self.sm['plan'].vTarget)
CC.hudControl.setSpeed = float(self.v_cruise_kph * CV.KPH_TO_MS)
CC.hudControl.speedVisible = self.enabled
CC.hudControl.lanesVisible = self.enabled
CC.hudControl.leadVisible = self.sm['plan'].hasLead
right_lane_visible = self.sm['pathPlan'].rProb > 0.5
left_lane_visible = self.sm['pathPlan'].lProb > 0.5
CC.hudControl.rightLaneVisible = bool(right_lane_visible)
CC.hudControl.leftLaneVisible = bool(left_lane_visible)
recent_blinker = (self.sm.frame - self.last_blinker_frame) * DT_CTRL < 5.0 # 5s blinker cooldown
ldw_allowed = self.is_ldw_enabled and CS.vEgo > LDW_MIN_SPEED and not recent_blinker \
and not self.active and self.sm['liveCalibration'].calStatus == Calibration.CALIBRATED
meta = self.sm['model'].meta
if len(meta.desirePrediction) and ldw_allowed:
l_lane_change_prob = meta.desirePrediction[Desire.laneChangeLeft - 1]
r_lane_change_prob = meta.desirePrediction[Desire.laneChangeRight - 1]
l_lane_close = left_lane_visible and (self.sm['pathPlan'].lPoly[3] < (1.08 - CAMERA_OFFSET))
r_lane_close = right_lane_visible and (self.sm['pathPlan'].rPoly[3] > -(1.08 + CAMERA_OFFSET))
CC.hudControl.leftLaneDepart = bool(l_lane_change_prob > LANE_DEPARTURE_THRESHOLD and l_lane_close)
CC.hudControl.rightLaneDepart = bool(r_lane_change_prob > LANE_DEPARTURE_THRESHOLD and r_lane_close)
if CC.hudControl.rightLaneDepart or CC.hudControl.leftLaneDepart:
self.events.add(EventName.ldw)
clear_event = ET.WARNING if ET.WARNING not in self.current_alert_types else None
alerts = self.events.create_alerts(self.current_alert_types, [self.CP, self.sm, self.is_metric])
self.AM.add_many(self.sm.frame, alerts, self.enabled)
self.AM.process_alerts(self.sm.frame, clear_event)
CC.hudControl.visualAlert = self.AM.visual_alert
if not self.read_only:
# send car controls over can
can_sends = self.CI.apply(CC)
self.pm.send('sendcan', can_list_to_can_capnp(can_sends, msgtype='sendcan', valid=CS.canValid))
force_decel = (self.sm['dMonitoringState'].awarenessStatus < 0.) or \
(self.state == State.softDisabling)
steer_angle_rad = (CS.steeringAngle - self.sm['pathPlan'].angleOffset) * CV.DEG_TO_RAD
# controlsState
dat = messaging.new_message('controlsState')
dat.valid = CS.canValid
controlsState = dat.controlsState
controlsState.alertText1 = self.AM.alert_text_1
controlsState.alertText2 = self.AM.alert_text_2
controlsState.alertSize = self.AM.alert_size
controlsState.alertStatus = self.AM.alert_status
controlsState.alertBlinkingRate = self.AM.alert_rate
controlsState.alertType = self.AM.alert_type
controlsState.alertSound = self.AM.audible_alert
controlsState.driverMonitoringOn = self.sm['dMonitoringState'].faceDetected
controlsState.canMonoTimes = list(CS.canMonoTimes)
controlsState.planMonoTime = self.sm.logMonoTime['plan']
controlsState.pathPlanMonoTime = self.sm.logMonoTime['pathPlan']
controlsState.enabled = self.enabled
controlsState.active = self.active
controlsState.vEgo = CS.vEgo
controlsState.vEgoRaw = CS.vEgoRaw
controlsState.angleSteers = CS.steeringAngle
controlsState.curvature = self.VM.calc_curvature(steer_angle_rad, CS.vEgo)
controlsState.steerOverride = CS.steeringPressed
controlsState.state = self.state
controlsState.engageable = not self.events.any(ET.NO_ENTRY)
controlsState.longControlState = self.LoC.long_control_state
controlsState.vPid = float(self.LoC.v_pid)
controlsState.vCruise = float(self.v_cruise_kph)
controlsState.upAccelCmd = float(self.LoC.pid.p)
controlsState.uiAccelCmd = float(self.LoC.pid.i)
controlsState.ufAccelCmd = float(self.LoC.pid.f)
controlsState.angleSteersDes = float(self.LaC.angle_steers_des)
controlsState.vTargetLead = float(v_acc)
controlsState.aTarget = float(a_acc)
controlsState.jerkFactor = float(self.sm['plan'].jerkFactor)
controlsState.gpsPlannerActive = self.sm['plan'].gpsPlannerActive
controlsState.vCurvature = self.sm['plan'].vCurvature
controlsState.decelForModel = self.sm['plan'].longitudinalPlanSource == LongitudinalPlanSource.model
controlsState.cumLagMs = -self.rk.remaining * 1000.
controlsState.startMonoTime = int(start_time * 1e9)
controlsState.mapValid = self.sm['plan'].mapValid
controlsState.forceDecel = bool(force_decel)
controlsState.canErrorCounter = self.can_error_counter
if self.CP.lateralTuning.which() == 'pid':
controlsState.lateralControlState.pidState = lac_log
elif self.CP.lateralTuning.which() == 'lqr':
controlsState.lateralControlState.lqrState = lac_log
elif self.CP.lateralTuning.which() == 'indi':
controlsState.lateralControlState.indiState = lac_log
self.pm.send('controlsState', dat)
# carState
car_events = self.events.to_msg()
cs_send = messaging.new_message('carState')
cs_send.valid = CS.canValid
cs_send.carState = CS
cs_send.carState.events = car_events
self.pm.send('carState', cs_send)
# carEvents - logged every second or on change
if (self.sm.frame % int(1. / DT_CTRL) == 0) or (self.events.names != self.events_prev):
ce_send = messaging.new_message('carEvents', len(self.events))
ce_send.carEvents = car_events
self.pm.send('carEvents', ce_send)
self.events_prev = self.events.names.copy()
# carParams - logged every 50 seconds (> 1 per segment)
if (self.sm.frame % int(50. / DT_CTRL) == 0):
cp_send = messaging.new_message('carParams')
cp_send.carParams = self.CP
self.pm.send('carParams', cp_send)
# carControl
cc_send = messaging.new_message('carControl')
cc_send.valid = CS.canValid
cc_send.carControl = CC
self.pm.send('carControl', cc_send)
# copy CarControl to pass to CarInterface on the next iteration
self.CC = CC
def step(self):
start_time = sec_since_boot()
self.prof.checkpoint("Ratekeeper", ignore=True)
# Sample data from sockets and get a carState
CS = self.data_sample()
self.prof.checkpoint("Sample")
self.update_events(CS)
if not self.read_only:
# Update control state
self.state_transition(CS)
self.prof.checkpoint("State transition")
# Compute actuators (runs PID loops and lateral MPC)
actuators, v_acc, a_acc, lac_log = self.state_control(CS)
self.prof.checkpoint("State Control")
# Publish data
self.publish_logs(CS, start_time, actuators, v_acc, a_acc, lac_log)
self.prof.checkpoint("Sent")
def controlsd_thread(self):
while True:
self.step()
self.rk.monitor_time()
self.prof.display()
def radard_thread(gctx=None):
set_realtime_priority(2)
# wait for stats about the car to come in from controls
cloudlog.info("radard is waiting for CarParams")
CP = car.CarParams.from_bytes(Params().get("CarParams", block=True))
mocked = CP.carName == "mock"
VM = VehicleModel(CP)
cloudlog.info("radard got CarParams")
# import the radar from the fingerprint
cloudlog.info("radard is importing %s", CP.carName)
RadarInterface = importlib.import_module(
'selfdrive.car.%s.radar_interface' % CP.carName).RadarInterface
context = zmq.Context()
# *** subscribe to features and model from visiond
poller = zmq.Poller()
model = messaging.sub_sock(context,
service_list['model'].port,
conflate=True,
poller=poller)
controls_state_sock = messaging.sub_sock(
context,
service_list['controlsState'].port,
conflate=True,
poller=poller)
live_parameters_sock = messaging.sub_sock(
context,
service_list['liveParameters'].port,
conflate=True,
poller=poller)
# Default parameters
live_parameters = messaging.new_message()
live_parameters.init('liveParameters')
live_parameters.liveParameters.valid = True
live_parameters.liveParameters.steerRatio = CP.steerRatio
live_parameters.liveParameters.stiffnessFactor = 1.0
MP = ModelParser()
RI = RadarInterface(CP)
last_md_ts = 0
last_controls_state_ts = 0
# *** publish radarState and liveTracks
radarState = messaging.pub_sock(context, service_list['radarState'].port)
liveTracks = messaging.pub_sock(context, service_list['liveTracks'].port)
path_x = np.arange(0.0, 140.0, 0.1) # 140 meters is max
# Time-alignment
rate = 20. # model and radar are both at 20Hz
tsv = 1. / rate
v_len = 20 # how many speed data points to remember for t alignment with rdr data
active = 0
steer_angle = 0.
steer_override = False
tracks = defaultdict(dict)
# Kalman filter stuff:
ekfv = EKFV1D()
speedSensorV = SimpleSensor(XV, 1, 2)
# v_ego
v_ego = None
v_ego_hist_t = deque(maxlen=v_len)
v_ego_hist_v = deque(maxlen=v_len)
v_ego_t_aligned = 0.
rk = Ratekeeper(rate, print_delay_threshold=None)
while 1:
rr = RI.update()
ar_pts = {}
for pt in rr.points:
ar_pts[pt.trackId] = [
pt.dRel + RDR_TO_LDR, pt.yRel, pt.vRel, pt.measured
]
# receive the controlsStates
controls_state = None
md = None
for socket, event in poller.poll(0):
if socket is controls_state_sock:
controls_state = messaging.recv_one(socket)
elif socket is model:
md = messaging.recv_one(socket)
elif socket is live_parameters_sock:
live_parameters = messaging.recv_one(socket)
VM.update_params(
live_parameters.liveParameters.stiffnessFactor,
live_parameters.liveParameters.steerRatio)
if controls_state is not None:
active = controls_state.controlsState.active
v_ego = controls_state.controlsState.vEgo
steer_angle = controls_state.controlsState.angleSteers
steer_override = controls_state.controlsState.steerOverride
v_ego_hist_v.append(v_ego)
v_ego_hist_t.append(float(rk.frame) / rate)
last_controls_state_ts = controls_state.logMonoTime
if v_ego is None:
continue
if md is not None:
last_md_ts = md.logMonoTime
# *** get path prediction from the model ***
MP.update(v_ego, md)
# run kalman filter only if prob is high enough
if MP.lead_prob > 0.7:
reading = speedSensorV.read(MP.lead_dist,
covar=np.matrix(MP.lead_var))
ekfv.update_scalar(reading)
ekfv.predict(tsv)
# When changing lanes the distance to the lead car can suddenly change,
# which makes the Kalman filter output large relative acceleration
if mocked and abs(MP.lead_dist - ekfv.state[XV]) > 2.0:
ekfv.state[XV] = MP.lead_dist
ekfv.covar = (np.diag([MP.lead_var, ekfv.var_init]))
ekfv.state[SPEEDV] = 0.
ar_pts[VISION_POINT] = (float(ekfv.state[XV]),
np.polyval(MP.d_poly,
float(ekfv.state[XV])),
float(ekfv.state[SPEEDV]), False)
else:
ekfv.state[XV] = MP.lead_dist
ekfv.covar = (np.diag([MP.lead_var, ekfv.var_init]))
ekfv.state[SPEEDV] = 0.
if VISION_POINT in ar_pts:
del ar_pts[VISION_POINT]
# *** compute the likely path_y ***
if (active and not steer_override) or mocked:
# use path from model (always when mocking as steering is too noisy)
path_y = np.polyval(MP.d_poly, path_x)
else:
# use path from steer, set angle_offset to 0 it does not only report the physical offset
path_y = calc_lookahead_offset(
v_ego,
steer_angle,
path_x,
VM,
angle_offset=live_parameters.liveParameters.angleOffsetAverage
)[0]
# *** remove missing points from meta data ***
for ids in tracks.keys():
if ids not in ar_pts:
tracks.pop(ids, None)
# *** compute the tracks ***
for ids in ar_pts:
# ignore standalone vision point, unless we are mocking the radar
if ids == VISION_POINT and not mocked:
continue
rpt = ar_pts[ids]
# align v_ego by a fixed time to align it with the radar measurement
cur_time = float(rk.frame) / rate
v_ego_t_aligned = np.interp(cur_time - RI.delay, v_ego_hist_t,
v_ego_hist_v)
d_path = np.sqrt(
np.amin((path_x - rpt[0])**2 + (path_y - rpt[1])**2))
# add sign
d_path *= np.sign(rpt[1] - np.interp(rpt[0], path_x, path_y))
# create the track if it doesn't exist or it's a new track
if ids not in tracks:
tracks[ids] = Track()
tracks[ids].update(rpt[0], rpt[1], rpt[2], d_path, v_ego_t_aligned,
rpt[3], steer_override)
# allow the vision model to remove the stationary flag if distance and rel speed roughly match
if VISION_POINT in ar_pts:
fused_id = None
best_score = NO_FUSION_SCORE
for ids in tracks:
dist_to_vision = np.sqrt(
(0.5 * (ar_pts[VISION_POINT][0] - tracks[ids].dRel))**2 +
(2 * (ar_pts[VISION_POINT][1] - tracks[ids].yRel))**2)
rel_speed_diff = abs(ar_pts[VISION_POINT][2] -
tracks[ids].vRel)
tracks[ids].update_vision_score(dist_to_vision, rel_speed_diff)
if best_score > tracks[ids].vision_score:
fused_id = ids
best_score = tracks[ids].vision_score
if fused_id is not None:
tracks[fused_id].vision_cnt += 1
tracks[fused_id].update_vision_fusion()
if DEBUG:
print("NEW CYCLE")
if VISION_POINT in ar_pts:
print("vision", ar_pts[VISION_POINT])
idens = list(tracks.keys())
track_pts = np.array(
[tracks[iden].get_key_for_cluster() for iden in idens])
# If we have multiple points, cluster them
if len(track_pts) > 1:
cluster_idxs = cluster_points_centroid(track_pts, 2.5)
clusters = [None] * (max(cluster_idxs) + 1)
for idx in xrange(len(track_pts)):
cluster_i = cluster_idxs[idx]
if clusters[cluster_i] is None:
clusters[cluster_i] = Cluster()
clusters[cluster_i].add(tracks[idens[idx]])
elif len(track_pts) == 1:
# TODO: why do we need this?
clusters = [Cluster()]
clusters[0].add(tracks[idens[0]])
else:
clusters = []
if DEBUG:
for i in clusters:
print(i)
# *** extract the lead car ***
lead_clusters = [c for c in clusters if c.is_potential_lead(v_ego)]
lead_clusters.sort(key=lambda x: x.dRel)
lead_len = len(lead_clusters)
# *** extract the second lead from the whole set of leads ***
lead2_clusters = [
c for c in lead_clusters if c.is_potential_lead2(lead_clusters)
]
lead2_clusters.sort(key=lambda x: x.dRel)
lead2_len = len(lead2_clusters)
# *** publish radarState ***
dat = messaging.new_message()
dat.init('radarState')
dat.radarState.mdMonoTime = last_md_ts
dat.radarState.canMonoTimes = list(rr.canMonoTimes)
dat.radarState.radarErrors = list(rr.errors)
dat.radarState.controlsStateMonoTime = last_controls_state_ts
if lead_len > 0:
dat.radarState.leadOne = lead_clusters[0].toRadarState()
if lead2_len > 0:
dat.radarState.leadTwo = lead2_clusters[0].toRadarState()
else:
dat.radarState.leadTwo.status = False
else:
dat.radarState.leadOne.status = False
dat.radarState.cumLagMs = -rk.remaining * 1000.
radarState.send(dat.to_bytes())
# *** publish tracks for UI debugging (keep last) ***
dat = messaging.new_message()
dat.init('liveTracks', len(tracks))
for cnt, ids in enumerate(tracks.keys()):
if DEBUG:
print("id: %4.0f x: %4.1f y: %4.1f vr: %4.1f d: %4.1f va: %4.1f vl: %4.1f vlk: %4.1f alk: %4.1f s: %1.0f v: %1.0f" % \
(ids, tracks[ids].dRel, tracks[ids].yRel, tracks[ids].vRel,
tracks[ids].dPath, tracks[ids].vLat,
tracks[ids].vLead, tracks[ids].vLeadK,
tracks[ids].aLeadK,
tracks[ids].stationary,
tracks[ids].measured))
dat.liveTracks[cnt] = {
"trackId": ids,
"dRel": float(tracks[ids].dRel),
"yRel": float(tracks[ids].yRel),
"vRel": float(tracks[ids].vRel),
"aRel": float(tracks[ids].aRel),
"stationary": bool(tracks[ids].stationary),
"oncoming": bool(tracks[ids].oncoming),
}
liveTracks.send(dat.to_bytes())
rk.monitor_time()
