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 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)
# 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
wait_for_can(logcan)
CI, CP = get_car(logcan, sendcan, is_panda_black)
logcan.close()
# TODO: Use the logcan socket from above, but that will currenly break the tests
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)
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
# 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()
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, 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 controlsd_thread(gctx, rate=100): #rate in Hz
# *** log ***
context = zmq.Context()
live100 = messaging.pub_sock(context, service_list['live100'].port)
thermal = messaging.sub_sock(context, service_list['thermal'].port)
live20 = messaging.sub_sock(context, service_list['live20'].port)
model = messaging.sub_sock(context, service_list['model'].port)
health = messaging.sub_sock(context, service_list['health'].port)
# connects to can and sendcan
CI = CarInterface()
VP = CI.getVehicleParams()
PP = PathPlanner(model)
AC = AdaptiveCruise(live20)
AM = AlertManager()
LoC = LongControl()
LaC = LatControl()
# controls enabled state
enabled = False
last_enable_request = 0
# learned angle offset
angle_offset = 0
# rear view camera state
rear_view_toggle = False
v_cruise_kph = 255
# 0.0 - 1.0
awareness_status = 0.0
soft_disable_timer = None
# Is cpu temp too high to enable?
overtemp = False
free_space = 1.0
# start the loop
set_realtime_priority(2)
rk = Ratekeeper(rate, print_delay_threshold=2. / 1000)
while 1:
prof = Profiler()
cur_time = sec_since_boot()
# read CAN
CS = CI.update()
prof.checkpoint("CarInterface")
# did it request to enable?
enable_request, enable_condition = False, False
if enabled:
# gives the user 6 minutes
awareness_status -= 1.0 / (100 * 60 * 6)
if awareness_status <= 0.:
AM.add("driverDistracted", enabled)
# reset awareness status on steering
if CS.steeringPressed:
awareness_status = 1.0
# handle button presses
for b in CS.buttonEvents:
print b
# reset awareness on any user action
awareness_status = 1.0
# button presses for rear view
if b.type == "leftBlinker" or b.type == "rightBlinker":
if b.pressed:
rear_view_toggle = True
else:
rear_view_toggle = False
if b.type == "altButton1" and b.pressed:
rear_view_toggle = not rear_view_toggle
if not VP.brake_only and enabled and not b.pressed:
if b.type == "accelCruise":
v_cruise_kph = v_cruise_kph - (
v_cruise_kph % V_CRUISE_DELTA) + V_CRUISE_DELTA
elif b.type == "decelCruise":
v_cruise_kph = v_cruise_kph - (
v_cruise_kph % V_CRUISE_DELTA) - V_CRUISE_DELTA
v_cruise_kph = clip(v_cruise_kph, V_CRUISE_MIN, V_CRUISE_MAX)
if not enabled and b.type in ["accelCruise", "decelCruise"
] and not b.pressed:
enable_request = True
# do disable on button down
if b.type == "cancel" and b.pressed:
AM.add("disable", enabled)
prof.checkpoint("Buttons")
# *** health checking logic ***
hh = messaging.recv_sock(health)
if hh is not None:
# if the board isn't allowing controls but somehow we are enabled!
if not hh.health.controlsAllowed and enabled:
AM.add("controlsMismatch", enabled)
# *** thermal checking logic ***
# thermal data, checked every second
td = messaging.recv_sock(thermal)
if td is not None:
# Check temperature.
overtemp = any(t > 950 for t in (td.thermal.cpu0, td.thermal.cpu1,
td.thermal.cpu2, td.thermal.cpu3,
td.thermal.mem, td.thermal.gpu))
# under 15% of space free
free_space = td.thermal.freeSpace
prof.checkpoint("Health")
# *** getting model logic ***
PP.update(cur_time, CS.vEgo)
if rk.frame % 5 == 2:
# *** run this at 20hz again ***
angle_offset = learn_angle_offset(enabled, CS.vEgo, angle_offset,
np.asarray(PP.d_poly), LaC.y_des,
CS.steeringPressed)
# disable if the pedals are pressed while engaged, this is a user disable
if enabled:
if CS.gasPressed or CS.brakePressed:
AM.add("disable", enabled)
if enable_request:
# check for pressed pedals
if CS.gasPressed or CS.brakePressed:
AM.add("pedalPressed", enabled)
enable_request = False
else:
print "enabled pressed at", cur_time
last_enable_request = cur_time
# don't engage with less than 15% free
if free_space < 0.15:
AM.add("outOfSpace", enabled)
enable_request = False
if VP.brake_only:
enable_condition = ((cur_time - last_enable_request) <
0.2) and CS.cruiseState.enabled
else:
enable_condition = enable_request
if enable_request or enable_condition or enabled:
# add all alerts from car
for alert in CS.errors:
AM.add(alert, enabled)
if AC.dead:
AM.add("radarCommIssue", enabled)
if PP.dead:
AM.add("modelCommIssue", enabled)
if overtemp:
AM.add("overheat", enabled)
prof.checkpoint("Model")
if enable_condition and not enabled and not AM.alertPresent():
print "*** enabling controls"
# beep for enabling
AM.add("enable", enabled)
# enable both lateral and longitudinal controls
enabled = True
# on activation, let's always set v_cruise from where we are, even if PCM ACC is active
v_cruise_kph = int(
round(
max(CS.vEgo * CV.MS_TO_KPH * VP.ui_speed_fudge,
V_CRUISE_ENABLE_MIN)))
# 6 minutes driver you're on
awareness_status = 1.0
# reset the PID loops
LaC.reset()
# start long control at actual speed
LoC.reset(v_pid=CS.vEgo)
if VP.brake_only and CS.cruiseState.enabled:
v_cruise_kph = CS.cruiseState.speed * CV.MS_TO_KPH
# *** put the adaptive in adaptive cruise control ***
AC.update(cur_time, CS.vEgo, CS.steeringAngle, LoC.v_pid,
awareness_status, VP)
prof.checkpoint("AdaptiveCruise")
# *** gas/brake PID loop ***
final_gas, final_brake = LoC.update(enabled, CS.vEgo, v_cruise_kph,
AC.v_target_lead, AC.a_target,
AC.jerk_factor, VP)
# *** steering PID loop ***
final_steer, sat_flag = LaC.update(enabled, CS.vEgo, CS.steeringAngle,
CS.steeringPressed, PP.d_poly,
angle_offset, VP)
prof.checkpoint("PID")
# ***** handle alerts ****
# send a "steering required alert" if saturation count has reached the limit
if sat_flag:
AM.add("steerSaturated", enabled)
if enabled and AM.alertShouldDisable():
print "DISABLING IMMEDIATELY ON ALERT"
enabled = False
if enabled and AM.alertShouldSoftDisable():
if soft_disable_timer is None:
soft_disable_timer = 3 * rate
elif soft_disable_timer == 0:
print "SOFT DISABLING ON ALERT"
enabled = False
else:
soft_disable_timer -= 1
else:
soft_disable_timer = None
# *** push the alerts to current ***
alert_text_1, alert_text_2, visual_alert, audible_alert = AM.process_alerts(
cur_time)
# ***** control the car *****
CC = car.CarControl.new_message()
CC.enabled = enabled
CC.gas = float(final_gas)
CC.brake = float(final_brake)
CC.steeringTorque = float(final_steer)
CC.cruiseControl.override = True
CC.cruiseControl.cancel = bool(
(not VP.brake_only)
or (not enabled and CS.cruiseState.enabled
)) # always cancel if we have an interceptor
CC.cruiseControl.speedOverride = float((LoC.v_pid - .3) if (
VP.brake_only and final_brake == 0.) else 0.0)
CC.cruiseControl.accelOverride = float(AC.a_pcm)
CC.hudControl.setSpeed = float(v_cruise_kph * CV.KPH_TO_MS)
CC.hudControl.speedVisible = enabled
CC.hudControl.lanesVisible = enabled
CC.hudControl.leadVisible = bool(AC.has_lead)
CC.hudControl.visualAlert = visual_alert
CC.hudControl.audibleAlert = audible_alert
# this alert will apply next controls cycle
if not CI.apply(CC):
AM.add("controlsFailed", enabled)
prof.checkpoint("CarControl")
# ***** publish state to logger *****
# publish controls state at 100Hz
dat = messaging.new_message()
dat.init('live100')
# show rear view camera on phone if in reverse gear or when button is pressed
dat.live100.rearViewCam = ('reverseGear'
in CS.errors) or rear_view_toggle
dat.live100.alertText1 = alert_text_1
dat.live100.alertText2 = alert_text_2
dat.live100.awarenessStatus = max(awareness_status,
0.0) if enabled else 0.0
# what packets were used to process
dat.live100.canMonoTimes = list(CS.canMonoTimes)
dat.live100.mdMonoTime = PP.logMonoTime
dat.live100.l20MonoTime = AC.logMonoTime
# if controls is enabled
dat.live100.enabled = enabled
# car state
dat.live100.vEgo = CS.vEgo
dat.live100.angleSteers = CS.steeringAngle
dat.live100.steerOverride = CS.steeringPressed
# longitudinal control state
dat.live100.vPid = float(LoC.v_pid)
dat.live100.vCruise = float(v_cruise_kph)
dat.live100.upAccelCmd = float(LoC.Up_accel_cmd)
dat.live100.uiAccelCmd = float(LoC.Ui_accel_cmd)
# lateral control state
dat.live100.yActual = float(LaC.y_actual)
dat.live100.yDes = float(LaC.y_des)
dat.live100.upSteer = float(LaC.Up_steer)
dat.live100.uiSteer = float(LaC.Ui_steer)
# processed radar state, should add a_pcm?
dat.live100.vTargetLead = float(AC.v_target_lead)
dat.live100.aTargetMin = float(AC.a_target[0])
dat.live100.aTargetMax = float(AC.a_target[1])
dat.live100.jerkFactor = float(AC.jerk_factor)
# lag
dat.live100.cumLagMs = -rk.remaining * 1000.
live100.send(dat.to_bytes())
prof.checkpoint("Live100")
# *** run loop at fixed rate ***
if rk.keep_time():
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 __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', 'frontFrame',
'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
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("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)
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)
# 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 radard_thread(gctx=None):
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)
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 controlsd_thread(gctx=None, rate=100, default_bias=0.):
# start the loop
set_realtime_priority(3)
context = zmq.Context()
params = Params()
# pub
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)
livempc = messaging.pub_sock(context, service_list['liveMpc'].port)
passive = params.get("Passive") != "0"
if not passive:
sendcan = messaging.pub_sock(context, service_list['sendcan'].port)
else:
sendcan = None
# sub
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)
logcan = messaging.sub_sock(context, service_list['can'].port)
CC = car.CarControl.new_message()
CI, CP = get_car(logcan, sendcan, 1.0 if passive else None)
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.honda
fcw_enabled = params.get("IsFcwEnabled") == "1"
PL = Planner(CP, fcw_enabled)
LoC = LongControl(CP, CI.compute_gb)
VM = VehicleModel(CP)
LaC = LatControl(VM)
AM = AlertManager()
if not passive:
AM.add("startup", False)
# write CarParams
params.put("CarParams", CP.to_bytes())
state = State.disabled
soft_disable_timer = 0
v_cruise_kph = 255
overtemp = False
free_space = False
cal_status = Calibration.UNCALIBRATED
rear_view_toggle = False
rear_view_allowed = params.get("IsRearViewMirror") == "1"
# 0.0 - 1.0
awareness_status = 1.
v_cruise_kph_last = 0
rk = Ratekeeper(rate, print_delay_threshold=2./1000)
# learned angle offset
angle_offset = default_bias
calibration_params = params.get("CalibrationParams")
if calibration_params:
try:
calibration_params = json.loads(calibration_params)
angle_offset = calibration_params["angle_offset2"]
except (ValueError, KeyError):
pass
prof = Profiler(False) # off by default
while 1:
prof.checkpoint("Ratekeeper", ignore=True)
# sample data and compute car events
CS, events, cal_status, overtemp, free_space = data_sample(CI, CC, thermal, cal, health, poller, cal_status,
overtemp, free_space)
prof.checkpoint("Sample")
# define plan
plan, plan_ts = calc_plan(CS, CP, events, PL, LaC, LoC, v_cruise_kph, awareness_status)
prof.checkpoint("Plan")
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")
# compute actuators
actuators, v_cruise_kph, awareness_status, angle_offset, rear_view_toggle = state_control(plan, CS, CP, state, events, v_cruise_kph,
v_cruise_kph_last, AM, rk, awareness_status, PL, LaC, LoC, VM,
angle_offset, rear_view_allowed, rear_view_toggle, passive)
prof.checkpoint("State Control")
# publish data
CC = data_send(plan, plan_ts, CS, CI, CP, VM, state, events, actuators, v_cruise_kph,
rk, carstate, carcontrol, live100, livempc, AM, rear_view_allowed,
rear_view_toggle, awareness_status, LaC, LoC, angle_offset, passive)
prof.checkpoint("Sent")
# *** run loop at fixed rate ***
rk.keep_time()
prof.display()
class Plant(object):
messaging_initialized = False
def __init__(self,
lead_relevancy=False,
rate=100,
speed=0.0,
distance_lead=2.0):
self.rate = rate
self.brake_only = False
if not Plant.messaging_initialized:
context = zmq.Context()
Plant.logcan = messaging.pub_sock(context,
service_list['can'].port)
Plant.sendcan = messaging.sub_sock(context,
service_list['sendcan'].port)
Plant.model = messaging.pub_sock(context,
service_list['model'].port)
Plant.cal = messaging.pub_sock(
context, service_list['liveCalibration'].port)
Plant.live100 = messaging.sub_sock(context,
service_list['live100'].port)
Plant.plan = messaging.sub_sock(context, service_list['plan'].port)
Plant.messaging_initialized = True
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()
def close(self):
Plant.logcan.close()
Plant.model.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_dbc, 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_msgs = []
for a in messaging.drain_sock(Plant.sendcan):
can_msgs.extend(can_capnp_to_can_list(a.sendcan, [0, 2]))
self.cp.update_can(can_msgs)
# ******** get live100 messages for plotting ***
live100_msgs = []
for a in messaging.drain_sock(Plant.live100):
live100_msgs.append(a.live100)
fcw = None
for a in messaging.drain_sock(Plant.plan):
if a.plan.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.rk.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 = [
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,
0,
0,
0, # Doors
0,
0, # Blinkers
self.gear_choice,
speed != 0,
self.brake_error,
self.brake_error,
not self.seatbelt,
self.seatbelt, # Seatbelt
self.brake_pressed,
0.,
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
self.user_gas,
self.main_on,
0, # EPB State
0, # Brake hold
0, # Interceptor feedback
# 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]] = vls[i]
if "COUNTER" in honda.get_signals(msg):
msg_struct["COUNTER"] = self.rk.frame % 4
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)
can_msgs.append([msg, 0, msg_data, 0])
# add the radar message
# TODO: use the DBC
if self.rk.frame % 5 == 0:
radar_state_msg = '\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)) + \
"0f00000"
can_msgs.append([0x400, 0, radar_state_msg, 1])
can_msgs.append([0x445, 0, radar_msg.decode("hex"), 1])
Plant.logcan.send(can_list_to_can_capnp(can_msgs).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.rk.frame % 5 == 0:
md = messaging.new_message()
cal = messaging.new_message()
md.init('model')
cal.init('liveCalibration')
md.model.frameId = 0
for x in [md.model.path, md.model.leftLane, md.model.rightLane]:
x.points = [0.0] * 50
x.prob = 1.0
x.std = 1.0
md.model.lead.dist = float(d_rel)
md.model.lead.prob = 1.
md.model.lead.std = 0.1
cal.liveCalibration.calStatus = 1
cal.liveCalibration.calPerc = 100
# fake values?
Plant.model.send(md.to_bytes())
Plant.cal.send(cal.to_bytes())
# ******** update prevs ********
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
self.rk.keep_time()
return (distance, speed, acceleration, distance_lead, brake, gas,
steer_torque, fcw, live100_msgs)
def controlsd_thread(gctx, rate=100):
# start the loop
set_realtime_priority(2)
context = zmq.Context()
# pub
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)
sendcan = messaging.pub_sock(context, service_list['sendcan'].port)
livempc = messaging.pub_sock(context, service_list['liveMpc'].port)
# sub
thermal = messaging.sub_sock(context, service_list['thermal'].port)
health = messaging.sub_sock(context, service_list['health'].port)
cal = messaging.sub_sock(context, service_list['liveCalibration'].port)
logcan = messaging.sub_sock(context, service_list['can'].port)
CC = car.CarControl.new_message()
CI, CP = get_car(logcan, sendcan)
PL = Planner(CP)
LoC = LongControl(CI.compute_gb)
VM = VehicleModel(CP)
LaC = LatControl(VM)
AM = AlertManager()
# write CarParams
params = Params()
params.put("CarParams", CP.to_bytes())
state = State.DISABLED
soft_disable_timer = 0
v_cruise_kph = 255
cal_perc = 0
cal_status = Calibration.UNCALIBRATED
rear_view_toggle = False
rear_view_allowed = params.get("IsRearViewMirror") == "1"
# 0.0 - 1.0
awareness_status = 0.
rk = Ratekeeper(rate, print_delay_threshold=2./1000)
# learned angle offset
angle_offset = 0.
calibration_params = params.get("CalibrationParams")
if calibration_params:
try:
calibration_params = json.loads(calibration_params)
angle_offset = calibration_params["angle_offset"]
except (ValueError, KeyError):
pass
prof = Profiler()
while 1:
prof.reset() # avoid memory leak
# sample data and compute car events
CS, events, cal_status, cal_perc = data_sample(CI, CC, thermal, health, cal, cal_status, cal_perc)
prof.checkpoint("Sample")
# define plan
plan, plan_ts = calc_plan(CS, events, PL, LoC)
prof.checkpoint("Plan")
# update control state
state, soft_disable_timer, v_cruise_kph = state_transition(CS, CP, state, events, soft_disable_timer, v_cruise_kph, cal_perc, AM)
prof.checkpoint("State transition")
# compute actuators
actuators, v_cruise_kph, awareness_status, angle_offset, rear_view_toggle = state_control(plan, CS, CP, state, events, v_cruise_kph,
AM, rk, awareness_status, PL, LaC, LoC, VM, angle_offset,
rear_view_allowed, rear_view_toggle)
prof.checkpoint("State Control")
# publish data
CC = data_send(plan, plan_ts, CS, CI, CP, state, events, actuators, v_cruise_kph,
rk, carstate, carcontrol, live100, livempc, AM, rear_view_allowed,
rear_view_toggle, awareness_status, LaC, LoC, angle_offset)
prof.checkpoint("Sent")
# *** run loop at fixed rate ***
if rk.keep_time():
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" or CP.carName == "tesla"
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)
live100 = messaging.sub_sock(context, service_list['live100'].port, conflate=True, poller=poller)
MP = ModelParser()
RI = RadarInterface(CP)
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 ***
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=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:
dat.live20.leadOne = lead_clusters[0].toLive20()
if lead2_len > 0:
dat.live20.leadTwo = lead2_clusters[0].toLive20()
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 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()
def controlsd_thread(gctx=None, rate=100, default_bias=0.):
gc.disable()
# start the loop
set_realtime_priority(3)
context = zmq.Context()
params = Params()
# pub
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)
livempc = messaging.pub_sock(context, service_list['liveMpc'].port)
passive = params.get("Passive") != "0"
if not passive:
while 1:
try:
sendcan = messaging.pub_sock(context, service_list['sendcan'].port)
break
except zmq.error.ZMQError:
kill_defaultd()
else:
sendcan = None
# sub
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)
gps_location = messaging.sub_sock(context, service_list['gpsLocationExternal'].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, 1.0 if passive else None)
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
fcw_enabled = params.get("IsFcwEnabled") == "1"
geofence = None
try:
from selfdrive.controls.lib.geofence import Geofence
geofence = Geofence(params.get("IsGeofenceEnabled") == "1")
except ImportError:
# geofence not available
params.put("IsGeofenceEnabled", "-1")
PL = Planner(CP, fcw_enabled)
LoC = LongControl(CP, CI.compute_gb)
VM = VehicleModel(CP)
LaC = LatControl(VM)
AM = AlertManager()
driver_status = DriverStatus()
if not passive:
AM.add("startup", False)
# write CarParams
params.put("CarParams", CP.to_bytes())
state = State.disabled
soft_disable_timer = 0
v_cruise_kph = 255
v_cruise_kph_last = 0
overtemp = False
free_space = False
cal_status = Calibration.UNCALIBRATED
mismatch_counter = 0
rk = Ratekeeper(rate, print_delay_threshold=2./1000)
# learned angle offset
angle_offset = default_bias
calibration_params = params.get("CalibrationParams")
if calibration_params:
try:
calibration_params = json.loads(calibration_params)
angle_offset = calibration_params["angle_offset2"]
except (ValueError, KeyError):
pass
prof = Profiler(False) # off by default
while 1:
prof.checkpoint("Ratekeeper", ignore=True)
# sample data and compute car events
CS, events, cal_status, overtemp, free_space, mismatch_counter = data_sample(CI, CC, thermal, cal, health,
driver_monitor, gps_location, poller, cal_status, overtemp, free_space, driver_status, geofence, state, mismatch_counter, params)
prof.checkpoint("Sample")
# define plan
plan, plan_ts = calc_plan(CS, CP, events, PL, LaC, LoC, v_cruise_kph, driver_status, geofence)
prof.checkpoint("Plan")
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")
# compute actuators
actuators, v_cruise_kph, driver_status, angle_offset = state_control(plan, CS, CP, state, events, v_cruise_kph,
v_cruise_kph_last, AM, rk, driver_status, PL, LaC, LoC, VM, angle_offset, passive)
prof.checkpoint("State Control")
# publish data
CC = data_send(PL.perception_state, plan, plan_ts, CS, CI, CP, VM, state, events, actuators, v_cruise_kph, rk, carstate, carcontrol,
live100, livempc, AM, driver_status, LaC, LoC, angle_offset, passive)
prof.checkpoint("Sent")
# *** run loop at fixed rate ***
rk.keep_time()
prof.display()
def __init__(self, sm=None, pm=None, can_sock=None):
gc.disable()
set_realtime_priority(3)
# 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]
print("Waiting for CAN messages...")
messaging.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
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 = not os.path.isfile('/EON') or (os.path.isfile('/proc/asound/card0/state') \
and open('/proc/asound/card0/state').read().strip() == '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
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)
put_nonblocking("LongitudinalControl",
"1" if self.CP.openpilotLongitudinalControl else "0")
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.consecutive_can_error_count = 0
self.last_blinker_frame = 0
self.saturated_count = 0
self.events_prev = []
self.current_alert_types = []
self.sm['liveCalibration'].calStatus = Calibration.INVALID
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 self.read_only and not passive:
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
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', 'pandaState', '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
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 = get_car(self.can_sock, self.pm.sock['sendcan'],
has_relay)
# 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:
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)
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.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.curve_speed_ms = 255.
self.v_cruise_kph_limit = 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.v_target = 0.0
self.a_target = 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,
self.CP.fuzzyFingerprint,
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 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)
# 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.valid["pandaState"]:
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)
if log.PandaState.FaultType.relayMalfunction in self.sm[
'pandaState'].faults:
self.events.add(EventName.relayMalfunction)
if self.sm['longitudinalPlan'].fcw or (
self.enabled and self.sm['modelV2'].meta.hardBrakePredicted):
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 >= 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)
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.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
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) * 0.95
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.pcmCruise:
self.v_cruise_kph = update_v_cruise(self.v_cruise_kph,
CS.buttonEvents, self.enabled)
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()
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:
# Gas/Brake PID loop
actuators.gas, actuators.brake, self.v_target, self.a_target = self.LoC.update(
self.active, CS, self.CP, long_plan)
# 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:
gb = clip(self.sm['testJoystick'].axes[0], -1, 1)
actuators.gas, actuators.brake = max(gb, 0), max(-gb, 0)
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] < -0.115
right_deviation = actuators.steer < 0 and lat_plan.dPathPoints[
0] > 0.115
if left_deviation or right_deviation:
self.events.add(EventName.steerSaturated)
return actuators, lac_log
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.actuators = actuators
CC.cruiseControl.override = True
CC.cruiseControl.cancel = not self.CP.pcmCruise or (
not self.enabled and CS.cruiseState.enabled)
if self.joystick_mode and self.sm.rcv_frame[
'testJoystick'] > 0 and self.sm['testJoystick'].buttons[0]:
CC.cruiseControl.cancel = True
# TODO remove car specific stuff in controls
# 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.pcmCruise else 0.0)
CC.cruiseControl.accelOverride = float(
self.CI.calc_accel_override(CS.aEgo, self.a_target, CS.vEgo,
self.v_target))
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]
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_limit)
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")
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.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.cruise_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
}
# scc smoother
self.is_cruise_enabled = False
self.applyMaxSpeed = 0
self.apply_accel = 0.
self.fused_accel = 0.
self.lead_drel = 0.
self.aReqValue = 0.
self.aReqValueMin = 0.
self.aReqValueMax = 0.
self.sccStockCamStatus = 0
self.sccStockCamAct = 0
self.left_lane_visible = False
self.right_lane_visible = False
self.wide_camera = TICI and params.get_bool('EnableWideCamera')
self.disable_op_fcw = params.get_bool('DisableOpFcw')
# 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)
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()
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)
# TODO: enable this once loggerd CPU usage is more reasonable
#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)
elif self.sm['lateralPlan'].autoLaneChangeEnabled and self.sm[
'lateralPlan'].autoLaneChangeTimer > 0:
self.events.add(EventName.autoLaneChange)
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 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
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)
# Check for HW or system issues
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['liveParameters'].valid:
self.events.add(EventName.vehicleModelInvalid)
if not self.sm['lateralPlan'].mpcSolutionValid and not (
EventName.turningIndicatorOn in self.events.names):
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)
if not REPLAY:
# Check for mismatch between openpilot and car's PCM
cruise_mismatch = CS.cruiseState.enabledAcc 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(1. / DT_CTRL):
self.events.add(EventName.cruiseMismatch)
# Check for FCW
stock_long_is_braking = self.enabled and not self.CP.openpilotLongitudinalControl and CS.aEgo < -1.5
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 not self.disable_op_fcw and (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
if any(not ps.controlsAllowed and self.enabled
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
self.CP.pcmCruise = self.CI.CP.pcmCruise
# 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
SccSmoother.update_cruise_buttons(self, CS,
self.CP.openpilotLongitudinalControl)
# 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, 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 = int(0.5 / DT_CTRL)
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)
if ntune_common_enabled('useLiveSteerRatio'):
sr = max(params.steerRatio, 0.1)
else:
sr = max(ntune_common_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()
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 CS.cruiseState.enabledAcc:
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 and CS.cruiseState.enabledAcc, CS, self.CP,
long_plan, pid_accel_limits, self.sm['radarState'])
# Steering PID loop and lateral MPC
lat_active = self.active and not CS.steerWarning and not CS.steerError and CS.vEgo > self.CP.minSteerSpeed
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(
lat_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
# TODO use desired vs actual curvature
left_deviation = actuators.steer > 0 and lat_plan.dPathPoints[
0] < -0.20
right_deviation = actuators.steer < 0 and lat_plan.dPathPoints[
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, 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
if len(self.sm['liveLocationKalman'].orientationNED.value) > 2:
CC.roll = self.sm['liveLocationKalman'].orientationNED.value[0]
CC.pitch = self.sm['liveLocationKalman'].orientationNED.value[1]
CC.cruiseControl.cancel = self.CP.pcmCruise and not self.enabled and CS.cruiseState.enabled
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
if self.sm.frame % 100 == 0:
self.right_lane_visible = right_lane_visible
self.left_lane_visible = left_lane_visible
CC.hudControl.rightLaneVisible = self.right_lane_visible
CC.hudControl.leftLaneVisible = self.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_common_get(
"cameraOffset"
) + 0.08 if self.wide_camera else ntune_common_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 and self.initialized:
# send car controls over can
can_sends = self.CI.apply(CC, self)
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.applyMaxSpeed if self.CP.
openpilotLongitudinalControl else 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
controlsState.angleSteers = steer_angle_without_offset * CV.RAD_TO_DEG
controlsState.applyAccel = self.apply_accel
controlsState.aReqValue = self.aReqValue
controlsState.aReqValueMin = self.aReqValueMin
controlsState.aReqValueMax = self.aReqValueMax
controlsState.sccStockCamAct = self.sccStockCamAct
controlsState.sccStockCamStatus = self.sccStockCamStatus
controlsState.steerRatio = self.VM.sR
controlsState.steerRateCost = ntune_common_get('steerRateCost')
controlsState.steerActuatorDelay = ntune_common_get(
'steerActuatorDelay')
controlsState.sccGasFactor = ntune_scc_get('sccGasFactor')
controlsState.sccBrakeFactor = ntune_scc_get('sccBrakeFactor')
controlsState.sccCurvatureFactor = ntune_scc_get('sccCurvatureFactor')
controlsState.longitudinalActuatorDelayLowerBound = ntune_scc_get(
'longitudinalActuatorDelayLowerBound')
controlsState.longitudinalActuatorDelayUpperBound = ntune_scc_get(
'longitudinalActuatorDelayUpperBound')
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 InterBridge:
publishers = [
'thermal',
'controlsState',
'model',
'health',
'carState',
'carControl',
'plan',
'liveLocation',
'liveMpc',
'liveLongitudinalMpc',
'driverState',
'liveParameters',
'pathPlan',
'carParams',
'dMonitoringState',
'testJoystick',
]
def __init__(self, sm=None, pm=None, can_sock=None):
# Initialize received messages queue
self.msgs_queue = Queue()
# Setup sockets
self.pm = pm
if self.pm is None:
self.pm = messaging.PubMaster(['testJoystick'])
self.sm = sm
if self.sm is None:
self.sm = messaging.SubMaster(self.publishers)
self.rk = Ratekeeper(RATE, print_delay_threshold=None)
def sock_msg_received(self, client, server, msg):
self.msgs_queue.put(msg)
def sock_msg_send(self, msg):
pass
def step(self):
# Send msg from ZMQ to Socket, only if there are connected clients
if self.count_clients():
self.sm.update(0)
send_msg = {}
for publisher in self.publishers:
if self.sm.updated[publisher]:
send_msg[publisher] = self.sm[publisher].to_dict()
send_msg[publisher]['logMonoTime'] = self.sm.logMonoTime[
publisher]
# Hack, convert known bytes value to hex (bytes are not serializable)
if publisher == 'carParams' and send_msg[publisher][
'carFw']:
for idx, val in enumerate(
send_msg[publisher]['carFw']):
send_msg[publisher]['carFw'][idx][
'fwVersion'] = val['fwVersion'].hex()
if send_msg:
self.sock_msg_send(send_msg)
# Send msg from Socket to ZMQ (only testJoystick!)
while not self.msgs_queue.empty():
msg = self.msgs_queue.get()
if 'opEdit' in msg:
if 'loadRequest' in msg['opEdit']:
try:
with open(OP_PARAMS_PATH, 'r') as file:
data = file.read()
self.sock_msg_send({'opEdit': json.loads(data)})
except (FileNotFoundError, PermissionError):
self.sock_msg_send(
{'error': "File op_params.json not found."})
else:
try:
with open(OP_PARAMS_PATH, 'w') as file:
file.write(json.dumps(msg['opEdit'], indent=2))
except PermissionError:
self.sock_msg_send({
'error':
"Can't write op_params.json, not enough permissions."
})
elif 'testJoystick' in msg:
dat = messaging.new_message('testJoystick')
testJoystick = dat.testJoystick
testJoystick.axes = msg['testJoystick']['axes']
testJoystick.buttons = msg['testJoystick']['buttons']
testJoystick.enabled = msg['testJoystick']['enabled']
testJoystick.axesMode = msg['testJoystick']['axesMode']
self.pm.send('testJoystick', dat)
def interbridged_thread(self, count_callback):
self.count_clients = count_callback
while True:
self.step()
self.rk.keep_time()
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.cruise_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
}
# scc smoother
self.is_cruise_enabled = False
self.applyMaxSpeed = 0
self.apply_accel = 0.
self.fused_accel = 0.
self.lead_drel = 0.
self.aReqValue = 0.
self.aReqValueMin = 0.
self.aReqValueMax = 0.
self.sccStockCamStatus = 0
self.sccStockCamAct = 0
self.left_lane_visible = False
self.right_lane_visible = False
self.wide_camera = TICI and params.get_bool('EnableWideCamera')
self.disable_op_fcw = params.get_bool('DisableOpFcw')
# 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)
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
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.logcan = messaging.pub_sock('can')
Plant.sendcan = messaging.sub_sock('sendcan')
Plant.model = messaging.pub_sock('model')
Plant.live_params = messaging.pub_sock('liveParameters')
Plant.health = messaging.pub_sock('health')
Plant.thermal = messaging.pub_sock('thermal')
Plant.driverState = messaging.pub_sock('driverState')
Plant.cal = messaging.pub_sock('liveCalibration')
Plant.controls_state = messaging.sub_sock('controlsState')
Plant.plan = messaging.sub_sock('plan')
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()
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.plan.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())
driver_state = messaging.new_message('driverState')
driver_state.driverState.faceOrientation = [0.] * 3
driver_state.driverState.facePosition = [0.] * 2
Plant.driverState.send(driver_state.to_bytes())
health = messaging.new_message('health')
health.health.controlsAllowed = True
Plant.health.send(health.to_bytes())
thermal = messaging.new_message('thermal')
thermal.thermal.freeSpace = 1.
thermal.thermal.batteryPercent = 100
Plant.thermal.send(thermal.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('model')
cal = messaging.new_message('liveCalibration')
md.model.frameId = 0
for x in [md.model.path, md.model.leftLane, md.model.rightLane]:
x.points = [0.0] * 50
x.prob = 1.0
x.std = 1.0
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
md.model.lead.dist = float(d_rel)
md.model.lead.prob = prob
md.model.lead.relY = 0.0
md.model.lead.relYStd = 1.
md.model.lead.relVel = float(v_rel)
md.model.lead.relVelStd = 1.
md.model.lead.relA = 0.0
md.model.lead.relAStd = 10.
md.model.lead.std = 1.0
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())
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):
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', 'frontFrame',
'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
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("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)
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)
# 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)
if not self.sm.alive['frontFrame'] and (
self.sm.frame > 5 / DT_CTRL) and not SIMULATION:
self.events.add(EventName.cameraMalfunction)
# 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 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
# 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)
params.put("CarParamsCache", cp_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)
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
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)
internet_needed = params.get("Offroad_ConnectivityNeeded",
encoding='utf8') is not 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:
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]))
# 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 = \
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)
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()
def radard_thread(sm=None, pm=None, can_sock=None):
config_realtime_process(5 if TICI else 1 if JETSON else 2,
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
# *** 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 = True #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 controlsd_thread(gctx=None, rate=100, default_bias=0.):
gc.disable()
# start the loop
set_realtime_priority(3)
context = zmq.Context()
params = Params()
# Pub Sockets
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)
livempc = messaging.pub_sock(context, service_list['liveMpc'].port)
is_metric = params.get("IsMetric") == "1"
passive = params.get("Passive") != "0"
# 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)
gps_location = messaging.sub_sock(context, service_list['gpsLocationExternal'].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, 1.0 if passive else None)
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
# Get FCW toggle from settings
fcw_enabled = params.get("IsFcwEnabled") == "1"
geofence = None
PL = Planner(CP, fcw_enabled)
LoC = LongControl(CP, CI.compute_gb)
VM = VehicleModel(CP)
LaC = LatControl(CP)
AM = AlertManager()
driver_status = DriverStatus()
if not passive:
AM.add("startup", False)
# Write CarParams for radard and boardd safety mode
params.put("CarParams", CP.to_bytes())
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
rk = Ratekeeper(rate, print_delay_threshold=2./1000)
# Read angle offset from previous drive, fallback to default
angle_offset = default_bias
calibration_params = params.get("CalibrationParams")
if calibration_params:
try:
calibration_params = json.loads(calibration_params)
angle_offset = calibration_params["angle_offset2"]
except (ValueError, KeyError):
pass
prof = Profiler(False) # off by default
while True:
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, thermal, cal, health,
driver_monitor, gps_location, poller, cal_status, cal_perc, overtemp, free_space, low_battery, driver_status, geofence, state, mismatch_counter, params)
prof.checkpoint("Sample")
# Define longitudinal plan (MPC)
plan, plan_ts = calc_plan(CS, CP, events, PL, LaC, LoC, v_cruise_kph, driver_status, geofence)
prof.checkpoint("Plan")
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")
# Compute actuators (runs PID loops and lateral MPC)
actuators, v_cruise_kph, driver_status, angle_offset = state_control(plan, CS, CP, state, events, v_cruise_kph,
v_cruise_kph_last, AM, rk, driver_status, PL, LaC, LoC, VM, angle_offset, passive, is_metric, cal_perc)
prof.checkpoint("State Control")
# Publish data
CC = data_send(PL.perception_state, plan, plan_ts, CS, CI, CP, VM, state, events, actuators, v_cruise_kph, rk, carstate, carcontrol,
live100, livempc, AM, driver_status, LaC, LoC, angle_offset, passive)
prof.checkpoint("Sent")
rk.keep_time() # Run at 100Hz
prof.display()
def bridge(q):
# setup CARLA
client = carla.Client("127.0.0.1", 2000)
client.set_timeout(10.0)
world = client.load_world(args.town)
if args.low_quality:
world.unload_map_layer(carla.MapLayer.Foliage)
world.unload_map_layer(carla.MapLayer.Buildings)
world.unload_map_layer(carla.MapLayer.ParkedVehicles)
world.unload_map_layer(carla.MapLayer.Particles)
world.unload_map_layer(carla.MapLayer.Props)
world.unload_map_layer(carla.MapLayer.StreetLights)
blueprint_library = world.get_blueprint_library()
world_map = world.get_map()
vehicle_bp = blueprint_library.filter('vehicle.tesla.*')[1]
spawn_points = world_map.get_spawn_points()
assert len(spawn_points) > args.num_selected_spawn_point, \
f'''No spawn point {args.num_selected_spawn_point}, try a value between 0 and
{len(spawn_points)} for this town.'''
spawn_point = spawn_points[args.num_selected_spawn_point]
vehicle = world.spawn_actor(vehicle_bp, spawn_point)
max_steer_angle = vehicle.get_physics_control().wheels[0].max_steer_angle
# make tires less slippery
# wheel_control = carla.WheelPhysicsControl(tire_friction=5)
physics_control = vehicle.get_physics_control()
physics_control.mass = 2326
# physics_control.wheels = [wheel_control]*4
physics_control.torque_curve = [[20.0, 500.0], [5000.0, 500.0]]
physics_control.gear_switch_time = 0.0
vehicle.apply_physics_control(physics_control)
blueprint = blueprint_library.find('sensor.camera.rgb')
blueprint.set_attribute('image_size_x', str(W))
blueprint.set_attribute('image_size_y', str(H))
blueprint.set_attribute('fov', '70')
blueprint.set_attribute('sensor_tick', '0.05')
transform = carla.Transform(carla.Location(x=0.8, z=1.13))
camera = world.spawn_actor(blueprint, transform, attach_to=vehicle)
camera.listen(cam_callback)
# reenable IMU
imu_bp = blueprint_library.find('sensor.other.imu')
imu = world.spawn_actor(imu_bp, transform, attach_to=vehicle)
imu.listen(imu_callback)
def destroy():
print("clean exit")
imu.destroy()
camera.destroy()
vehicle.destroy()
print("done")
atexit.register(destroy)
vehicle_state = VehicleState()
# launch fake car threads
threading.Thread(target=panda_state_function).start()
threading.Thread(target=fake_driver_monitoring).start()
threading.Thread(target=fake_gps).start()
threading.Thread(target=can_function_runner, args=(vehicle_state,)).start()
# can loop
rk = Ratekeeper(100, print_delay_threshold=0.05)
# init
throttle_ease_out_counter = REPEAT_COUNTER
brake_ease_out_counter = REPEAT_COUNTER
steer_ease_out_counter = REPEAT_COUNTER
vc = carla.VehicleControl(throttle=0, steer=0, brake=0, reverse=False)
is_openpilot_engaged = False
throttle_out = steer_out = brake_out = 0
throttle_op = steer_op = brake_op = 0
throttle_manual = steer_manual = brake_manual = 0
old_steer = old_brake = old_throttle = 0
throttle_manual_multiplier = 0.7 #keyboard signal is always 1
brake_manual_multiplier = 0.7 #keyboard signal is always 1
steer_manual_multiplier = 45 * STEER_RATIO #keyboard signal is always 1
while 1:
# 1. Read the throttle, steer and brake from op or manual controls
# 2. Set instructions in Carla
# 3. Send current carstate to op via can
cruise_button = 0
throttle_out = steer_out = brake_out = 0
throttle_op = steer_op = brake_op = 0
throttle_manual = steer_manual = brake_manual = 0
# --------------Step 1-------------------------------
if not q.empty():
message = q.get()
m = message.split('_')
if m[0] == "steer":
steer_manual = float(m[1])
is_openpilot_engaged = False
if m[0] == "throttle":
throttle_manual = float(m[1])
is_openpilot_engaged = False
if m[0] == "brake":
brake_manual = float(m[1])
is_openpilot_engaged = False
if m[0] == "reverse":
#in_reverse = not in_reverse
cruise_button = CruiseButtons.CANCEL
is_openpilot_engaged = False
if m[0] == "cruise":
if m[1] == "down":
cruise_button = CruiseButtons.DECEL_SET
is_openpilot_engaged = True
if m[1] == "up":
cruise_button = CruiseButtons.RES_ACCEL
is_openpilot_engaged = True
if m[1] == "cancel":
cruise_button = CruiseButtons.CANCEL
is_openpilot_engaged = False
throttle_out = throttle_manual * throttle_manual_multiplier
steer_out = steer_manual * steer_manual_multiplier
brake_out = brake_manual * brake_manual_multiplier
#steer_out = steer_out
# steer_out = steer_rate_limit(old_steer, steer_out)
old_steer = steer_out
old_throttle = throttle_out
old_brake = brake_out
# print('message',old_throttle, old_steer, old_brake)
if is_openpilot_engaged:
sm.update(0)
throttle_op = sm['carControl'].actuators.gas #[0,1]
brake_op = sm['carControl'].actuators.brake #[0,1]
steer_op = sm['controlsState'].steeringAngleDesiredDeg # degrees [-180,180]
throttle_out = throttle_op
steer_out = steer_op
brake_out = brake_op
steer_out = steer_rate_limit(old_steer, steer_out)
old_steer = steer_out
else:
if throttle_out==0 and old_throttle>0:
if throttle_ease_out_counter>0:
throttle_out = old_throttle
throttle_ease_out_counter += -1
else:
throttle_ease_out_counter = REPEAT_COUNTER
old_throttle = 0
if brake_out==0 and old_brake>0:
if brake_ease_out_counter>0:
brake_out = old_brake
brake_ease_out_counter += -1
else:
brake_ease_out_counter = REPEAT_COUNTER
old_brake = 0
if steer_out==0 and old_steer!=0:
if steer_ease_out_counter>0:
steer_out = old_steer
steer_ease_out_counter += -1
else:
steer_ease_out_counter = REPEAT_COUNTER
old_steer = 0
# --------------Step 2-------------------------------
steer_carla = steer_out / (max_steer_angle * STEER_RATIO * -1)
steer_carla = np.clip(steer_carla, -1,1)
steer_out = steer_carla * (max_steer_angle * STEER_RATIO * -1)
old_steer = steer_carla * (max_steer_angle * STEER_RATIO * -1)
vc.throttle = throttle_out/0.6
vc.steer = steer_carla
vc.brake = brake_out
vehicle.apply_control(vc)
# --------------Step 3-------------------------------
vel = vehicle.get_velocity()
speed = math.sqrt(vel.x**2 + vel.y**2 + vel.z**2) # in m/s
vehicle_state.speed = speed
vehicle_state.angle = steer_out
vehicle_state.cruise_button = cruise_button
vehicle_state.is_engaged = is_openpilot_engaged
if rk.frame%PRINT_DECIMATION == 0:
print("frame: ", "engaged:", is_openpilot_engaged, "; throttle: ", round(vc.throttle, 3), "; steer(c/deg): ", round(vc.steer, 3), round(steer_out, 3), "; brake: ", round(vc.brake, 3))
rk.keep_time()
def _run(self, q: Queue):
client = connect_carla_client()
world = client.load_world(self._args.town)
settings = world.get_settings()
settings.synchronous_mode = True # Enables synchronous mode
settings.fixed_delta_seconds = 0.05
world.apply_settings(settings)
world.set_weather(carla.WeatherParameters.ClearSunset)
if not self._args.high_quality:
world.unload_map_layer(carla.MapLayer.Foliage)
world.unload_map_layer(carla.MapLayer.Buildings)
world.unload_map_layer(carla.MapLayer.ParkedVehicles)
world.unload_map_layer(carla.MapLayer.Props)
world.unload_map_layer(carla.MapLayer.StreetLights)
world.unload_map_layer(carla.MapLayer.Particles)
blueprint_library = world.get_blueprint_library()
world_map = world.get_map()
vehicle_bp = blueprint_library.filter('vehicle.tesla.*')[1]
spawn_points = world_map.get_spawn_points()
assert len(spawn_points) > self._args.num_selected_spawn_point, f'''No spawn point {self._args.num_selected_spawn_point}, try a value between 0 and
{len(spawn_points)} for this town.'''
spawn_point = spawn_points[self._args.num_selected_spawn_point]
vehicle = world.spawn_actor(vehicle_bp, spawn_point)
self._carla_objects.append(vehicle)
max_steer_angle = vehicle.get_physics_control().wheels[0].max_steer_angle
# make tires less slippery
# wheel_control = carla.WheelPhysicsControl(tire_friction=5)
physics_control = vehicle.get_physics_control()
physics_control.mass = 2326
# physics_control.wheels = [wheel_control]*4
physics_control.torque_curve = [[20.0, 500.0], [5000.0, 500.0]]
physics_control.gear_switch_time = 0.0
vehicle.apply_physics_control(physics_control)
transform = carla.Transform(carla.Location(x=0.8, z=1.13))
def create_camera(fov, callback):
blueprint = blueprint_library.find('sensor.camera.rgb')
blueprint.set_attribute('image_size_x', str(W))
blueprint.set_attribute('image_size_y', str(H))
blueprint.set_attribute('fov', str(fov))
if not self._args.high_quality:
blueprint.set_attribute('enable_postprocess_effects', 'False')
camera = world.spawn_actor(blueprint, transform, attach_to=vehicle)
camera.listen(callback)
return camera
self._camerad = Camerad()
if self._args.dual_camera:
road_camera = create_camera(fov=40, callback=self._camerad.cam_callback_road)
self._carla_objects.append(road_camera)
road_wide_camera = create_camera(fov=120, callback=self._camerad.cam_callback_wide_road) # fov bigger than 120 shows unwanted artifacts
self._carla_objects.append(road_wide_camera)
vehicle_state = VehicleState()
# reenable IMU
imu_bp = blueprint_library.find('sensor.other.imu')
imu = world.spawn_actor(imu_bp, transform, attach_to=vehicle)
imu.listen(lambda imu: imu_callback(imu, vehicle_state))
gps_bp = blueprint_library.find('sensor.other.gnss')
gps = world.spawn_actor(gps_bp, transform, attach_to=vehicle)
gps.listen(lambda gps: gps_callback(gps, vehicle_state))
self._carla_objects.extend([imu, gps])
# launch fake car threads
self._threads.append(threading.Thread(target=panda_state_function, args=(vehicle_state, self._exit_event,)))
self._threads.append(threading.Thread(target=peripheral_state_function, args=(self._exit_event,)))
self._threads.append(threading.Thread(target=fake_driver_monitoring, args=(self._exit_event,)))
self._threads.append(threading.Thread(target=can_function_runner, args=(vehicle_state, self._exit_event,)))
for t in self._threads:
t.start()
# init
throttle_ease_out_counter = REPEAT_COUNTER
brake_ease_out_counter = REPEAT_COUNTER
steer_ease_out_counter = REPEAT_COUNTER
vc = carla.VehicleControl(throttle=0, steer=0, brake=0, reverse=False)
is_openpilot_engaged = False
throttle_out = steer_out = brake_out = 0.
throttle_op = steer_op = brake_op = 0.
throttle_manual = steer_manual = brake_manual = 0.
old_steer = old_brake = old_throttle = 0.
throttle_manual_multiplier = 0.7 # keyboard signal is always 1
brake_manual_multiplier = 0.7 # keyboard signal is always 1
steer_manual_multiplier = 45 * STEER_RATIO # keyboard signal is always 1
# Simulation tends to be slow in the initial steps. This prevents lagging later
for _ in range(20):
world.tick()
# loop
rk = Ratekeeper(100, print_delay_threshold=0.05)
while self._keep_alive:
# 1. Read the throttle, steer and brake from op or manual controls
# 2. Set instructions in Carla
# 3. Send current carstate to op via can
cruise_button = 0
throttle_out = steer_out = brake_out = 0.0
throttle_op = steer_op = brake_op = 0.0
throttle_manual = steer_manual = brake_manual = 0.0
# --------------Step 1-------------------------------
if not q.empty():
message = q.get()
m = message.split('_')
if m[0] == "steer":
steer_manual = float(m[1])
is_openpilot_engaged = False
elif m[0] == "throttle":
throttle_manual = float(m[1])
is_openpilot_engaged = False
elif m[0] == "brake":
brake_manual = float(m[1])
is_openpilot_engaged = False
elif m[0] == "reverse":
cruise_button = CruiseButtons.CANCEL
is_openpilot_engaged = False
elif m[0] == "cruise":
if m[1] == "down":
cruise_button = CruiseButtons.DECEL_SET
is_openpilot_engaged = True
elif m[1] == "up":
cruise_button = CruiseButtons.RES_ACCEL
is_openpilot_engaged = True
elif m[1] == "cancel":
cruise_button = CruiseButtons.CANCEL
is_openpilot_engaged = False
elif m[0] == "ignition":
vehicle_state.ignition = not vehicle_state.ignition
elif m[0] == "quit":
break
throttle_out = throttle_manual * throttle_manual_multiplier
steer_out = steer_manual * steer_manual_multiplier
brake_out = brake_manual * brake_manual_multiplier
old_steer = steer_out
old_throttle = throttle_out
old_brake = brake_out
if is_openpilot_engaged:
sm.update(0)
# TODO gas and brake is deprecated
throttle_op = clip(sm['carControl'].actuators.accel / 1.6, 0.0, 1.0)
brake_op = clip(-sm['carControl'].actuators.accel / 4.0, 0.0, 1.0)
steer_op = sm['carControl'].actuators.steeringAngleDeg
throttle_out = throttle_op
steer_out = steer_op
brake_out = brake_op
steer_out = steer_rate_limit(old_steer, steer_out)
old_steer = steer_out
else:
if throttle_out == 0 and old_throttle > 0:
if throttle_ease_out_counter > 0:
throttle_out = old_throttle
throttle_ease_out_counter += -1
else:
throttle_ease_out_counter = REPEAT_COUNTER
old_throttle = 0
if brake_out == 0 and old_brake > 0:
if brake_ease_out_counter > 0:
brake_out = old_brake
brake_ease_out_counter += -1
else:
brake_ease_out_counter = REPEAT_COUNTER
old_brake = 0
if steer_out == 0 and old_steer != 0:
if steer_ease_out_counter > 0:
steer_out = old_steer
steer_ease_out_counter += -1
else:
steer_ease_out_counter = REPEAT_COUNTER
old_steer = 0
# --------------Step 2-------------------------------
steer_carla = steer_out / (max_steer_angle * STEER_RATIO * -1)
steer_carla = np.clip(steer_carla, -1, 1)
steer_out = steer_carla * (max_steer_angle * STEER_RATIO * -1)
old_steer = steer_carla * (max_steer_angle * STEER_RATIO * -1)
vc.throttle = throttle_out / 0.6
vc.steer = steer_carla
vc.brake = brake_out
vehicle.apply_control(vc)
# --------------Step 3-------------------------------
vel = vehicle.get_velocity()
speed = math.sqrt(vel.x ** 2 + vel.y ** 2 + vel.z ** 2) # in m/s
vehicle_state.speed = speed
vehicle_state.vel = vel
vehicle_state.angle = steer_out
vehicle_state.cruise_button = cruise_button
vehicle_state.is_engaged = is_openpilot_engaged
if rk.frame % PRINT_DECIMATION == 0:
print("frame: ", "engaged:", is_openpilot_engaged, "; throttle: ", round(vc.throttle, 3), "; steer(c/deg): ",
round(vc.steer, 3), round(steer_out, 3), "; brake: ", round(vc.brake, 3))
if rk.frame % 5 == 0:
world.tick()
rk.keep_time()
self.started = True