def plannerd_thread():
gc.disable()
# start the loop
set_realtime_priority(2)
params = Params()
# Get FCW toggle from settings
fcw_enabled = params.get("IsFcwEnabled") == "1"
cloudlog.info("plannerd is waiting for CarParams")
CP = car.CarParams.from_bytes(Params().get("CarParams", block=True))
cloudlog.info("plannerd got CarParams: %s", CP.carName)
PL = Planner(CP, fcw_enabled)
PP = PathPlanner(CP)
VM = VehicleModel(CP)
sm = messaging.SubMaster(
['carState', 'controlsState', 'radarState', 'model', 'liveParameters'])
sm['liveParameters'].valid = True
sm['liveParameters'].sensorValid = True
sm['liveParameters'].steerRatio = CP.steerRatio
sm['liveParameters'].stiffnessFactor = 1.0
while True:
sm.update()
if sm.updated['model']:
PP.update(sm, CP, VM)
if sm.updated['radarState']:
PL.update(sm, CP, VM, PP)
def plannerd_thread(sm=None, pm=None):
config_realtime_process(2, Priority.CTRL_LOW)
cloudlog.info("plannerd is waiting for CarParams")
CP = car.CarParams.from_bytes(Params().get("CarParams", block=True))
cloudlog.info("plannerd got CarParams: %s", CP.carName)
PL = Planner(CP)
PP = PathPlanner(CP)
VM = VehicleModel(CP)
if sm is None:
sm = messaging.SubMaster(['carState', 'controlsState', 'radarState', 'model', 'liveParameters', 'modelLongButton'],
poll=['radarState', 'model'])
if pm is None:
pm = messaging.PubMaster(['plan', 'liveLongitudinalMpc', 'pathPlan', 'liveMpc'])
sm['liveParameters'].valid = True
sm['liveParameters'].sensorValid = True
sm['liveParameters'].steerRatio = CP.steerRatio
sm['liveParameters'].stiffnessFactor = 1.0
while True:
sm.update()
if sm.updated['model']:
PP.update(sm, pm, CP, VM)
if sm.updated['radarState']:
PL.update(sm, pm, CP, VM, PP)
def __init__(self, gctx, rate=100):
self.rate = rate
# *** log ***
context = zmq.Context()
# pub
self.live100 = messaging.pub_sock(context, service_list['live100'].port)
self.carstate = messaging.pub_sock(context, service_list['carState'].port)
self.carcontrol = messaging.pub_sock(context, service_list['carControl'].port)
sendcan = messaging.pub_sock(context, service_list['sendcan'].port)
# sub
self.thermal = messaging.sub_sock(context, service_list['thermal'].port)
self.health = messaging.sub_sock(context, service_list['health'].port)
logcan = messaging.sub_sock(context, service_list['can'].port)
self.cal = messaging.sub_sock(context, service_list['liveCalibration'].port)
self.CC = car.CarControl.new_message()
self.CI, self.CP = get_car(logcan, sendcan)
self.PL = Planner(self.CP)
self.AM = AlertManager()
self.LoC = LongControl()
self.LaC = LatControl()
# write CarParams
params = Params()
params.put("CarParams", self.CP.to_bytes())
# fake plan
self.plan_ts = 0
self.plan = log.Plan.new_message()
self.plan.lateralValid = False
self.plan.longitudinalValid = False
# controls enabled state
self.enabled = False
self.last_enable_request = 0
# learned angle offset
self.angle_offset = 0
# rear view camera state
self.rear_view_toggle = False
self.rear_view_allowed = bool(params.get("IsRearViewMirror"))
self.v_cruise_kph = 255
# 0.0 - 1.0
self.awareness_status = 1.0
self.soft_disable_timer = None
self.overtemp = False
self.free_space = 1.0
self.cal_status = Calibration.UNCALIBRATED
self.cal_perc = 0
self.rk = Ratekeeper(self.rate, print_delay_threshold=2./1000)
def plannerd_thread():
context = zmq.Context()
params = Params()
# Get FCW toggle from settings
fcw_enabled = params.get("IsFcwEnabled") == "1"
cloudlog.info("plannerd is waiting for CarParams")
CP = car.CarParams.from_bytes(Params().get("CarParams", block=True))
cloudlog.info("plannerd got CarParams: %s", CP.carName)
PL = Planner(CP, fcw_enabled)
PP = PathPlanner(CP)
VM = VehicleModel(CP)
poller = zmq.Poller()
car_state_sock = messaging.sub_sock(context, service_list['carState'].port, conflate=True, poller=poller)
live100_sock = messaging.sub_sock(context, service_list['live100'].port, conflate=True, poller=poller)
live20_sock = messaging.sub_sock(context, service_list['live20'].port, conflate=True, poller=poller)
model_sock = messaging.sub_sock(context, service_list['model'].port, conflate=True, poller=poller)
live_map_data_sock = messaging.sub_sock(context, service_list['liveMapData'].port, conflate=True, poller=poller)
live_parameters_sock = messaging.sub_sock(context, service_list['liveParameters'].port, conflate=True, poller=poller)
car_state = messaging.new_message()
car_state.init('carState')
live100 = messaging.new_message()
live100.init('live100')
model = messaging.new_message()
model.init('model')
live20 = messaging.new_message()
live20.init('live20')
live_map_data = messaging.new_message()
live_map_data.init('liveMapData')
live_parameters = messaging.new_message()
live_parameters.init('liveParameters')
live_parameters.liveParameters.valid = True
live_parameters.liveParameters.steerRatio = CP.steerRatio
live_parameters.liveParameters.stiffnessFactor = 1.0
while True:
for socket, event in poller.poll():
if socket is live100_sock:
live100 = messaging.recv_one(socket)
elif socket is car_state_sock:
car_state = messaging.recv_one(socket)
elif socket is live_parameters_sock:
live_parameters = messaging.recv_one(socket)
elif socket is model_sock:
model = messaging.recv_one(socket)
PP.update(CP, VM, car_state, model, live100, live_parameters)
elif socket is live_map_data_sock:
live_map_data = messaging.recv_one(socket)
elif socket is live20_sock:
live20 = messaging.recv_one(socket)
PL.update(car_state, CP, VM, PP, live20, live100, model, live_map_data)
def plannerd_thread(sm=None, pm=None, arne_sm=None):
gc.disable()
# start the loop
set_realtime_priority(52)
cloudlog.info("plannerd is waiting for CarParams")
CP = car.CarParams.from_bytes(Params().get("CarParams", block=True))
cloudlog.info("plannerd got CarParams: %s", CP.carName)
PL = Planner(CP)
PP = PathPlanner(CP)
VM = VehicleModel(CP)
if sm is None:
sm = messaging.SubMaster([
'carState', 'controlsState', 'radarState', 'model',
'liveParameters', 'liveMapData'
])
if arne_sm is None:
arne_sm = messaging_arne.SubMaster(
['arne182Status', 'latControl', 'modelLongButton'])
if pm is None:
pm = messaging.PubMaster(
['plan', 'liveLongitudinalMpc', 'pathPlan', 'liveMpc'])
sm['liveParameters'].valid = True
sm['liveParameters'].sensorValid = True
sm['liveParameters'].steerRatio = CP.steerRatio
sm['liveParameters'].stiffnessFactor = 1.0
while True:
sm.update()
arne_sm.update(0)
if sm.updated['model']:
PP.update(sm, pm, CP, VM)
if sm.updated['radarState']:
PL.update(sm, pm, CP, VM, PP, arne_sm)
def plannerd_thread(sm=None, pm=None):
gc.disable()
# start the loop
set_realtime_priority(52)
cloudlog.info("plannerd is waiting for CarParams")
CP = car.CarParams.from_bytes(Params().get("CarParams", block=True))
cloudlog.info("plannerd got CarParams: %s", CP.carName)
PL = Planner(CP)
PP = PathPlanner(CP)
VM = VehicleModel(CP)
if sm is None:
sm = messaging.SubMaster([
'carState', 'controlsState', 'radarState', 'model',
'liveParameters', 'dragonConf'
])
if pm is None:
pm = messaging.PubMaster(
['plan', 'liveLongitudinalMpc', 'pathPlan', 'liveMpc'])
sm['liveParameters'].valid = True
sm['liveParameters'].sensorValid = True
sm['liveParameters'].steerRatio = CP.steerRatio
sm['liveParameters'].stiffnessFactor = 1.0
sm['dragonConf'].dpSlowOnCurve = False
sm['dragonConf'].dpAccelProfile = 0
while True:
sm.update()
if sm.updated['model']:
PP.update(sm, pm, CP, VM)
if sm.updated['radarState']:
PL.update(sm, pm, CP, VM, PP)
def controlsd_thread(gctx, rate=100):
# start the loop
set_realtime_priority(2)
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
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, 1.0 if passive else None)
if CI is None:
if passive:
return
else:
raise Exception("unsupported car")
if passive:
CP.safetyModel = car.CarParams.SafetyModels.noOutput
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.
rk = Ratekeeper(rate, print_delay_threshold=2./1000)
# learned angle offset
angle_offset = 1.5 # Default model bias
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, overtemp, free_space = data_sample(CI, CC, thermal, health, cal, cal_status,
overtemp, free_space)
prof.checkpoint("Sample")
# define plan
plan, plan_ts = calc_plan(CS, events, PL, LoC, v_cruise_kph, awareness_status)
prof.checkpoint("Plan")
if not passive:
# update control state
state, soft_disable_timer, v_cruise_kph = 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,
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, passive)
prof.checkpoint("Sent")
# *** run loop at fixed rate ***
if rk.keep_time():
prof.display()
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)
is_metric = params.get("IsMetric") == "1"
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
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.INVALID
cal_perc = 0
mismatch_counter = 0
low_battery = False
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, 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 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,
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")
# *** run loop at fixed rate ***
rk.keep_time()
prof.display()
class Controls(object):
def __init__(self, gctx, rate=100):
self.rate = rate
# *** log ***
context = zmq.Context()
# pub
self.live100 = messaging.pub_sock(context, service_list['live100'].port)
self.carstate = messaging.pub_sock(context, service_list['carState'].port)
self.carcontrol = messaging.pub_sock(context, service_list['carControl'].port)
sendcan = messaging.pub_sock(context, service_list['sendcan'].port)
# sub
self.thermal = messaging.sub_sock(context, service_list['thermal'].port)
self.health = messaging.sub_sock(context, service_list['health'].port)
logcan = messaging.sub_sock(context, service_list['can'].port)
self.cal = messaging.sub_sock(context, service_list['liveCalibration'].port)
self.CC = car.CarControl.new_message()
self.CI, self.CP = get_car(logcan, sendcan)
self.PL = Planner(self.CP)
self.AM = AlertManager()
self.LoC = LongControl()
self.LaC = LatControl()
# write CarParams
params = Params()
params.put("CarParams", self.CP.to_bytes())
# fake plan
self.plan_ts = 0
self.plan = log.Plan.new_message()
self.plan.lateralValid = False
self.plan.longitudinalValid = False
# controls enabled state
self.enabled = False
self.last_enable_request = 0
# learned angle offset
self.angle_offset = 0
# rear view camera state
self.rear_view_toggle = False
self.rear_view_allowed = bool(params.get("IsRearViewMirror"))
self.v_cruise_kph = 255
# 0.0 - 1.0
self.awareness_status = 1.0
self.soft_disable_timer = None
self.overtemp = False
self.free_space = 1.0
self.cal_status = Calibration.UNCALIBRATED
self.cal_perc = 0
self.rk = Ratekeeper(self.rate, print_delay_threshold=2./1000)
def data_sample(self):
self.prof = Profiler()
self.cur_time = sec_since_boot()
# first read can and compute car states
self.CS = self.CI.update()
self.prof.checkpoint("CarInterface")
# *** thermal checking logic ***
# thermal data, checked every second
td = messaging.recv_sock(self.thermal)
if td is not None:
# Check temperature.
self.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
self.free_space = td.thermal.freeSpace
# read calibration status
cal = messaging.recv_sock(self.cal)
if cal is not None:
self.cal_status = cal.liveCalibration.calStatus
self.cal_perc = cal.liveCalibration.calPerc
def state_transition(self):
pass # for now
def state_control(self):
# did it request to enable?
enable_request, enable_condition = False, False
# reset awareness status on steering
if self.CS.steeringPressed or not self.enabled:
self.awareness_status = 1.0
elif self.enabled:
# gives the user 6 minutes
self.awareness_status -= 1.0/(self.rate * AWARENESS_TIME)
if self.awareness_status <= 0.:
self.AM.add("driverDistracted", self.enabled)
elif self.awareness_status <= AWARENESS_PRE_TIME / AWARENESS_TIME and \
self.awareness_status >= (AWARENESS_PRE_TIME - 0.1) / AWARENESS_TIME:
self.AM.add("preDriverDistracted", self.enabled)
# handle button presses
for b in self.CS.buttonEvents:
print b
# button presses for rear view
if b.type == "leftBlinker" or b.type == "rightBlinker":
if b.pressed and self.rear_view_allowed:
self.rear_view_toggle = True
else:
self.rear_view_toggle = False
if b.type == "altButton1" and b.pressed:
self.rear_view_toggle = not self.rear_view_toggle
if not self.CP.enableCruise and self.enabled and not b.pressed:
if b.type == "accelCruise":
self.v_cruise_kph -= (self.v_cruise_kph % V_CRUISE_DELTA) - V_CRUISE_DELTA
elif b.type == "decelCruise":
self.v_cruise_kph -= (self.v_cruise_kph % V_CRUISE_DELTA) + V_CRUISE_DELTA
self.v_cruise_kph = clip(self.v_cruise_kph, V_CRUISE_MIN, V_CRUISE_MAX)
if not self.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:
self.AM.add("disable", self.enabled)
self.prof.checkpoint("Buttons")
# *** health checking logic ***
hh = messaging.recv_sock(self.health)
if hh is not None:
# if the board isn't allowing controls but somehow we are enabled!
# TODO: this should be in state transition with a function follower logic
if not hh.health.controlsAllowed and self.enabled:
self.AM.add("controlsMismatch", self.enabled)
# disable if the pedals are pressed while engaged, this is a user disable
if self.enabled:
if self.CS.gasPressed or self.CS.brakePressed or not self.CS.cruiseState.available:
self.AM.add("disable", self.enabled)
# it can happen that car cruise disables while comma system is enabled: need to
# keep braking if needed or if the speed is very low
# TODO: for the Acura, cancellation below 25mph is normal. Issue a non loud alert
if self.CP.enableCruise and not self.CS.cruiseState.enabled and \
(self.CC.brake <= 0. or self.CS.vEgo < 0.3):
self.AM.add("cruiseDisabled", self.enabled)
if enable_request:
# check for pressed pedals
if self.CS.gasPressed or self.CS.brakePressed:
self.AM.add("pedalPressed", self.enabled)
enable_request = False
else:
print "enabled pressed at", self.cur_time
self.last_enable_request = self.cur_time
# don't engage with less than 15% free
if self.free_space < 0.15:
self.AM.add("outOfSpace", self.enabled)
enable_request = False
if self.CP.enableCruise:
enable_condition = ((self.cur_time - self.last_enable_request) < 0.2) and self.CS.cruiseState.enabled
else:
enable_condition = enable_request
print "=============="
print enable_condition
if self.CP.enableCruise and self.CS.cruiseState.enabled:
self.v_cruise_kph = self.CS.cruiseState.speed * CV.MS_TO_KPH
self.prof.checkpoint("AdaptiveCruise")
# *** what's the plan ***
plan_packet = self.PL.update(self.CS, self.LoC)
#print "============"
#print plan_packet
self.plan = plan_packet.plan
self.plan_ts = plan_packet.logMonoTime
# if user is not responsive to awareness alerts, then start a smooth deceleration
if self.awareness_status < -0.:
self.plan.aTargetMax = min(self.plan.aTargetMax, AWARENESS_DECEL)
self.plan.aTargetMin = min(self.plan.aTargetMin, self.plan.aTargetMax)
if enable_request or enable_condition or self.enabled:
# add all alerts from car
for alert in self.CS.errors:
self.AM.add(alert, self.enabled)
if not self.plan.longitudinalValid:
self.AM.add("radarCommIssue", self.enabled)
if self.cal_status != Calibration.CALIBRATED:
if self.cal_status == Calibration.UNCALIBRATED:
self.AM.add("calibrationInProgress", self.enabled, str(self.cal_perc) + '%')
else:
self.AM.add("calibrationInvalid", self.enabled)
if not self.plan.lateralValid:
# If the model is not broadcasting, assume that it is because
# the user has uploaded insufficient data for calibration.
# Other cases that would trigger this are rare and unactionable by the user.
self.AM.add("dataNeeded", self.enabled)
if self.overtemp:
self.AM.add("overheat", self.enabled)
# *** angle offset learning ***
if self.rk.frame % 5 == 2 and self.plan.lateralValid:
# *** run this at 20hz again ***
self.angle_offset = learn_angle_offset(self.enabled, self.CS.vEgo, self.angle_offset,
self.plan.dPoly, self.LaC.y_des, self.CS.steeringPressed)
# *** gas/brake PID loop ***
final_gas, final_brake = self.LoC.update(self.enabled, self.CS.vEgo, self.v_cruise_kph,
self.plan.vTarget,
[self.plan.aTargetMin, self.plan.aTargetMax],
self.plan.jerkFactor, self.CP)
# *** steering PID loop ***
final_steer, sat_flag = self.LaC.update(self.enabled, self.CS.vEgo, self.CS.steeringAngle,
self.CS.steeringPressed, self.plan.dPoly, self.angle_offset, self.CP)
self.prof.checkpoint("PID")
# ***** handle alerts ****
# send FCW alert if triggered by planner
if self.plan.fcw:
self.AM.add("fcw", self.enabled)
# send a "steering required alert" if saturation count has reached the limit
if sat_flag:
self.AM.add("steerSaturated", self.enabled)
if self.enabled and self.AM.alertShouldDisable():
print "DISABLING IMMEDIATELY ON ALERT"
self.enabled = False
if self.enabled and self.AM.alertShouldSoftDisable():
if self.soft_disable_timer is None:
self.soft_disable_timer = 3 * self.rate
elif self.soft_disable_timer == 0:
print "SOFT DISABLING ON ALERT"
self.enabled = False
else:
self.soft_disable_timer -= 1
else:
self.soft_disable_timer = None
if enable_condition and not self.enabled and not self.AM.alertPresent():
print "*** enabling controls"
# beep for enabling
self.AM.add("enable", self.enabled)
# enable both lateral and longitudinal controls
self.enabled = True
# on activation, let's always set v_cruise from where we are, even if PCM ACC is active
self.v_cruise_kph = int(round(max(self.CS.vEgo * CV.MS_TO_KPH, V_CRUISE_ENABLE_MIN)))
# 6 minutes driver you're on
self.awareness_status = 1.0
# reset the PID loops
self.LaC.reset()
# start long control at actual speed
self.LoC.reset(v_pid = self.CS.vEgo)
# *** push the alerts to current ***
# TODO: remove output, store them inside AM class instead
self.alert_text_1, self.alert_text_2, self.visual_alert, self.audible_alert = self.AM.process_alerts(self.cur_time)
# ***** control the car *****
self.CC.enabled = self.enabled
self.CC.gas = float(final_gas)
self.CC.brake = float(final_brake)
self.CC.steeringTorque = float(final_steer)
self.CC.cruiseControl.override = True
# always cancel if we have an interceptor
self.CC.cruiseControl.cancel = bool(not self.CP.enableCruise or
(not self.enabled and self.CS.cruiseState.enabled))
# brake discount removes a sharp nonlinearity
brake_discount = (1.0 - clip(final_brake*3., 0.0, 1.0))
self.CC.cruiseControl.speedOverride = float(max(0.0, ((self.LoC.v_pid - .5) * brake_discount)) if self.CP.enableCruise else 0.0)
#CC.cruiseControl.accelOverride = float(AC.a_pcm)
# TODO: fix this
self.CC.cruiseControl.accelOverride = float(1.0)
self.CC.hudControl.setSpeed = float(self.v_cruise_kph * CV.KPH_TO_MS)
self.CC.hudControl.speedVisible = self.enabled
self.CC.hudControl.lanesVisible = self.enabled
self.CC.hudControl.leadVisible = self.plan.hasLead
self.CC.hudControl.visualAlert = self.visual_alert
self.CC.hudControl.audibleAlert = self.audible_alert
# TODO: remove it from here and put it in state_transition
# this alert will apply next controls cycle
if not self.CI.apply(self.CC):
self.AM.add("controlsFailed", self.enabled)
def data_send(self):
# broadcast carControl first
cc_send = messaging.new_message()
cc_send.init('carControl')
cc_send.carControl = copy(self.CC)
self.carcontrol.send(cc_send.to_bytes())
self.prof.checkpoint("CarControl")
# broadcast carState
cs_send = messaging.new_message()
cs_send.init('carState')
cs_send.carState = copy(self.CS)
self.carstate.send(cs_send.to_bytes())
# ***** 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 self.CS.errors and self.rear_view_allowed) or self.rear_view_toggle
dat.live100.alertText1 = self.alert_text_1
dat.live100.alertText2 = self.alert_text_2
dat.live100.awarenessStatus = max(self.awareness_status, 0.0) if self.enabled else 0.0
# what packets were used to process
dat.live100.canMonoTimes = list(self.CS.canMonoTimes)
dat.live100.planMonoTime = self.plan_ts
# if controls is enabled
dat.live100.enabled = self.enabled
# car state
dat.live100.vEgo = self.CS.vEgo
dat.live100.angleSteers = self.CS.steeringAngle
dat.live100.steerOverride = self.CS.steeringPressed
# longitudinal control state
dat.live100.vPid = float(self.LoC.v_pid)
dat.live100.vCruise = float(self.v_cruise_kph)
dat.live100.upAccelCmd = float(self.LoC.Up_accel_cmd)
dat.live100.uiAccelCmd = float(self.LoC.Ui_accel_cmd)
# lateral control state
dat.live100.yActual = float(self.LaC.y_actual)
dat.live100.yDes = float(self.LaC.y_des)
dat.live100.upSteer = float(self.LaC.Up_steer)
dat.live100.uiSteer = float(self.LaC.Ui_steer)
# processed radar state, should add a_pcm?
dat.live100.vTargetLead = float(self.plan.vTarget)
dat.live100.aTargetMin = float(self.plan.aTargetMin)
dat.live100.aTargetMax = float(self.plan.aTargetMax)
dat.live100.jerkFactor = float(self.plan.jerkFactor)
# log learned angle offset
dat.live100.angleOffset = float(self.angle_offset)
# lag
dat.live100.cumLagMs = -self.rk.remaining*1000.
self.live100.send(dat.to_bytes())
self.prof.checkpoint("Live100")
def wait(self):
# *** run loop at fixed rate ***
if self.rk.keep_time():
self.prof.display()
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)
is_metric = params.get("IsMetric") == "1"
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
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.INVALID
cal_perc = 0
mismatch_counter = 0
low_battery = False
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
# Setup for real-time tuning
rt_tuning_file = '/data/.openpilot_rtt_params.pkl'
rtt_params = {}
last_mod_time = 0
while 1:
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 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,
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")
###################### Real-Time Tuning Add-on ########################
# TODO: Move this into it's own function to clean things up
# TODO: Need to delay until fingerprint, or is this after already?
# Run this once per second... on frame 29, of course.
if rk.frame % 100 == 29:
# Get the last update time of our real-time tuning file
#print('Real-Time Tuning: Checking tuning file modification time.')
try:
mod_time = os.path.getmtime(rt_tuning_file)
#print('RTT mod_time: {0}'.format(mod_time))
except OSError:
# File doesn't exist or is inaccessible
mod_time = None
print(
'Real-Time Tuning: RT_TUNING_FILE did not exist or was inaccessible.'
)
# If rt_tuning_file doesn't exist, then create it from the current CarParams:
if mod_time is None:
rtt_params['steerKpBP'] = list(
CP.steerKpBP
) # Note that the Kp/Ki are lists! But if you reference them directly they are <capnp list builder []>.. oops.
rtt_params['steerKpV'] = list(CP.steerKpV)
rtt_params['steerKiBP'] = list(CP.steerKiBP)
rtt_params['steerKiV'] = list(CP.steerKiV)
rtt_params['steerKf'] = CP.steerKf
# TODO: Give the option to link the front and rear tire stiffness changes together
rtt_params['tireStiffnessFront'] = CP.tireStiffnessFront
rtt_params['tireStiffnessRear'] = CP.tireStiffnessRear
rtt_params['steerRatio'] = CP.steerRatio
rtt_params['steerRateCost'] = CP.steerRateCost
rtt_params['latPidDeadzone'] = 0.0
rtt_params['steerActuatorDelay'] = CP.steerActuatorDelay
# rtt_params['Camera Offset'] = PL.PP.cam_offset
# Write the pickle file
# TODO: try/except the open
with open(rt_tuning_file, "wb") as f_write:
pickle.dump(
rtt_params, f_write,
-1) # Dump to file with highest protocol (fastest)
# No need to update next time if we just wrote the file out...
last_mod_time = os.path.getmtime(rt_tuning_file)
#print('RTT Last_mod_time: {0}'.format(last_mod_time))
# If file exists and has been updated since the last time we read it in
elif last_mod_time != mod_time:
print(
'Real-Time Tuning: Reading in the modified tuning file.')
# Read in parameters from file
# TODO: try/except the open
with open(rt_tuning_file, "rb") as f_read:
rtt_params = pickle.load(f_read)
# Sanity check the data before setting it.. format is [min, max, failsafe]
# Failsafe is used if a value is not found or if the value sent is out of the range limits
rt_data_limits = {
'steerKpBP': [0.0, 67.0, 0.0],
'steerKpV': [0.0, 1.0, 0.2],
'steerKiBP': [0.0, 67.0, 0.0],
'steerKiV': [0.0, 1.0, 0.05],
'steerKf': [0.0, 0.001, 0.00005],
'tireStiffnessFront': [20000, 1000000, 192150],
'tireStiffnessRear': [20000, 1000000, 202500],
'steerRatio': [8.0, 25.0, 14.0],
'steerRateCost': [0.05, 1.0, 0.5],
'latPidDeadzone': [0.0, 4.0, 0.0],
'steerActuatorDelay': [0.0, 0.5, 0.1]
# 'Camera Offset': [ -0.2, 0.2, 0.06 ]
}
# Do the checks and set the values
for key in rt_data_limits:
rt_val = rtt_params.get(key)
if rt_val is None:
# If this key from data limits doesn't exist in our tuning data, then add it as the failsafe
# TODO: Use CP value here instead of failsafe?
rtt_params[key] = rt_data_limits[key][2]
print(
'Real-Time Tuning: Value did not exist in tuning file, replaced with failsafe. Key: '
+ key)
continue
# If it does exist, then check the values. First see if it's a list
try:
# If it's an iterable list...
for i, val2 in enumerate(rt_val):
# Check each value in the list
if (val2 < rt_data_limits[key][0]) or (
val2 > rt_data_limits[key][1]):
rt_val[i] = rt_data_limits[key][2]
print(
'Real-Time Tuning: Invalid value replaced! Key: '
+ key)
except:
# Not interable, compare it and fix if necessary
if (rt_val < rt_data_limits[key][0]) or (
rt_val > rt_data_limits[key][1]):
rt_val = rt_data_limits[key][2]
print(
'Real-Time Tuning: Invalid value replaced! Key: '
+ key)
# Set it back so if anything was fixed we have the updated value
rtt_params[key] = rt_val
# Update CP with the new params
CP.steerKpBP = rtt_params['steerKpBP']
CP.steerKpV = rtt_params['steerKpV']
CP.steerKiBP = rtt_params['steerKiBP']
CP.steerKiV = rtt_params['steerKiV']
CP.steerKf = rtt_params['steerKf']
CP.tireStiffnessFront = rtt_params['tireStiffnessFront']
CP.tireStiffnessRear = rtt_params['tireStiffnessRear']
CP.steerRatio = rtt_params['steerRatio']
CP.steerActuatorDelay = rtt_params['steerActuatorDelay']
if CP.steerRateCost != rtt_params['steerRateCost']:
print(CP.steerRateCost)
print(rtt_params['steerRateCost'])
CP.steerRateCost = rtt_params['steerRateCost']
rt_mpc_flag = True
print(
'Real-Time Tuning: CP.steerRateCost changed - Re-initializing lateral MPC.'
)
else:
rt_mpc_flag = False
# TODO: try/except the open
# Write the pickle file back so if we fixed any data errors the revised values will show up on the client-side
with open(rt_tuning_file, "wb") as f_write:
pickle.dump(
rtt_params, f_write,
-1) # Dump to file with highest protocol (fastest)
# Set the last modified time to this write.... we don't need to read back in what we just wrote out
# Only set this if we were able to successfully make the write (once the try/except is added)
last_mod_time = os.path.getmtime(rt_tuning_file)
# Make updates in latcontrol, etc. I'm not sure if this is actually necessary, depends on if the objects are referenced or not. Anyway, one less thing to debug atm.
VM.update_rt_params(CP)
LaC.update_rt_params(VM,
rt_mpc_flag,
deadzone=rtt_params['latPidDeadzone'])
#PL.PP.update_rt_params(rtt_params['Camera Offset'])
#print('RTT Last_mod_time: {0}'.format(last_mod_time))
####### END OF REAL-TIME TUNING ADD-ON #######
# *** run loop at fixed rate ***
rk.keep_time()
prof.display()
def plannerd_thread():
gc.disable()
# start the loop
set_realtime_priority(2)
context = zmq.Context()
params = Params()
# Get FCW toggle from settings
fcw_enabled = params.get("IsFcwEnabled") == "1"
cloudlog.info("plannerd is waiting for CarParams")
CP = car.CarParams.from_bytes(Params().get("CarParams", block=True))
cloudlog.info("plannerd got CarParams: %s", CP.carName)
PL = Planner(CP, fcw_enabled)
PP = PathPlanner(CP)
VM = VehicleModel(CP)
poller = zmq.Poller()
car_state_sock = messaging.sub_sock(context, service_list['carState'].port, conflate=True, poller=poller)
controls_state_sock = messaging.sub_sock(context, service_list['controlsState'].port, conflate=True, poller=poller)
radar_state_sock = messaging.sub_sock(context, service_list['radarState'].port, conflate=True, poller=poller)
model_sock = messaging.sub_sock(context, service_list['model'].port, conflate=True, poller=poller)
live_parameters_sock = messaging.sub_sock(context, service_list['liveParameters'].port, conflate=True, poller=poller)
# live_map_data_sock = messaging.sub_sock(context, service_list['liveMapData'].port, conflate=True, poller=poller)
car_state = messaging.new_message()
car_state.init('carState')
controls_state = messaging.new_message()
controls_state.init('controlsState')
model = messaging.new_message()
model.init('model')
radar_state = messaging.new_message()
radar_state.init('radarState')
live_map_data = messaging.new_message()
live_map_data.init('liveMapData')
live_parameters = messaging.new_message()
live_parameters.init('liveParameters')
live_parameters.liveParameters.valid = True
live_parameters.liveParameters.sensorValid = True
live_parameters.liveParameters.steerRatio = CP.steerRatio
live_parameters.liveParameters.stiffnessFactor = 1.0
rcv_times = defaultdict(int)
while True:
for socket, event in poller.poll():
msg = messaging.recv_one(socket)
rcv_times[msg.which()] = sec_since_boot()
if socket is controls_state_sock:
controls_state = msg
elif socket is car_state_sock:
car_state = msg
elif socket is live_parameters_sock:
live_parameters = msg
elif socket is model_sock:
model = msg
PP.update(rcv_times, CP, VM, car_state, model, controls_state, live_parameters)
elif socket is radar_state_sock:
radar_state = msg
PL.update(rcv_times, car_state, CP, VM, PP, radar_state, controls_state, model, live_map_data)
