openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for over 200 supported car makes and models.
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#!/usr/bin/env python3
import math
from typing import SupportsFloat
from cereal import car, log
import cereal.messaging as messaging
from openpilot.common.conversions import Conversions as CV
from openpilot.common.params import Params
from openpilot.common.realtime import config_realtime_process, Priority, Ratekeeper
from openpilot.common.swaglog import cloudlog
from opendbc.car.car_helpers import get_car_interface
from opendbc.car.vehicle_model import VehicleModel
from openpilot.selfdrive.controls.lib.drive_helpers import clip_curvature
from openpilot.selfdrive.controls.lib.latcontrol import LatControl, MIN_LATERAL_CONTROL_SPEED
from openpilot.selfdrive.controls.lib.latcontrol_pid import LatControlPID
from openpilot.selfdrive.controls.lib.latcontrol_angle import LatControlAngle, STEER_ANGLE_SATURATION_THRESHOLD
from openpilot.selfdrive.controls.lib.latcontrol_torque import LatControlTorque
from openpilot.selfdrive.controls.lib.longcontrol import LongControl
from openpilot.selfdrive.locationd.helpers import PoseCalibrator, Pose
State = log.SelfdriveState.OpenpilotState
LaneChangeState = log.LaneChangeState
LaneChangeDirection = log.LaneChangeDirection
ACTUATOR_FIELDS = tuple(car.CarControl.Actuators.schema.fields.keys())
class Controls:
def __init__(self) -> None:
self.params = Params()
cloudlog.info("controlsd is waiting for CarParams")
self.CP = messaging.log_from_bytes(self.params.get("CarParams", block=True), car.CarParams)
cloudlog.info("controlsd got CarParams")
self.CI = get_car_interface(self.CP)
self.sm = messaging.SubMaster(['liveParameters', 'liveTorqueParameters', 'modelV2', 'selfdriveState',
'liveCalibration', 'livePose', 'longitudinalPlan', 'carState', 'carOutput',
'driverMonitoringState', 'onroadEvents', 'driverAssistance'], poll='selfdriveState')
self.pm = messaging.PubMaster(['carControl', 'controlsState'])
self.steer_limited_by_controls = False
self.desired_curvature = 0.0
self.pose_calibrator = PoseCalibrator()
self.calibrated_pose: Pose | None = None
self.LoC = LongControl(self.CP)
self.VM = VehicleModel(self.CP)
self.LaC: LatControl
if self.CP.steerControlType == car.CarParams.SteerControlType.angle:
self.LaC = LatControlAngle(self.CP, self.CI)
elif self.CP.lateralTuning.which() == 'pid':
self.LaC = LatControlPID(self.CP, self.CI)
elif self.CP.lateralTuning.which() == 'torque':
self.LaC = LatControlTorque(self.CP, self.CI)
def update(self):
self.sm.update(15)
if self.sm.updated["liveCalibration"]:
self.pose_calibrator.feed_live_calib(self.sm['liveCalibration'])
if self.sm.updated["livePose"]:
device_pose = Pose.from_live_pose(self.sm['livePose'])
self.calibrated_pose = self.pose_calibrator.build_calibrated_pose(device_pose)
def state_control(self):
CS = self.sm['carState']
# Update VehicleModel
lp = self.sm['liveParameters']
x = max(lp.stiffnessFactor, 0.1)
sr = max(lp.steerRatio, 0.1)
self.VM.update_params(x, sr)
# Update Torque Params
if self.CP.lateralTuning.which() == 'torque':
torque_params = self.sm['liveTorqueParameters']
if self.sm.all_checks(['liveTorqueParameters']) and torque_params.useParams:
self.LaC.update_live_torque_params(torque_params.latAccelFactorFiltered, torque_params.latAccelOffsetFiltered,
torque_params.frictionCoefficientFiltered)
long_plan = self.sm['longitudinalPlan']
model_v2 = self.sm['modelV2']
CC = car.CarControl.new_message()
CC.enabled = self.sm['selfdriveState'].enabled
# Check which actuators can be enabled
standstill = abs(CS.vEgo) <= max(self.CP.minSteerSpeed, MIN_LATERAL_CONTROL_SPEED) or CS.standstill
CC.latActive = self.sm['selfdriveState'].active and not CS.steerFaultTemporary and not CS.steerFaultPermanent and not standstill
CC.longActive = CC.enabled and not any(e.overrideLongitudinal for e in self.sm['onroadEvents']) and self.CP.openpilotLongitudinalControl
actuators = CC.actuators
actuators.longControlState = self.LoC.long_control_state
# Enable blinkers while lane changing
if model_v2.meta.laneChangeState != LaneChangeState.off:
CC.leftBlinker = model_v2.meta.laneChangeDirection == LaneChangeDirection.left
CC.rightBlinker = model_v2.meta.laneChangeDirection == LaneChangeDirection.right
if not CC.latActive:
self.LaC.reset()
if not CC.longActive:
self.LoC.reset()
# accel PID loop
pid_accel_limits = self.CI.get_pid_accel_limits(self.CP, CS.vEgo, CS.vCruise * CV.KPH_TO_MS)
actuators.accel = float(self.LoC.update(CC.longActive, CS, long_plan.aTarget, long_plan.shouldStop, pid_accel_limits))
# Steering PID loop and lateral MPC
self.desired_curvature, curvature_limited = clip_curvature(CS.vEgo, self.desired_curvature, model_v2.action.desiredCurvature, lp.roll)
actuators.curvature = self.desired_curvature
steer, steeringAngleDeg, lac_log = self.LaC.update(CC.latActive, CS, self.VM, lp,
self.steer_limited_by_controls, self.desired_curvature,
self.calibrated_pose, curvature_limited) # TODO what if not available
actuators.torque = float(steer)
actuators.steeringAngleDeg = float(steeringAngleDeg)
# Ensure no NaNs/Infs
for p in ACTUATOR_FIELDS:
attr = getattr(actuators, p)
if not isinstance(attr, SupportsFloat):
continue
if not math.isfinite(attr):
cloudlog.error(f"actuators.{p} not finite {actuators.to_dict()}")
setattr(actuators, p, 0.0)
return CC, lac_log
def publish(self, CC, lac_log):
CS = self.sm['carState']
# Orientation and angle rates can be useful for carcontroller
# Only calibrated (car) frame is relevant for the carcontroller
if self.calibrated_pose is not None:
CC.orientationNED = self.calibrated_pose.orientation.xyz.tolist()
CC.angularVelocity = self.calibrated_pose.angular_velocity.xyz.tolist()
CC.cruiseControl.override = CC.enabled and not CC.longActive and self.CP.openpilotLongitudinalControl
CC.cruiseControl.cancel = CS.cruiseState.enabled and (not CC.enabled or not self.CP.pcmCruise)
speeds = self.sm['longitudinalPlan'].speeds
if len(speeds):
CC.cruiseControl.resume = CC.enabled and CS.cruiseState.standstill and speeds[-1] > 0.1
hudControl = CC.hudControl
hudControl.setSpeed = float(CS.vCruiseCluster * CV.KPH_TO_MS)
hudControl.speedVisible = CC.enabled
hudControl.lanesVisible = CC.enabled
hudControl.leadVisible = self.sm['longitudinalPlan'].hasLead
hudControl.leadDistanceBars = self.sm['selfdriveState'].personality.raw + 1
hudControl.visualAlert = self.sm['selfdriveState'].alertHudVisual
hudControl.rightLaneVisible = True
hudControl.leftLaneVisible = True
if self.sm.valid['driverAssistance']:
hudControl.leftLaneDepart = self.sm['driverAssistance'].leftLaneDeparture
hudControl.rightLaneDepart = self.sm['driverAssistance'].rightLaneDeparture
if self.sm['selfdriveState'].active:
CO = self.sm['carOutput']
if self.CP.steerControlType == car.CarParams.SteerControlType.angle:
self.steer_limited_by_controls = abs(CC.actuators.steeringAngleDeg - CO.actuatorsOutput.steeringAngleDeg) > \
STEER_ANGLE_SATURATION_THRESHOLD
else:
self.steer_limited_by_controls = abs(CC.actuators.torque - CO.actuatorsOutput.torque) > 1e-2
# TODO: both controlsState and carControl valids should be set by
# sm.all_checks(), but this creates a circular dependency
# controlsState
dat = messaging.new_message('controlsState')
dat.valid = CS.canValid
cs = dat.controlsState
lp = self.sm['liveParameters']
steer_angle_without_offset = math.radians(CS.steeringAngleDeg - lp.angleOffsetDeg)
cs.curvature = -self.VM.calc_curvature(steer_angle_without_offset, CS.vEgo, lp.roll)
cs.longitudinalPlanMonoTime = self.sm.logMonoTime['longitudinalPlan']
cs.lateralPlanMonoTime = self.sm.logMonoTime['modelV2']
cs.desiredCurvature = self.desired_curvature
cs.longControlState = self.LoC.long_control_state
cs.upAccelCmd = float(self.LoC.pid.p)
cs.uiAccelCmd = float(self.LoC.pid.i)
cs.ufAccelCmd = float(self.LoC.pid.f)
cs.forceDecel = bool((self.sm['driverMonitoringState'].awarenessStatus < 0.) or
(self.sm['selfdriveState'].state == State.softDisabling))
lat_tuning = self.CP.lateralTuning.which()
if self.CP.steerControlType == car.CarParams.SteerControlType.angle:
cs.lateralControlState.angleState = lac_log
elif lat_tuning == 'pid':
cs.lateralControlState.pidState = lac_log
elif lat_tuning == 'torque':
cs.lateralControlState.torqueState = lac_log
self.pm.send('controlsState', dat)
# carControl
cc_send = messaging.new_message('carControl')
cc_send.valid = CS.canValid
cc_send.carControl = CC
self.pm.send('carControl', cc_send)
def run(self):
rk = Ratekeeper(100, print_delay_threshold=None)
while True:
self.update()
CC, lac_log = self.state_control()
self.publish(CC, lac_log)
rk.monitor_time()
def main():
config_realtime_process(4, Priority.CTRL_HIGH)
controls = Controls()
controls.run()
if __name__ == "__main__":
main()