277 lines
12 KiB
Python
277 lines
12 KiB
Python
#!/usr/bin/env python3
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import math
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from typing import SupportsFloat
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from cereal import car, log
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import cereal.messaging as messaging
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from openpilot.common.conversions import Conversions as CV
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from openpilot.common.params import Params
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from openpilot.common.realtime import config_realtime_process, Priority, Ratekeeper
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from openpilot.common.swaglog import cloudlog
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import numpy as np
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from opendbc.car.car_helpers import get_car_interface
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from openpilot.selfdrive.controls.lib.drive_helpers import clip_curvature, get_lag_adjusted_curvature
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from openpilot.selfdrive.controls.lib.latcontrol import LatControl, MIN_LATERAL_CONTROL_SPEED
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from openpilot.selfdrive.controls.lib.latcontrol_pid import LatControlPID
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from openpilot.selfdrive.controls.lib.latcontrol_angle import LatControlAngle, STEER_ANGLE_SATURATION_THRESHOLD
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from openpilot.selfdrive.controls.lib.latcontrol_torque import LatControlTorque
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from openpilot.selfdrive.controls.lib.longcontrol import LongControl
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from openpilot.selfdrive.controls.lib.vehicle_model import VehicleModel
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from openpilot.common.realtime import DT_CTRL, DT_MDL
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from openpilot.selfdrive.modeld.constants import ModelConstants
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from openpilot.selfdrive.controls.lib.drive_helpers import CONTROL_N
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State = log.SelfdriveState.OpenpilotState
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LaneChangeState = log.LaneChangeState
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LaneChangeDirection = log.LaneChangeDirection
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ACTUATOR_FIELDS = tuple(car.CarControl.Actuators.schema.fields.keys())
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class Controls:
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def __init__(self) -> None:
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self.params = Params()
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cloudlog.info("controlsd is waiting for CarParams")
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self.CP = messaging.log_from_bytes(self.params.get("CarParams", block=True), car.CarParams)
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cloudlog.info("controlsd got CarParams")
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self.CI = get_car_interface(self.CP)
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self.disable_dm = False
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self.sm = messaging.SubMaster(['liveParameters', 'liveTorqueParameters', 'modelV2', 'selfdriveState',
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'liveCalibration', 'liveLocationKalman', 'longitudinalPlan', 'carState', 'carOutput',
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'carrotMan', 'lateralPlan', 'radarState',
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'driverMonitoringState', 'onroadEvents', 'driverAssistance'], poll='selfdriveState')
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self.pm = messaging.PubMaster(['carControl', 'controlsState'])
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self.steer_limited = False
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self.desired_curvature = 0.0
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self.LoC = LongControl(self.CP)
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self.VM = VehicleModel(self.CP)
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self.LaC: LatControl
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if self.CP.steerControlType == car.CarParams.SteerControlType.angle:
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self.LaC = LatControlAngle(self.CP, self.CI)
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elif self.CP.lateralTuning.which() == 'pid':
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self.LaC = LatControlPID(self.CP, self.CI)
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elif self.CP.lateralTuning.which() == 'torque':
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self.LaC = LatControlTorque(self.CP, self.CI)
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def update(self):
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self.sm.update(15)
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def state_control(self):
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CS = self.sm['carState']
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# Update VehicleModel
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lp = self.sm['liveParameters']
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x = max(lp.stiffnessFactor, 0.1)
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sr = max(lp.steerRatio, 0.1) * self.params.get_float("SteerRatioRate") / 100.0
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custom_sr = self.params.get_float("CustomSR") / 10.0
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sr = max(custom_sr if custom_sr > 1.0 else sr, 0.1)
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self.VM.update_params(x, sr)
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# Update Torque Params
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if self.CP.lateralTuning.which() == 'torque':
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torque_params = self.sm['liveTorqueParameters']
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if self.sm.all_checks(['liveTorqueParameters']) and torque_params.useParams:
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self.LaC.update_live_torque_params(torque_params.latAccelFactorFiltered, torque_params.latAccelOffsetFiltered,
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torque_params.frictionCoefficientFiltered)
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long_plan = self.sm['longitudinalPlan']
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model_v2 = self.sm['modelV2']
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CC = car.CarControl.new_message()
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CC.enabled = self.sm['selfdriveState'].enabled
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# carrot
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gear = car.CarState.GearShifter
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driving_gear = CS.gearShifter not in (gear.neutral, gear.park, gear.reverse, gear.unknown)
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lateral_enabled = driving_gear
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#self.soft_hold_active = CS.softHoldActive #car.OnroadEvent.EventName.softHold in [e.name for e in self.sm['onroadEvents']]
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# Check which actuators can be enabled
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standstill = abs(CS.vEgo) <= max(self.CP.minSteerSpeed, MIN_LATERAL_CONTROL_SPEED) or CS.standstill
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CC.latActive = ((self.sm['selfdriveState'].active or lateral_enabled) and CS.latEnabled and
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not CS.steerFaultTemporary and not CS.steerFaultPermanent and not standstill)
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CC.longActive = CC.enabled and not any(e.overrideLongitudinal for e in self.sm['onroadEvents']) and self.CP.openpilotLongitudinalControl
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actuators = CC.actuators
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actuators.longControlState = self.LoC.long_control_state
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# Enable blinkers while lane changing
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if model_v2.meta.laneChangeState != LaneChangeState.off:
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CC.leftBlinker = model_v2.meta.laneChangeDirection == LaneChangeDirection.left
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CC.rightBlinker = model_v2.meta.laneChangeDirection == LaneChangeDirection.right
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if not CC.latActive:
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self.LaC.reset()
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if not CC.longActive:
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self.LoC.reset()
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# accel PID loop
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pid_accel_limits = self.CI.get_pid_accel_limits(self.CP, CS.vEgo, CS.vCruise * CV.KPH_TO_MS)
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t_since_plan = (self.sm.frame - self.sm.recv_frame['longitudinalPlan']) * DT_CTRL
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accel, aTargetNow, jerk = self.LoC.update(CC.longActive, CS, long_plan, pid_accel_limits, t_since_plan)
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actuators.accel = float(accel)
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actuators.aTargetNow = float(aTargetNow)
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actuators.jerk = float(jerk)
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# Steering PID loop and lateral MPC
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lat_plan = self.sm['lateralPlan']
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curve_speed_abs = abs(self.sm['carrotMan'].vTurnSpeed)
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self.lanefull_mode_enabled = (lat_plan.useLaneLines and self.params.get_int("UseLaneLineSpeedApply") > 0 and
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curve_speed_abs > self.params.get_int("UseLaneLineCurveSpeed"))
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steer_actuator_delay = self.params.get_float("SteerActuatorDelay") * 0.01
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if self.params.get_bool("CarrotLatControl"):
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desired_curvature = get_lag_adjusted_curvature(self.CP, CS.vEgo, lat_plan.psis, lat_plan.curvatures, steer_actuator_delay)
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self.desired_curvature = clip_curvature(CS.vEgo, self.desired_curvature, desired_curvature)
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else:
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if self.lanefull_mode_enabled:
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desired_curvature = get_lag_adjusted_curvature(self.CP, CS.vEgo, lat_plan.psis, lat_plan.curvatures, steer_actuator_delay)
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self.desired_curvature = clip_curvature(CS.vEgo, self.desired_curvature, desired_curvature)
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else:
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self.desired_curvature = clip_curvature(CS.vEgo, self.desired_curvature, model_v2.action.desiredCurvature)
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actuators.curvature = float(self.desired_curvature)
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steer, steeringAngleDeg, lac_log = self.LaC.update(CC.latActive, CS, self.VM, lp,
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self.steer_limited, self.desired_curvature,
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self.sm['liveLocationKalman']) # TODO what if not available
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actuators.steer = float(steer)
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actuators.steeringAngleDeg = float(steeringAngleDeg)
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# Ensure no NaNs/Infs
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for p in ACTUATOR_FIELDS:
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attr = getattr(actuators, p)
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if not isinstance(attr, SupportsFloat):
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continue
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if not math.isfinite(attr):
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cloudlog.error(f"actuators.{p} not finite {actuators.to_dict()}")
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setattr(actuators, p, 0.0)
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return CC, lac_log
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def publish(self, CC, lac_log):
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CS = self.sm['carState']
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# Orientation and angle rates can be useful for carcontroller
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# Only calibrated (car) frame is relevant for the carcontroller
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orientation_value = list(self.sm['liveLocationKalman'].calibratedOrientationNED.value)
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if len(orientation_value) > 2:
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CC.orientationNED = orientation_value
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angular_rate_value = list(self.sm['liveLocationKalman'].angularVelocityCalibrated.value)
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if len(angular_rate_value) > 2:
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CC.angularVelocity = angular_rate_value
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CC.cruiseControl.override = CC.enabled and not CC.longActive and self.CP.openpilotLongitudinalControl
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CC.cruiseControl.cancel = CS.cruiseState.enabled and (not CC.enabled or not self.CP.pcmCruise)
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desired_kph = min(CS.vCruiseCluster, self.sm['carrotMan'].desiredSpeed)
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setSpeed = float(desired_kph * CV.KPH_TO_MS)
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speeds = self.sm['longitudinalPlan'].speeds
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if len(speeds):
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CC.cruiseControl.resume = CC.enabled and CS.cruiseState.standstill and speeds[-1] > 0.1
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vCluRatio = CS.vCluRatio if CS.vCluRatio > 0.5 else 1.0
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setSpeed = speeds[-1] / vCluRatio
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hudControl = CC.hudControl
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hudControl.activeCarrot = self.sm['carrotMan'].activeCarrot
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lp = self.sm['longitudinalPlan']
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if self.CP.pcmCruise:
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speed_from_pcm = self.params.get_int("SpeedFromPCM")
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if speed_from_pcm == 1: #toyota
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hudControl.setSpeed = float(CS.vCruiseCluster * CV.KPH_TO_MS)
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elif speed_from_pcm == 2:
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hudControl.setSpeed = float(max(30/3.6, desired_kph * CV.KPH_TO_MS))
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elif speed_from_pcm == 3: # honda
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hudControl.setSpeed = setSpeed if lp.xState == 3 else float(desired_kph * CV.KPH_TO_MS)
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else:
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hudControl.setSpeed = float(max(30/3.6, setSpeed))
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else:
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hudControl.setSpeed = setSpeed if lp.xState == 3 else float(desired_kph * CV.KPH_TO_MS)
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hudControl.speedVisible = CC.enabled
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hudControl.lanesVisible = CC.enabled
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hudControl.leadVisible = self.sm['longitudinalPlan'].hasLead
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hudControl.leadDistanceBars = self.sm['selfdriveState'].personality.raw + 1
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hudControl.visualAlert = self.sm['selfdriveState'].alertHudVisual
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leadOne = self.sm['radarState'].leadOne
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hudControl.leadDistance = leadOne.dRel if leadOne.status else 0
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hudControl.leadRelSpeed = leadOne.vRel if leadOne.status else 0
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hudControl.rightLaneVisible = True
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hudControl.leftLaneVisible = True
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if self.sm.valid['driverAssistance']:
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hudControl.leftLaneDepart = self.sm['driverAssistance'].leftLaneDeparture
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hudControl.rightLaneDepart = self.sm['driverAssistance'].rightLaneDeparture
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if self.sm['selfdriveState'].active:
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CO = self.sm['carOutput']
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if self.CP.steerControlType == car.CarParams.SteerControlType.angle:
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self.steer_limited = abs(CC.actuators.steeringAngleDeg - CO.actuatorsOutput.steeringAngleDeg) > \
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STEER_ANGLE_SATURATION_THRESHOLD
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else:
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self.steer_limited = abs(CC.actuators.steer - CO.actuatorsOutput.steer) > 1e-2
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# TODO: both controlsState and carControl valids should be set by
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# sm.all_checks(), but this creates a circular dependency
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# controlsState
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dat = messaging.new_message('controlsState')
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dat.valid = CS.canValid
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cs = dat.controlsState
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lp = self.sm['liveParameters']
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steer_angle_without_offset = math.radians(CS.steeringAngleDeg - lp.angleOffsetDeg)
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cs.curvature = -self.VM.calc_curvature(steer_angle_without_offset, CS.vEgo, lp.roll)
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cs.longitudinalPlanMonoTime = self.sm.logMonoTime['longitudinalPlan']
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cs.lateralPlanMonoTime = self.sm.logMonoTime['modelV2']
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cs.desiredCurvature = float(self.desired_curvature)
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cs.longControlState = self.LoC.long_control_state
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cs.upAccelCmd = float(self.LoC.pid.p)
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cs.uiAccelCmd = float(self.LoC.pid.i)
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cs.ufAccelCmd = float(self.LoC.pid.f)
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cs.forceDecel = bool((self.sm['driverMonitoringState'].awarenessStatus < 0. and self.params.get_int("DisableDM") == 0) or
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(self.sm['selfdriveState'].state == State.softDisabling))
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lat_tuning = self.CP.lateralTuning.which()
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if self.CP.steerControlType == car.CarParams.SteerControlType.angle:
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cs.lateralControlState.angleState = lac_log
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elif lat_tuning == 'pid':
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cs.lateralControlState.pidState = lac_log
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elif lat_tuning == 'torque':
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cs.lateralControlState.torqueState = lac_log
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cs.activeLaneLine = self.lanefull_mode_enabled
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self.pm.send('controlsState', dat)
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# carControl
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cc_send = messaging.new_message('carControl')
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cc_send.valid = CS.canValid
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cc_send.carControl = CC
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self.pm.send('carControl', cc_send)
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def run(self):
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rk = Ratekeeper(100, print_delay_threshold=None)
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while True:
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self.update()
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CC, lac_log = self.state_control()
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self.publish(CC, lac_log)
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rk.monitor_time()
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def main():
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config_realtime_process(4, Priority.CTRL_HIGH)
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controls = Controls()
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controls.run()
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if __name__ == "__main__":
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main()
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