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
from cereal import car
from selfdrive.swaglog import cloudlog
from selfdrive.config import Conversions as CV
from selfdrive.controls.lib.drive_helpers import EventTypes as ET, create_event
from selfdrive.car.ford.values import MAX_ANGLE, Ecu, ECU_FINGERPRINT, FINGERPRINTS
from selfdrive.car import STD_CARGO_KG, scale_rot_inertia, scale_tire_stiffness, is_ecu_disconnected, gen_empty_fingerprint
from selfdrive.car.interfaces import CarInterfaceBase
class CarInterface(CarInterfaceBase):
@staticmethod
def compute_gb(accel, speed):
return float(accel) / 3.0
@staticmethod
def get_params(candidate, fingerprint=gen_empty_fingerprint(), has_relay=False, car_fw=[]):
ret = CarInterfaceBase.get_std_params(candidate, fingerprint, has_relay)
ret.carName = "ford"
ret.safetyModel = car.CarParams.SafetyModel.ford
ret.dashcamOnly = True
ret.wheelbase = 2.85
ret.steerRatio = 14.8
ret.mass = 3045. * CV.LB_TO_KG + STD_CARGO_KG
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.], [0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.01], [0.005]] # TODO: tune this
ret.lateralTuning.pid.kf = 1. / MAX_ANGLE # MAX Steer angle to normalize FF
ret.steerActuatorDelay = 0.1 # Default delay, not measured yet
ret.steerLimitTimer = 0.8
ret.steerRateCost = 1.0
ret.centerToFront = ret.wheelbase * 0.44
tire_stiffness_factor = 0.5328
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(ret.mass, ret.wheelbase, ret.centerToFront,
tire_stiffness_factor=tire_stiffness_factor)
ret.steerControlType = car.CarParams.SteerControlType.angle
ret.enableCamera = is_ecu_disconnected(fingerprint[0], FINGERPRINTS, ECU_FINGERPRINT, candidate, Ecu.fwdCamera) or has_relay
cloudlog.warning("ECU Camera Simulated: %r", ret.enableCamera)
return ret
# returns a car.CarState
def update(self, c, can_strings):
# ******************* do can recv *******************
self.cp.update_strings(can_strings)
ret = self.CS.update(self.cp)
ret.canValid = self.cp.can_valid
# events
events = self.create_common_events(ret)
if self.CS.lkas_state not in [2, 3] and ret.vEgo > 13.* CV.MPH_TO_MS and ret.cruiseState.enabled:
events.append(create_event('steerTempUnavailableMute', [ET.WARNING]))
ret.events = events
self.CS.out = ret.as_reader()
return self.CS.out
# pass in a car.CarControl
# to be called @ 100hz
def apply(self, c):
can_sends = self.CC.update(c.enabled, self.CS, self.frame, c.actuators,
c.hudControl.visualAlert, c.cruiseControl.cancel)
self.frame += 1
return can_sends