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.car.tesla.values import CAR
from selfdrive.car import STD_CARGO_KG, gen_empty_fingerprint, scale_rot_inertia, scale_tire_stiffness
from selfdrive.car.interfaces import CarInterfaceBase
class CarInterface(CarInterfaceBase):
@staticmethod
def get_params(candidate, fingerprint=gen_empty_fingerprint(), car_fw=None):
ret = CarInterfaceBase.get_std_params(candidate, fingerprint)
ret.carName = "tesla"
ret.safetyModel = car.CarParams.SafetyModel.tesla
# There is no safe way to do steer blending with user torque,
# so the steering behaves like autopilot. This is not
# how openpilot should be, hence dashcamOnly
ret.dashcamOnly = True
ret.steerControlType = car.CarParams.SteerControlType.angle
ret.openpilotLongitudinalControl = False
ret.steerActuatorDelay = 0.1
ret.steerRateCost = 0.5
if candidate in [CAR.AP2_MODELS, CAR.AP1_MODELS]:
ret.mass = 2100. + STD_CARGO_KG
ret.wheelbase = 2.959
ret.centerToFront = ret.wheelbase * 0.5
ret.steerRatio = 13.5
else:
raise ValueError(f"Unsupported car: {candidate}")
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(ret.mass, ret.wheelbase, ret.centerToFront)
return ret
def update(self, c, can_strings):
self.cp.update_strings(can_strings)
self.cp_cam.update_strings(can_strings)
ret = self.CS.update(self.cp, self.cp_cam)
ret.canValid = self.cp.can_valid and self.cp_cam.can_valid
events = self.create_common_events(ret)
ret.events = events.to_msg()
self.CS.out = ret.as_reader()
return self.CS.out
def apply(self, c):
can_sends = self.CC.update(c.enabled, self.CS, self.frame, c.actuators, c.cruiseControl.cancel)
self.frame += 1
return can_sends