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 argparse
import math
import os
import signal
import threading
import time
from multiprocessing import Process, Queue
from typing import Any
import carla # pylint: disable=import-error
import numpy as np
import pyopencl as cl
import pyopencl.array as cl_array
import cereal.messaging as messaging
from cereal import log
from cereal.visionipc import VisionIpcServer, VisionStreamType
from common.basedir import BASEDIR
from common.numpy_fast import clip
from common.params import Params
from common.realtime import DT_DMON, Ratekeeper
from selfdrive.car.honda.values import CruiseButtons
from selfdrive.test.helpers import set_params_enabled
from tools.sim.lib.can import can_function
W, H = 1928, 1208
REPEAT_COUNTER = 5
PRINT_DECIMATION = 100
STEER_RATIO = 15.
pm = messaging.PubMaster(['roadCameraState', 'wideRoadCameraState', 'accelerometer', 'gyroscope', 'can', "gpsLocationExternal"])
sm = messaging.SubMaster(['carControl', 'controlsState'])
def parse_args(add_args=None):
parser = argparse.ArgumentParser(description='Bridge between CARLA and openpilot.')
parser.add_argument('--joystick', action='store_true')
parser.add_argument('--high_quality', action='store_true')
parser.add_argument('--dual_camera', action='store_true')
parser.add_argument('--town', type=str, default='Town04_Opt')
parser.add_argument('--spawn_point', dest='num_selected_spawn_point', type=int, default=16)
return parser.parse_args(add_args)
class VehicleState:
def __init__(self):
self.speed = 0.0
self.angle = 0.0
self.bearing_deg = 0.0
self.vel = carla.Vector3D()
self.cruise_button = 0
self.is_engaged = False
self.ignition = True
def steer_rate_limit(old, new):
# Rate limiting to 0.5 degrees per step
limit = 0.5
if new > old + limit:
return old + limit
elif new < old - limit:
return old - limit
else:
return new
class Camerad:
def __init__(self):
self.frame_road_id = 0
self.frame_wide_id = 0
self.vipc_server = VisionIpcServer("camerad")
self.vipc_server.create_buffers(VisionStreamType.VISION_STREAM_ROAD, 5, False, W, H)
self.vipc_server.create_buffers(VisionStreamType.VISION_STREAM_WIDE_ROAD, 5, False, W, H)
self.vipc_server.start_listener()
# set up for pyopencl rgb to yuv conversion
self.ctx = cl.create_some_context()
self.queue = cl.CommandQueue(self.ctx)
cl_arg = f" -DHEIGHT={H} -DWIDTH={W} -DRGB_STRIDE={W * 3} -DUV_WIDTH={W // 2} -DUV_HEIGHT={H // 2} -DRGB_SIZE={W * H} -DCL_DEBUG "
# TODO: move rgb_to_yuv.cl to local dir once the frame stream camera is removed
kernel_fn = os.path.join(BASEDIR, "system", "camerad", "transforms", "rgb_to_yuv.cl")
with open(kernel_fn) as f:
prg = cl.Program(self.ctx, f.read()).build(cl_arg)
self.krnl = prg.rgb_to_yuv
self.Wdiv4 = W // 4 if (W % 4 == 0) else (W + (4 - W % 4)) // 4
self.Hdiv4 = H // 4 if (H % 4 == 0) else (H + (4 - H % 4)) // 4
def cam_callback_road(self, image):
self._cam_callback(image, self.frame_road_id, 'roadCameraState', VisionStreamType.VISION_STREAM_ROAD)
self.frame_road_id += 1
def cam_callback_wide_road(self, image):
self._cam_callback(image, self.frame_wide_id, 'wideRoadCameraState', VisionStreamType.VISION_STREAM_WIDE_ROAD)
self.frame_wide_id += 1
def _cam_callback(self, image, frame_id, pub_type, yuv_type):
img = np.frombuffer(image.raw_data, dtype=np.dtype("uint8"))
img = np.reshape(img, (H, W, 4))
img = img[:, :, [0, 1, 2]].copy()
# convert RGB frame to YUV
rgb = np.reshape(img, (H, W * 3))
rgb_cl = cl_array.to_device(self.queue, rgb)
yuv_cl = cl_array.empty_like(rgb_cl)
self.krnl(self.queue, (np.int32(self.Wdiv4), np.int32(self.Hdiv4)), None, rgb_cl.data, yuv_cl.data).wait()
yuv = np.resize(yuv_cl.get(), rgb.size // 2)
eof = int(frame_id * 0.05 * 1e9)
self.vipc_server.send(yuv_type, yuv.data.tobytes(), frame_id, eof, eof)
dat = messaging.new_message(pub_type)
msg = {
"frameId": frame_id,
"transform": [1.0, 0.0, 0.0,
0.0, 1.0, 0.0,
0.0, 0.0, 1.0]
}
setattr(dat, pub_type, msg)
pm.send(pub_type, dat)
def imu_callback(imu, vehicle_state):
# send 5x since 'sensor_tick' doesn't seem to work. limited by the world tick?
for _ in range(5):
vehicle_state.bearing_deg = math.degrees(imu.compass)
dat = messaging.new_message('accelerometer')
dat.accelerometer.sensor = 4
dat.accelerometer.type = 0x1
dat.accelerometer.timestamp = dat.logMonoTime # TODO: use the IMU timestamp
dat.accelerometer.init('acceleration')
dat.accelerometer.acceleration.v = [imu.accelerometer.x, imu.accelerometer.y, imu.accelerometer.z]
pm.send('accelerometer', dat)
# copied these numbers from locationd
dat = messaging.new_message('gyroscope')
dat.gyroscope.sensor = 5
dat.gyroscope.type = 0x10
dat.gyroscope.timestamp = dat.logMonoTime # TODO: use the IMU timestamp
dat.gyroscope.init('gyroUncalibrated')
dat.gyroscope.gyroUncalibrated.v = [imu.gyroscope.x, imu.gyroscope.y, imu.gyroscope.z]
pm.send('gyroscope', dat)
time.sleep(0.01)
def panda_state_function(vs: VehicleState, exit_event: threading.Event):
pm = messaging.PubMaster(['pandaStates'])
while not exit_event.is_set():
dat = messaging.new_message('pandaStates', 1)
dat.valid = True
dat.pandaStates[0] = {
'ignitionLine': vs.ignition,
'pandaType': "blackPanda",
'controlsAllowed': True,
'safetyModel': 'hondaNidec'
}
pm.send('pandaStates', dat)
time.sleep(0.5)
def peripheral_state_function(exit_event: threading.Event):
pm = messaging.PubMaster(['peripheralState'])
while not exit_event.is_set():
dat = messaging.new_message('peripheralState')
dat.valid = True
# fake peripheral state data
dat.peripheralState = {
'pandaType': log.PandaState.PandaType.blackPanda,
'voltage': 12000,
'current': 5678,
'fanSpeedRpm': 1000
}
pm.send('peripheralState', dat)
time.sleep(0.5)
def gps_callback(gps, vehicle_state):
dat = messaging.new_message('gpsLocationExternal')
# transform vel from carla to NED
# north is -Y in CARLA
velNED = [
-vehicle_state.vel.y, # north/south component of NED is negative when moving south
vehicle_state.vel.x, # positive when moving east, which is x in carla
vehicle_state.vel.z,
]
dat.gpsLocationExternal = {
"unixTimestampMillis": int(time.time() * 1000),
"flags": 1, # valid fix
"accuracy": 1.0,
"verticalAccuracy": 1.0,
"speedAccuracy": 0.1,
"bearingAccuracyDeg": 0.1,
"vNED": velNED,
"bearingDeg": vehicle_state.bearing_deg,
"latitude": gps.latitude,
"longitude": gps.longitude,
"altitude": gps.altitude,
"speed": vehicle_state.speed,
"source": log.GpsLocationData.SensorSource.ublox,
}
pm.send('gpsLocationExternal', dat)
def fake_driver_monitoring(exit_event: threading.Event):
pm = messaging.PubMaster(['driverStateV2', 'driverMonitoringState'])
while not exit_event.is_set():
# dmonitoringmodeld output
dat = messaging.new_message('driverStateV2')
dat.driverStateV2.leftDriverData.faceProb = 1.0
pm.send('driverStateV2', dat)
# dmonitoringd output
dat = messaging.new_message('driverMonitoringState')
dat.driverMonitoringState = {
"faceDetected": True,
"isDistracted": False,
"awarenessStatus": 1.,
}
pm.send('driverMonitoringState', dat)
time.sleep(DT_DMON)
def can_function_runner(vs: VehicleState, exit_event: threading.Event):
i = 0
while not exit_event.is_set():
can_function(pm, vs.speed, vs.angle, i, vs.cruise_button, vs.is_engaged)
time.sleep(0.01)
i += 1
def connect_carla_client():
client = carla.Client("127.0.0.1", 2000)
client.set_timeout(5)
return client
class CarlaBridge:
def __init__(self, arguments):
set_params_enabled()
self.params = Params()
msg = messaging.new_message('liveCalibration')
msg.liveCalibration.validBlocks = 20
msg.liveCalibration.rpyCalib = [0.0, 0.0, 0.0]
self.params.put("CalibrationParams", msg.to_bytes())
self.params.put_bool("WideCameraOnly", not arguments.dual_camera)
self._args = arguments
self._carla_objects = []
self._camerad = None
self._exit_event = threading.Event()
self._threads = []
self._keep_alive = True
self.started = False
signal.signal(signal.SIGTERM, self._on_shutdown)
self._exit = threading.Event()
def _on_shutdown(self, signal, frame):
self._keep_alive = False
def bridge_keep_alive(self, q: Queue, retries: int):
try:
while self._keep_alive:
try:
self._run(q)
break
except RuntimeError as e:
self.close()
if retries == 0:
raise
# Reset for another try
self._carla_objects = []
self._threads = []
self._exit_event = threading.Event()
retries -= 1
if retries <= -1:
print(f"Restarting bridge. Error: {e} ")
else:
print(f"Restarting bridge. Retries left {retries}. Error: {e} ")
finally:
# Clean up resources in the opposite order they were created.
self.close()
def _run(self, q: Queue):
client = connect_carla_client()
world = client.load_world(self._args.town)
settings = world.get_settings()
settings.synchronous_mode = True # Enables synchronous mode
settings.fixed_delta_seconds = 0.05
world.apply_settings(settings)
world.set_weather(carla.WeatherParameters.ClearSunset)
if not self._args.high_quality:
world.unload_map_layer(carla.MapLayer.Foliage)
world.unload_map_layer(carla.MapLayer.Buildings)
world.unload_map_layer(carla.MapLayer.ParkedVehicles)
world.unload_map_layer(carla.MapLayer.Props)
world.unload_map_layer(carla.MapLayer.StreetLights)
world.unload_map_layer(carla.MapLayer.Particles)
blueprint_library = world.get_blueprint_library()
world_map = world.get_map()
vehicle_bp = blueprint_library.filter('vehicle.tesla.*')[1]
vehicle_bp.set_attribute('role_name', 'hero')
spawn_points = world_map.get_spawn_points()
assert len(spawn_points) > self._args.num_selected_spawn_point, f'''No spawn point {self._args.num_selected_spawn_point}, try a value between 0 and
{len(spawn_points)} for this town.'''
spawn_point = spawn_points[self._args.num_selected_spawn_point]
vehicle = world.spawn_actor(vehicle_bp, spawn_point)
self._carla_objects.append(vehicle)
max_steer_angle = vehicle.get_physics_control().wheels[0].max_steer_angle
# make tires less slippery
# wheel_control = carla.WheelPhysicsControl(tire_friction=5)
physics_control = vehicle.get_physics_control()
physics_control.mass = 2326
# physics_control.wheels = [wheel_control]*4
physics_control.torque_curve = [[20.0, 500.0], [5000.0, 500.0]]
physics_control.gear_switch_time = 0.0
vehicle.apply_physics_control(physics_control)
transform = carla.Transform(carla.Location(x=0.8, z=1.13))
def create_camera(fov, callback):
blueprint = blueprint_library.find('sensor.camera.rgb')
blueprint.set_attribute('image_size_x', str(W))
blueprint.set_attribute('image_size_y', str(H))
blueprint.set_attribute('fov', str(fov))
if not self._args.high_quality:
blueprint.set_attribute('enable_postprocess_effects', 'False')
camera = world.spawn_actor(blueprint, transform, attach_to=vehicle)
camera.listen(callback)
return camera
self._camerad = Camerad()
if self._args.dual_camera:
road_camera = create_camera(fov=40, callback=self._camerad.cam_callback_road)
self._carla_objects.append(road_camera)
road_wide_camera = create_camera(fov=120, callback=self._camerad.cam_callback_wide_road) # fov bigger than 120 shows unwanted artifacts
self._carla_objects.append(road_wide_camera)
vehicle_state = VehicleState()
# re-enable IMU
imu_bp = blueprint_library.find('sensor.other.imu')
imu_bp.set_attribute('sensor_tick', '0.01')
imu = world.spawn_actor(imu_bp, transform, attach_to=vehicle)
imu.listen(lambda imu: imu_callback(imu, vehicle_state))
gps_bp = blueprint_library.find('sensor.other.gnss')
gps = world.spawn_actor(gps_bp, transform, attach_to=vehicle)
gps.listen(lambda gps: gps_callback(gps, vehicle_state))
self.params.put_bool("UbloxAvailable", True)
self._carla_objects.extend([imu, gps])
# launch fake car threads
self._threads.append(threading.Thread(target=panda_state_function, args=(vehicle_state, self._exit_event,)))
self._threads.append(threading.Thread(target=peripheral_state_function, args=(self._exit_event,)))
self._threads.append(threading.Thread(target=fake_driver_monitoring, args=(self._exit_event,)))
self._threads.append(threading.Thread(target=can_function_runner, args=(vehicle_state, self._exit_event,)))
for t in self._threads:
t.start()
# init
throttle_ease_out_counter = REPEAT_COUNTER
brake_ease_out_counter = REPEAT_COUNTER
steer_ease_out_counter = REPEAT_COUNTER
vc = carla.VehicleControl(throttle=0, steer=0, brake=0, reverse=False)
is_openpilot_engaged = False
throttle_out = steer_out = brake_out = 0.
throttle_op = steer_op = brake_op = 0.
throttle_manual = steer_manual = brake_manual = 0.
old_steer = old_brake = old_throttle = 0.
throttle_manual_multiplier = 0.7 # keyboard signal is always 1
brake_manual_multiplier = 0.7 # keyboard signal is always 1
steer_manual_multiplier = 45 * STEER_RATIO # keyboard signal is always 1
# Simulation tends to be slow in the initial steps. This prevents lagging later
for _ in range(20):
world.tick()
# loop
rk = Ratekeeper(100, print_delay_threshold=0.05)
while self._keep_alive:
# 1. Read the throttle, steer and brake from op or manual controls
# 2. Set instructions in Carla
# 3. Send current carstate to op via can
cruise_button = 0
throttle_out = steer_out = brake_out = 0.0
throttle_op = steer_op = brake_op = 0.0
throttle_manual = steer_manual = brake_manual = 0.0
# --------------Step 1-------------------------------
if not q.empty():
message = q.get()
m = message.split('_')
if m[0] == "steer":
steer_manual = float(m[1])
is_openpilot_engaged = False
elif m[0] == "throttle":
throttle_manual = float(m[1])
is_openpilot_engaged = False
elif m[0] == "brake":
brake_manual = float(m[1])
is_openpilot_engaged = False
elif m[0] == "reverse":
cruise_button = CruiseButtons.CANCEL
is_openpilot_engaged = False
elif m[0] == "cruise":
if m[1] == "down":
cruise_button = CruiseButtons.DECEL_SET
is_openpilot_engaged = True
elif m[1] == "up":
cruise_button = CruiseButtons.RES_ACCEL
is_openpilot_engaged = True
elif m[1] == "cancel":
cruise_button = CruiseButtons.CANCEL
is_openpilot_engaged = False
elif m[0] == "ignition":
vehicle_state.ignition = not vehicle_state.ignition
elif m[0] == "quit":
break
throttle_out = throttle_manual * throttle_manual_multiplier
steer_out = steer_manual * steer_manual_multiplier
brake_out = brake_manual * brake_manual_multiplier
old_steer = steer_out
old_throttle = throttle_out
old_brake = brake_out
if is_openpilot_engaged:
sm.update(0)
# TODO gas and brake is deprecated
throttle_op = clip(sm['carControl'].actuators.accel / 1.6, 0.0, 1.0)
brake_op = clip(-sm['carControl'].actuators.accel / 4.0, 0.0, 1.0)
steer_op = sm['carControl'].actuators.steeringAngleDeg
throttle_out = throttle_op
steer_out = steer_op
brake_out = brake_op
steer_out = steer_rate_limit(old_steer, steer_out)
old_steer = steer_out
else:
if throttle_out == 0 and old_throttle > 0:
if throttle_ease_out_counter > 0:
throttle_out = old_throttle
throttle_ease_out_counter += -1
else:
throttle_ease_out_counter = REPEAT_COUNTER
old_throttle = 0
if brake_out == 0 and old_brake > 0:
if brake_ease_out_counter > 0:
brake_out = old_brake
brake_ease_out_counter += -1
else:
brake_ease_out_counter = REPEAT_COUNTER
old_brake = 0
if steer_out == 0 and old_steer != 0:
if steer_ease_out_counter > 0:
steer_out = old_steer
steer_ease_out_counter += -1
else:
steer_ease_out_counter = REPEAT_COUNTER
old_steer = 0
# --------------Step 2-------------------------------
steer_carla = steer_out / (max_steer_angle * STEER_RATIO * -1)
steer_carla = np.clip(steer_carla, -1, 1)
steer_out = steer_carla * (max_steer_angle * STEER_RATIO * -1)
old_steer = steer_carla * (max_steer_angle * STEER_RATIO * -1)
vc.throttle = throttle_out / 0.6
vc.steer = steer_carla
vc.brake = brake_out
vehicle.apply_control(vc)
# --------------Step 3-------------------------------
vel = vehicle.get_velocity()
speed = math.sqrt(vel.x ** 2 + vel.y ** 2 + vel.z ** 2) # in m/s
vehicle_state.speed = speed
vehicle_state.vel = vel
vehicle_state.angle = steer_out
vehicle_state.cruise_button = cruise_button
vehicle_state.is_engaged = is_openpilot_engaged
if rk.frame % PRINT_DECIMATION == 0:
print("frame: ", "engaged:", is_openpilot_engaged, "; throttle: ", round(vc.throttle, 3), "; steer(c/deg): ",
round(vc.steer, 3), round(steer_out, 3), "; brake: ", round(vc.brake, 3))
if rk.frame % 5 == 0:
world.tick()
rk.keep_time()
self.started = True
def close(self):
self.started = False
self._exit_event.set()
for s in self._carla_objects:
try:
s.destroy()
except Exception as e:
print("Failed to destroy carla object", e)
for t in reversed(self._threads):
t.join()
def run(self, queue, retries=-1):
bridge_p = Process(target=self.bridge_keep_alive, args=(queue, retries), daemon=True)
bridge_p.start()
return bridge_p
if __name__ == "__main__":
q: Any = Queue()
args = parse_args()
try:
carla_bridge = CarlaBridge(args)
p = carla_bridge.run(q)
if args.joystick:
# start input poll for joystick
from tools.sim.lib.manual_ctrl import wheel_poll_thread
wheel_poll_thread(q)
else:
# start input poll for keyboard
from tools.sim.lib.keyboard_ctrl import keyboard_poll_thread
keyboard_poll_thread(q)
p.join()
finally:
# Try cleaning up the wide camera param
# in case users want to use replay after
Params().remove("WideCameraOnly")