jyoung/tools/sim/bridge.py

#!/usr/bin/env python3
import argparse
import atexit
import carla # pylint: disable=import-error
import math
import numpy as np
import time
import threading
from cereal import log
from typing import Any

import cereal.messaging as messaging
from common.params import Params
from common.realtime import Ratekeeper, DT_DMON
from lib.can import can_function
from selfdrive.car.honda.values import CruiseButtons
from selfdrive.test.helpers import set_params_enabled

parser = argparse.ArgumentParser(description='Bridge between CARLA and openpilot.')
parser.add_argument('--joystick', action='store_true')
parser.add_argument('--low_quality', 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)

args = parser.parse_args()

W, H = 1164, 874
REPEAT_COUNTER = 5
PRINT_DECIMATION = 100
STEER_RATIO = 15.

pm = messaging.PubMaster(['roadCameraState', 'sensorEvents', 'can', "gpsLocationExternal"])
sm = messaging.SubMaster(['carControl','controlsState'])

class VehicleState:
  def __init__(self):
    self.speed = 0
    self.angle = 0
    self.bearing_deg = 0.0
    self.vel = carla.Vector3D()
    self.cruise_button= 0
    self.is_engaged=False

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

frame_id = 0
def cam_callback(image):
  global frame_id
  img = np.frombuffer(image.raw_data, dtype=np.dtype("uint8"))
  img = np.reshape(img, (H, W, 4))
  img = img[:, :, [0, 1, 2]].copy()

  dat = messaging.new_message('roadCameraState')
  dat.roadCameraState = {
    "frameId": image.frame,
    "image": img.tobytes(),
    "transform": [1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0]
  }
  pm.send('roadCameraState', dat)
  frame_id += 1

def imu_callback(imu, vehicle_state):
  vehicle_state.bearing_deg = math.degrees(imu.compass)
  dat = messaging.new_message('sensorEvents', 2)
  dat.sensorEvents[0].sensor = 4
  dat.sensorEvents[0].type = 0x10
  dat.sensorEvents[0].init('acceleration')
  dat.sensorEvents[0].acceleration.v = [imu.accelerometer.x, imu.accelerometer.y, imu.accelerometer.z]
  # copied these numbers from locationd
  dat.sensorEvents[1].sensor = 5
  dat.sensorEvents[1].type = 0x10
  dat.sensorEvents[1].init('gyroUncalibrated')
  dat.sensorEvents[1].gyroUncalibrated.v = [imu.gyroscope.x, imu.gyroscope.y, imu.gyroscope.z]
  pm.send('sensorEvents', dat)

def panda_state_function():
  pm = messaging.PubMaster(['pandaState'])
  while 1:
    dat = messaging.new_message('pandaState')
    dat.valid = True
    dat.pandaState = {
      'ignitionLine': True,
      'pandaType': "blackPanda",
      'controlsAllowed': True,
      'safetyModel': 'hondaNidec'
    }
    pm.send('pandaState', 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 = {
    "flags": 1, # valid fix
    "verticalAccuracy": 1.0,
    "speedAccuracy": 0.1,
    "vNED": velNED,
    "bearingDeg": vehicle_state.bearing_deg,
    "latitude": gps.latitude,
    "longitude": gps.longitude,
    "altitude": gps.altitude,
    "source": log.GpsLocationData.SensorSource.ublox,
  }

  pm.send('gpsLocationExternal', dat)

def fake_driver_monitoring():
  pm = messaging.PubMaster(['driverState','driverMonitoringState'])
  while 1:

    # dmonitoringmodeld output
    dat = messaging.new_message('driverState')
    dat.driverState.faceProb = 1.0
    pm.send('driverState', 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):
  i = 0
  while 1:
    can_function(pm, vs.speed, vs.angle, i, vs.cruise_button, vs.is_engaged)
    time.sleep(0.01)
    i+=1


def bridge(q):

  # setup CARLA
  client = carla.Client("127.0.0.1", 2000)
  client.set_timeout(10.0)
  world = client.load_world(args.town)

  if args.low_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.Particles)
    world.unload_map_layer(carla.MapLayer.Props)
    world.unload_map_layer(carla.MapLayer.StreetLights)

  blueprint_library = world.get_blueprint_library()

  world_map = world.get_map()

  vehicle_bp = blueprint_library.filter('vehicle.tesla.*')[1]
  spawn_points = world_map.get_spawn_points()
  assert len(spawn_points) > args.num_selected_spawn_point, \
    f'''No spawn point {args.num_selected_spawn_point}, try a value between 0 and
    {len(spawn_points)} for this town.'''
  spawn_point = spawn_points[args.num_selected_spawn_point]
  vehicle = world.spawn_actor(vehicle_bp, spawn_point)

  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)

  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', '70')
  blueprint.set_attribute('sensor_tick', '0.05')
  transform = carla.Transform(carla.Location(x=0.8, z=1.13))
  camera = world.spawn_actor(blueprint, transform, attach_to=vehicle)
  camera.listen(cam_callback)

  vehicle_state = VehicleState()

  # reenable IMU
  imu_bp = blueprint_library.find('sensor.other.imu')
  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))

  def destroy():
    print("clean exit")
    imu.destroy()
    camera.destroy()
    vehicle.destroy()
    print("done")
  atexit.register(destroy)

  # launch fake car threads
  threading.Thread(target=panda_state_function).start()
  threading.Thread(target=fake_driver_monitoring).start()
  threading.Thread(target=can_function_runner, args=(vehicle_state,)).start()

  # can loop
  rk = Ratekeeper(100, print_delay_threshold=0.05)

  # 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


  while 1:
    # 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
    throttle_op = steer_op = brake_op = 0
    throttle_manual = steer_manual = brake_manual = 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
      if m[0] == "throttle":
        throttle_manual = float(m[1])
        is_openpilot_engaged = False
      if m[0] == "brake":
        brake_manual = float(m[1])
        is_openpilot_engaged = False
      if m[0] == "reverse":
        #in_reverse = not in_reverse
        cruise_button = CruiseButtons.CANCEL
        is_openpilot_engaged = False
      if m[0] == "cruise":
        if m[1] == "down":
          cruise_button = CruiseButtons.DECEL_SET
          is_openpilot_engaged = True
        if m[1] == "up":
          cruise_button = CruiseButtons.RES_ACCEL
          is_openpilot_engaged = True
        if m[1] == "cancel":
          cruise_button = CruiseButtons.CANCEL
          is_openpilot_engaged = False

      throttle_out = throttle_manual * throttle_manual_multiplier
      steer_out = steer_manual * steer_manual_multiplier
      brake_out = brake_manual * brake_manual_multiplier

      #steer_out = steer_out
      # steer_out = steer_rate_limit(old_steer, steer_out)
      old_steer = steer_out
      old_throttle = throttle_out
      old_brake = brake_out

      # print('message',old_throttle, old_steer, old_brake)

    if is_openpilot_engaged:
      sm.update(0)
      throttle_op = sm['carControl'].actuators.gas #[0,1]
      brake_op = sm['carControl'].actuators.brake #[0,1]
      steer_op = sm['controlsState'].steeringAngleDesiredDeg # degrees [-180,180]

      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))

    rk.keep_time()

def go(q: Any):
  while 1:
    try:
      bridge(q)
    except RuntimeError:
      print("Restarting bridge...")

if __name__ == "__main__":
  # make sure params are in a good state
  set_params_enabled()

  params = Params()
  params.delete("Offroad_ConnectivityNeeded")
  params.put("CalibrationParams", '{"calib_radians": [0,0,0], "valid_blocks": 20}')

  from multiprocessing import Process, Queue
  q: Any = Queue()
  p = Process(target=go, args=(q,))
  p.daemon = True
  p.start()

  if args.joystick:
    # start input poll for joystick
    from lib.manual_ctrl import wheel_poll_thread
    wheel_poll_thread(q)
  else:
    # start input poll for keyboard
    from lib.keyboard_ctrl import keyboard_poll_thread
    keyboard_poll_thread(q)