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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import numpy as np
from openpilot.common.params import Params
from openpilot.tools.sim.lib.common import SimulatorState, vec3
from openpilot.tools.sim.bridge.common import World
from openpilot.tools.sim.lib.camerad import W, H
class CarlaWorld(World):
def __init__(self, client, high_quality, dual_camera, num_selected_spawn_point, town):
super().__init__(dual_camera)
import carla
low_quality_layers = carla.MapLayer(carla.MapLayer.Ground | carla.MapLayer.Walls | carla.MapLayer.Decals)
layers = carla.MapLayer.All if high_quality else low_quality_layers
world = client.load_world(town, map_layers=layers)
settings = world.get_settings()
settings.fixed_delta_seconds = 0.01
world.apply_settings(settings)
world.set_weather(carla.WeatherParameters.ClearSunset)
self.world = world
world_map = world.get_map()
blueprint_library = world.get_blueprint_library()
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) > num_selected_spawn_point, \
f'''No spawn point {num_selected_spawn_point}, try a value between 0 and {len(spawn_points)} for this town.'''
self.spawn_point = spawn_points[num_selected_spawn_point]
self.vehicle = world.spawn_actor(vehicle_bp, self.spawn_point)
physics_control = self.vehicle.get_physics_control()
physics_control.mass = 2326
physics_control.torque_curve = [[20.0, 500.0], [5000.0, 500.0]]
physics_control.gear_switch_time = 0.0
self.vehicle.apply_physics_control(physics_control)
self.vc: carla.VehicleControl = carla.VehicleControl(throttle=0, steer=0, brake=0, reverse=False)
self.max_steer_angle: float = self.vehicle.get_physics_control().wheels[0].max_steer_angle
self.params = Params()
self.steer_ratio = 15
self.carla_objects = []
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))
blueprint.set_attribute('sensor_tick', str(1/20))
if not high_quality:
blueprint.set_attribute('enable_postprocess_effects', 'False')
camera = world.spawn_actor(blueprint, transform, attach_to=self.vehicle)
camera.listen(callback)
return camera
self.road_camera = create_camera(fov=40, callback=self.cam_callback_road)
if dual_camera:
self.road_wide_camera = create_camera(fov=120, callback=self.cam_callback_wide_road) # fov bigger than 120 shows unwanted artifacts
else:
self.road_wide_camera = None
# re-enable IMU
imu_bp = blueprint_library.find('sensor.other.imu')
imu_bp.set_attribute('sensor_tick', '0.01')
self.imu = world.spawn_actor(imu_bp, transform, attach_to=self.vehicle)
gps_bp = blueprint_library.find('sensor.other.gnss')
self.gps = world.spawn_actor(gps_bp, transform, attach_to=self.vehicle)
self.params.put_bool("UbloxAvailable", True)
self.carla_objects = [self.imu, self.gps, self.road_camera, self.road_wide_camera, self.vehicle]
def close(self):
for s in self.carla_objects:
if s is not None:
try:
s.destroy()
except Exception as e:
print("Failed to destroy carla object", e)
def carla_image_to_rgb(self, image):
rgb = np.frombuffer(image.raw_data, dtype=np.dtype("uint8"))
rgb = np.reshape(rgb, (H, W, 4))
return np.ascontiguousarray(rgb[:, :, [0, 1, 2]])
def cam_callback_road(self, image):
with self.image_lock:
self.road_image = self.carla_image_to_rgb(image)
def cam_callback_wide_road(self, image):
with self.image_lock:
self.wide_road_image = self.carla_image_to_rgb(image)
def apply_controls(self, steer_angle, throttle_out, brake_out):
self.vc.throttle = throttle_out
steer_carla = steer_angle * -1 / (self.max_steer_angle * self.steer_ratio)
steer_carla = np.clip(steer_carla, -1, 1)
self.vc.steer = steer_carla
self.vc.brake = brake_out
self.vehicle.apply_control(self.vc)
def read_sensors(self, simulator_state: SimulatorState):
simulator_state.imu.bearing = self.imu.get_transform().rotation.yaw
simulator_state.imu.accelerometer = vec3(
self.imu.get_acceleration().x,
self.imu.get_acceleration().y,
self.imu.get_acceleration().z
)
simulator_state.imu.gyroscope = vec3(
self.imu.get_angular_velocity().x,
self.imu.get_angular_velocity().y,
self.imu.get_angular_velocity().z
)
simulator_state.gps.from_xy([self.vehicle.get_location().x, self.vehicle.get_location().y])
simulator_state.velocity = self.vehicle.get_velocity()
simulator_state.valid = True
simulator_state.steering_angle = self.vc.steer * self.max_steer_angle
def read_cameras(self):
pass # cameras are read within a callback for carla
def tick(self):
self.world.tick()
def reset(self):
import carla
self.vehicle.set_transform(self.spawn_point)
self.vehicle.set_target_velocity(carla.Vector3D())