Exemple #1
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    def __init__(self, params: Dict[str, Any]):
        """
        carla_config: CarlaConfig,
                 agent_config: AgentConfig,
                 npc_agent_class, num_frames_per_step: int = 1,
                 use_manual_control: bool = False
        Args:
            params:
        """
        self.env_params = params
        carla_config: CarlaConfig = params["carla_config"]
        agent_config: AgentConfig = params["agent_config"]
        ego_agent_class = params.get("ego_agent_class", Agent)
        npc_agent_class = params.get("npc_agent_class", PurePursuitAgent)

        num_frames_per_step: int = params.get("num_frames_per_step", 1)
        # use_manual_control: bool = params.get("use_manual_control", False)
        self.max_collision_allowed: int = params.get("max_collision", 5)
        self.logger = logging.getLogger("ROAR Gym")
        self.agent_config = agent_config
        self.EgoAgentClass = ego_agent_class
        self.npc_agent_class = npc_agent_class
        self.carla_config = carla_config
        self.carla_runner = CarlaRunner(carla_settings=self.carla_config,
                                        agent_settings=self.agent_config,
                                        npc_agent_class=self.npc_agent_class)
        self.num_frames_per_step = num_frames_per_step
        self.agent: Optional[Agent] = None
        self.clock: Optional[pygame.time.Clock] = None

        self.action_space = None  # overwrite in higher classes
        self.observation_space = None  # overwrite in higher classes
Exemple #2
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 def reset(self) -> Any:
     self.carla_runner.on_finish()
     self.carla_runner = CarlaRunner(agent_settings=self.agent_config,
                                     carla_settings=self.carla_config,
                                     npc_agent_class=self.npc_agent_class)
     vehicle = self.carla_runner.set_carla_world()
     self.agent = self.EgoAgentClass(vehicle=vehicle,
                                     agent_settings=self.agent_config,
                                     kwargs=self.env_params)
     self.clock: Optional[pygame.time.Clock] = None
     self._start_game()
     return self._get_obs()
Exemple #3
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def run(agent_class,
        agent_config_file_path: Path,
        carla_config_file_path: Path,
        num_laps: int = 10) -> Tuple[float, int, int]:
    """
    Run the agent along the track and produce a score based on certain metrics
    Args:
        num_laps: int number of laps that the agent should run
        agent_class: the participant's agent
        agent_config_file_path: agent configuration path
        carla_config_file_path: carla configuration path
    Returns:
        float between 0 - 1 representing scores
    """

    agent_config: AgentConfig = AgentConfig.parse_file(agent_config_file_path)
    carla_config = CarlaConfig.parse_file(carla_config_file_path)

    # hard code agent config such that it reflect competition requirements
    agent_config.num_laps = num_laps
    carla_runner = CarlaRunner(carla_settings=carla_config,
                               agent_settings=agent_config,
                               npc_agent_class=PurePursuitAgent,
                               competition_mode=True,
                               lap_count=num_laps)
    try:
        my_vehicle = carla_runner.set_carla_world()
        agent = agent_class(vehicle=my_vehicle, agent_settings=agent_config)
        carla_runner.start_game_loop(agent=agent, use_manual_control=False)
        return compute_score(carla_runner)
    except Exception as e:
        print(f"something bad happened during initialization: {e}")
        carla_runner.on_finish()
        logging.error(f"{e}. Might be a good idea to restart Server")
        return 0, 0, False
Exemple #4
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def run(agent_class, agent_config_file_path: Path,
        carla_config_file_path: Path) -> Tuple[float, int, bool]:
    """
    Run the agent along the track and produce a score based on certain metrics
    Args:
        agent_class: the participant's agent
        agent_config_file_path: agent configuration path
        carla_config_file_path: carla configuration path
    Returns:
        float between 0 - 1 representing scores
    """
    agent_config = AgentConfig.parse_file(agent_config_file_path)
    carla_config = CarlaConfig.parse_file(carla_config_file_path)

    carla_runner = CarlaRunner(carla_settings=carla_config,
                               agent_settings=agent_config,
                               npc_agent_class=PurePursuitAgent,
                               competition_mode=True,
                               max_collision=3)
    try:
        my_vehicle = carla_runner.set_carla_world()
        agent = agent_class(vehicle=my_vehicle, agent_settings=agent_config)
        carla_runner.start_game_loop(agent=agent, use_manual_control=True)
        return compute_score(carla_runner)
    except Exception as e:
        print(f"something bad happened during initialization: {e}")
        carla_runner.on_finish()
        logging.error(f"{e}. Might be a good idea to restart Server")
        return 0, 0, False
Exemple #5
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def main():
    agent_config = AgentConfig.parse_file(
        Path("./ROAR_Sim/configurations/agent_configuration.json"))
    carla_config = CarlaConfig.parse_file(
        Path("./ROAR_Sim/configurations/configuration.json"))

    carla_runner = CarlaRunner(carla_settings=carla_config,
                               agent_settings=agent_config,
                               npc_agent_class=PurePursuitAgent)
    ''' Data collection code. Currently unnecessary
    # make csv file to store some data in
    # we have current position x, y, z, current velocity x, y, z, next waypoint position x, y, z,
    # next waypoint direction relative to the current position of the car x, y, z, steering, and throttle
    csvNotes = "{}\n{}\n".format("we have current car position x, y, z, current car velocity x, y, z, next waypoint position x, y, z,", 
                               "next waypoint direction relative to the current position of the car x, y, z, steering, and throttle")
    csvHeader = "px, py, pz, vx, vy, vz, wpx, wpy, wpz, wvx, wvy, wvz, steering, throttle\n"
    with open("tmp/pid_data.csv", "w") as f:
        f.write(csvNotes)
        f.write(csvHeader)
    '''

    try:
        my_vehicle = carla_runner.set_carla_world()
        # agent = PIDAgent(vehicle=my_vehicle, agent_settings=agent_config)
        agent = LQRAgent(vehicle=my_vehicle, agent_settings=agent_config)
        carla_runner.start_game_loop(agent=agent, use_manual_control=False)
    except Exception as e:
        logging.error(f"Something bad happened during initialization: {e}")
        carla_runner.on_finish()
        logging.error(f"{e}. Might be a good idea to restart Server")
Exemple #6
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def main():
    agent_config = AgentConfig.parse_file(Path("../ROAR/configurations/carla_configuration.json"))
    carla_config = CarlaConfig.parse_file(Path("../ROAR_Sim/configurations/carla_configuration.json"))

    carla_runner = CarlaRunner(carla_settings=carla_config, agent_settings=agent_config,
                               npc_agent_class=PurePursuitAgent)
    try:
        my_vehicle = carla_runner.set_carla_world()
        agent = PointCloudMapRecordingAgent(vehicle=my_vehicle, agent_settings=agent_config)
        carla_runner.start_game_loop(agent=agent, use_manual_control=False)
    except Exception as e:
        print("Ending abnormally: ", e)
        carla_runner.on_finish()
        logging.error(f"Hint: Might be a good idea to restart Server. ")
Exemple #7
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def main():
    agent_config = AgentConfig.parse_file(
        Path("./ROAR_Sim/configurations/agent_configuration.json"))
    carla_config = CarlaConfig.parse_file(
        Path("./ROAR_Sim/configurations/configuration.json"))

    carla_runner = CarlaRunner(carla_settings=carla_config,
                               agent_settings=agent_config,
                               npc_agent_class=PurePursuitAgent)
    try:
        my_vehicle = carla_runner.set_carla_world()
        agent = PIDAgent(vehicle=my_vehicle, agent_settings=agent_config)
        carla_runner.start_game_loop(agent=agent, use_manual_control=False)
    except Exception as e:
        logging.error(f"Something bad happened during initialization: {e}")
        carla_runner.on_finish()
        logging.error(f"{e}. Might be a good idea to restart Server")
Exemple #8
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def main():
    """Starts game loop"""
    agent_config = AgentConfig.parse_file(
        Path("./ROAR_Sim/configurations/agent_configuration.json"))
    carla_config = CarlaConfig.parse_file(
        Path("./ROAR_Sim/configurations/configuration.json"))

    carla_runner = CarlaRunner(carla_settings=carla_config,
                               agent_settings=agent_config,
                               npc_agent_class=PurePursuitAgent)
    try:
        my_vehicle = carla_runner.set_carla_world()

        #agent = PIDAgent(vehicle=my_vehicle, agent_settings=agent_config)
        #agent = OccupancyMapAgent(vehicle=my_vehicle, agent_settings=agent_config)
        #agent = PurePursuitAgent(vehicle=my_vehicle, agent_settings=agent_config)

        #agent = JAM1Agent_old(vehicle=my_vehicle, agent_settings=agent_config)  # *** roll controller
        agent = PIDRollAgent(
            vehicle=my_vehicle,
            agent_settings=agent_config)  # *** roll controller

        #agent = JAM1Agent(vehicle=my_vehicle, agent_settings=agent_config)
        #agent = JAM2Agent(vehicle=my_vehicle, agent_settings=agent_config)
        #agent = JAM3Agent_old(vehicle=my_vehicle, agent_settings=agent_config) # *** bstanley
        #agent = JAM3Agent(vehicle=my_vehicle, agent_settings=agent_config)

        # *** use to record new waypoints ***
        # waypointrecord = agent.bstanley_controller.blat_stanley_controller.waypointrecord
        # np.save("James_waypoints", np.array(waypointrecord))

        #agent = RecordingAgent(vehicle=my_vehicle, agent_settings=agent_config)

        #carla_runner.start_game_loop(agent=agent, use_manual_control=True)#*******True for manual control, False auto
        carla_runner.start_game_loop(
            agent=agent, use_manual_control=False
        )  # *******True for manual control, False auto

    except Exception as e:
        logging.error(f"Something bad happened during initialization: {e}")
        carla_runner.on_finish()
        logging.error(f"{e}. Might be a good idea to restart Server")
Exemple #9
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class ROAREnv(gym.Env, ABC):
    def __init__(self, params: Dict[str, Any]):
        """
        carla_config: CarlaConfig,
                 agent_config: AgentConfig,
                 npc_agent_class, num_frames_per_step: int = 1,
                 use_manual_control: bool = False
        Args:
            params:
        """
        self.env_params = params
        carla_config: CarlaConfig = params["carla_config"]
        agent_config: AgentConfig = params["agent_config"]
        ego_agent_class = params.get("ego_agent_class", Agent)
        npc_agent_class = params.get("npc_agent_class", PurePursuitAgent)

        num_frames_per_step: int = params.get("num_frames_per_step", 1)
        # use_manual_control: bool = params.get("use_manual_control", False)
        self.max_collision_allowed: int = params.get("max_collision", 5)
        self.logger = logging.getLogger("ROAR Gym")
        self.agent_config = agent_config
        self.EgoAgentClass = ego_agent_class
        self.npc_agent_class = npc_agent_class
        self.carla_config = carla_config
        self.carla_runner = CarlaRunner(carla_settings=self.carla_config,
                                        agent_settings=self.agent_config,
                                        npc_agent_class=self.npc_agent_class)
        self.num_frames_per_step = num_frames_per_step
        self.agent: Optional[Agent] = None
        self.clock: Optional[pygame.time.Clock] = None

        self.action_space = None  # overwrite in higher classes
        self.observation_space = None  # overwrite in higher classes

    @abstractmethod
    def step(self, action: Any) -> Tuple[Any, float, bool, dict]:
        """
        This provides an example implementation of step, intended to be overwritten

        Args:
            action: Any

        Returns:
            Tuple of Observation, reward, is done, other information
        """
        self.clock.tick_busy_loop(60)
        should_continue, carla_control = self.carla_runner.controller.parse_events(
            client=self.carla_runner.client,
            world=self.carla_runner.world,
            clock=self.clock)

        self.carla_runner.world.tick(self.clock)
        self.carla_runner.fetch_data_async()
        sensor_data, new_vehicle = self.carla_runner.sensor_data.copy(
        ), self.carla_runner.vehicle_state.copy()
        if self.carla_runner.agent_settings.enable_autopilot:
            if self.agent is None:
                raise Exception("In autopilot mode, but no agent is defined.")

            agent_control = self.agent.run_step(vehicle=new_vehicle,
                                                sensors_data=sensor_data)
            carla_control = self.carla_runner.carla_bridge.convert_control_from_agent_to_source(
                agent_control)
        self.carla_runner.world.player.apply_control(carla_control)
        result = self._get_obs(), self.get_reward(), self._terminal(
        ), self._get_info()
        return result

    def reset(self) -> Any:
        if self.agent is not None:
            self.agent.shutdown_module_threads()
        self.carla_runner.on_finish()
        self.carla_runner = CarlaRunner(agent_settings=self.agent_config,
                                        carla_settings=self.carla_config,
                                        npc_agent_class=self.npc_agent_class)
        vehicle = self.carla_runner.set_carla_world()
        self.agent = self.EgoAgentClass(vehicle=vehicle,
                                        agent_settings=self.agent_config,
                                        kwargs=self.env_params)
        self.clock: Optional[pygame.time.Clock] = None
        self._start_game()
        return self._get_obs()

    def render(self, mode='ego'):
        self.carla_runner.world.render(display=self.carla_runner.display)
        pygame.display.flip()

    def _start_game(self):
        try:
            self.logger.debug("Initiating game")
            self.agent.start_module_threads()
            self.clock = pygame.time.Clock()
            self.start_simulation_time = self.carla_runner.world.hud.simulation_time
            self.start_vehicle_position = self.agent.vehicle.transform.location.to_array(
            )
        except Exception as e:
            self.logger.error(e)

    @abstractmethod
    def get_reward(self) -> float:
        """
        Intended to be overwritten
        Returns:

        """
        raise NotImplementedError

    def _terminal(self) -> bool:
        if self.carla_runner.get_num_collision() > self.max_collision_allowed:
            return True
        return self.agent.is_done  # TODO temporary, needs to be changed

    @abstractmethod
    def _get_info(self) -> dict:
        return dict()

    @abstractmethod
    def _get_obs(self) -> Any:
        raise NotImplementedError
Exemple #10
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def main():
    """Starts game loop"""
    carla_config = CarlaConfig.parse_file(Path("./ROAR_Sim/configurations/configuration.json"))
    agent_config = AgentConfig.parse_file(Path("./ROAR_Sim/configurations/agent_configuration.json"))

    """
    Pit Stop:
        Use different kinds of 'set' functions at PitStop to tune/fix your own car!
    """
    pitstop = PitStop(carla_config, agent_config)
    pitstop.set_carla_version(version = "0.9.9")
    pitstop.set_carla_sync_mode(False)
    pitstop.set_autopilot_mode(True)
    pitstop.set_car_color(CarlaCarColor(r = 255,g = 200,b = 00,a = 255))
    pitstop.set_num_laps(num=1)
    pitstop.set_output_data_folder_path("./data/output")
    pitstop.set_output_data_file_name(time.strftime("%Y%m%d-%H%M%S-") + "map-waypoints")
    pitstop.set_max_speed(speed = 200)
    pitstop.set_target_speed(speed = 30)
    print(agent_config.target_speed, " target speed")
    pitstop.set_steering_boundary(boundary = (-1.0, 1.0))
    pitstop.set_throttle_boundary(boundary = (0, 0.5))
    pitstop.set_waypoints_look_ahead_values(values={
                                                    "60": 5,
                                                    "80": 10,
                                                    "120": 20,
                                                    "180": 50})
    pid_value = {
                    "longitudinal_controller": {
                        "40": {
                            "Kp": 0.8,
                            "Kd": 0.2,
                            "Ki": 0
                        },
                        "60": {
                            "Kp": 0.5,
                            "Kd": 0.2,
                            "Ki": 0
                        },
                        "150": {
                            "Kp": 0.2,
                            "Kd": 0.1,
                            "Ki": 0.1
                            }
                    },
                    "latitudinal_controller": {
                        "60": {
                            "Kp": 0.8,
                            "Kd": 0.1,
                            "Ki": 0.1
                        },
                        "100": {
                            "Kp": 0.6,
                            "Kd": 0.2,
                            "Ki": 0.1
                        },
                        "150": {
                            "Kp": 0.5,
                            "Kd": 0.2,
                            "Ki": 0.1
                            }
                    }
                }
    pitstop.set_pid_values(pid_value)

    """Passing configurations to Carla and Agent"""
    carla_runner = CarlaRunner(carla_settings=carla_config, # ROAR Academy: fine
                               agent_settings=agent_config, # ROAR Academy: fine
                               npc_agent_class=PurePursuitAgent)
    try:
        my_vehicle = carla_runner.set_carla_world()

        agent = PIDAgent(vehicle=my_vehicle, agent_settings=agent_config)
        # agent = WaypointGeneratigAgent(vehicle=my_vehicle, agent_settings=agent_config)
        
        carla_runner.start_game_loop(agent=agent, use_manual_control=False) # for PIDAgent
        # carla_runner.start_game_loop(agent=agent, use_manual_control=True) # for WaypointGeneratingAgent
    
    except Exception as e:
        logging.error(f"Something bad happened during initialization: {e}")
        carla_runner.on_finish()
        logging.error(f"{e}. Might be a good idea to restart Server")