""" scenarios/braking.py -------------------- Lead Vehicle Hard Braking Scenario. A vehicle is spawned directly ahead of the ego on the same lane and driven by the Traffic Manager. At a configurable frame, the lead vehicle performs an emergency stop, creating a forward-collision test scenario for ADAS evaluation. """ import sys import os sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) import carla import config from scenarios.base import ScenarioBase class BrakingScenario(ScenarioBase): """ Scenario: Lead vehicle hard braking. Timeline -------- Frame 1 … BRAKE_FRAME-1 : Lead vehicle cruises ahead at cruise_speed km/h. Frame BRAKE_FRAME+ : Lead vehicle applies emergency stop. """ LEAD_DISTANCE_M = getattr(config, "SCENARIO_LEAD_DISTANCE", 25) BRAKE_FRAME = getattr(config, "SCENARIO_BRAKE_FRAME", 80) CRUISE_SPEED = 30 # km/h, set via TM percentage of speed limit def __init__(self): super().__init__() self._lead_vehicle = None self._braked = False # ------------------------------------------------------------------ # ScenarioBase interface # ------------------------------------------------------------------ @property def name(self) -> str: return "braking" def setup(self, world, ego_vehicle, traffic_manager) -> None: self._world = world self._ego = ego_vehicle self._tm = traffic_manager bp_lib = world.get_blueprint_library() # Pick a distinct vehicle blueprint for the lead car lead_bps = bp_lib.filter("vehicle.tesla.model3") if not lead_bps: lead_bps = bp_lib.filter("vehicle.*") lead_bp = lead_bps[0] # Place lead vehicle ahead on the same lane spawn_wp = self._get_waypoint_ahead(self.LEAD_DISTANCE_M, lane_offset=0) if spawn_wp is None: raise RuntimeError( "[BrakingScenario] Could not find waypoint ahead of ego. " "Ensure ego is on a driveable lane." ) self._lead_vehicle = world.try_spawn_actor(lead_bp, spawn_wp.transform) if self._lead_vehicle is None: raise RuntimeError( "[BrakingScenario] Failed to spawn lead vehicle at waypoint " f"{spawn_wp.transform.location}. Spot may be occupied." ) self._actors.append(self._lead_vehicle) # TM: cruise just below the speed limit self._lead_vehicle.set_autopilot(True, traffic_manager.get_port()) traffic_manager.vehicle_percentage_speed_difference( self._lead_vehicle, -10 # 10 % above speed limit → ~33–44 km/h ) traffic_manager.auto_lane_change(self._lead_vehicle, False) traffic_manager.distance_to_leading_vehicle(self._lead_vehicle, 0) print( f"[{self.name}] Lead vehicle spawned {self.LEAD_DISTANCE_M} m ahead. " f"Emergency brake at frame {self.BRAKE_FRAME}." ) def step(self, frame: int, ego_vehicle) -> None: if frame == self.BRAKE_FRAME and not self._braked: if self._lead_vehicle and self._lead_vehicle.is_alive: # Disengage TM autopilot and apply full brake self._lead_vehicle.set_autopilot(False) control = carla.VehicleControl() control.throttle = 0.0 control.brake = 1.0 control.hand_brake = True self._lead_vehicle.apply_control(control) self._braked = True print(f"[{self.name}] EMERGENCY BRAKE applied at frame {frame}.") def cleanup(self) -> None: self._destroy_actors() print(f"[{self.name}] Cleanup complete.") # ------------------------------------------------------------------ # Optional overrides # ------------------------------------------------------------------ def get_scenario_metadata(self) -> dict: return { "scenario": self.name, "lead_distance_m": self.LEAD_DISTANCE_M, "brake_frame": self.BRAKE_FRAME, "braked": self._braked, }