Self-Driving Car Perception

Perception stack processes sensor data into drivable path. Multi-sensor fusion handles edge cases.

Architecture

```python class PerceptionStack: def init(self): self.camera = CameraArray(n=8) # 360° coverage self.lidar = LiDAR(range=200) # 200m range self.radar = Radar(n=6)

def perceive(self):
    # Sensor fusion
    camera_detections = self.yolo_detector(self.camera.read())
    lidar_points = self.lidar.scan()
    radar_objects = self.radar.detect()

    # Fuse into world model
    objects = self.sensor_fusion(camera_detections, lidar_points, radar_objects)

    # Path planning
    drivable_path = self.plan_path(objects)
    return drivable_path

``` Related: Autonomous Vehicle Cartel (2055)