Self-Driving Car Perception Stack

Self-Driving Car Perception Stack

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

cameradetections = self.yolodetector(self.camera.read()) lidarpoints = self.lidar.scan() radarobjects = self.radar.detect()

Fuse into world model

objects = self.sensorfusion(cameradetections, lidarpoints, radarobjects)

Path planning

drivablepath = self.planpath(objects) return drivable_path \\\` Related: Autonomous Vehicle Cartel (2055)