You Can't See Me: Physical Removal Attacks on LiDAR-based Autonomous Vehicles Driving Frameworks. (arXiv:2210.09482v1 [cs.CR])

Autonomous Vehicles (AVs) increasingly use LiDAR-based object detection
systems to perceive other vehicles and pedestrians on the road. While existing
attacks on LiDAR-based autonomous driving architectures focus on lowering the
confidence score of AV object detection models to induce obstacle misdetection,
our research discovers how to leverage laser-based spoofing techniques to
selectively remove the LiDAR point cloud data of genuine obstacles at the
sensor level before being used as input to the AV perception. The ablation of
this critical LiDAR …

attacks autonomous autonomous vehicles frameworks lidar physical