Fusion is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection

arXiv:2304.14614v2 Announce Type: replace-cross
Abstract: Multi-sensor fusion (MSF) is widely used in autonomous vehicles (AVs) for perception, particularly for 3D object detection with camera and LiDAR sensors. The purpose of fusion is to capitalize on the advantages of each modality while minimizing its weaknesses. Advanced deep neural network (DNN)-based fusion techniques have demonstrated the exceptional and industry-leading performance. Due to the redundant information in multiple modalities, MSF is also recognized as a general defence strategy against adversarial attacks. In this …

advanced arxiv attacks autonomous autonomous vehicles camera cs.cr cs.cv detection fusion lidar modal object purpose sensor sensors single vehicles weaknesses