SlowPerception: Physical-World Latency Attack against Visual Perception in Autonomous Driving

arXiv:2406.05800v1 Announce Type: new
Abstract: Autonomous Driving (AD) systems critically depend on visual perception for real-time object detection and multiple object tracking (MOT) to ensure safe driving. However, high latency in these visual perception components can lead to significant safety risks, such as vehicle collisions. While previous research has extensively explored latency attacks within the digital realm, translating these methods effectively to the physical world presents challenges. For instance, existing attacks rely on perturbations that are unrealistic or impractical for …

abstract arxiv autonomous autonomous driving components cs.cr cs.cv detection driving however latency multiple object perception real-time research risks safe safety safety risks systems tracking type visual while world