SA-Attack: Speed-adaptive stealthy adversarial attack on trajectory prediction

arXiv:2404.12612v1 Announce Type: new
Abstract: Trajectory prediction is critical for the safe planning and navigation of automated vehicles. The trajectory prediction models based on the neural networks are vulnerable to adversarial attacks. Previous attack methods have achieved high attack success rates but overlook the adaptability to realistic scenarios and the concealment of the deceits. To address this problem, we propose a speed-adaptive stealthy adversarial attack method named SA-Attack. This method searches the sensitive region of trajectory prediction models and generates …

adversarial arxiv cs.cv cs.lg prediction speed trajectory type