On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles. (arXiv:2201.05057v3 [cs.CV] UPDATED)

Trajectory prediction is a critical component for autonomous vehicles (AVs)
to perform safe planning and navigation. However, few studies have analyzed the
adversarial robustness of trajectory prediction or investigated whether the
worst-case prediction can still lead to safe planning. To bridge this gap, we
study the adversarial robustness of trajectory prediction models by proposing a
new adversarial attack that perturbs normal vehicle trajectories to maximize
the prediction error. Our experiments on three models and three datasets show
that the adversarial …

adversarial autonomous autonomous vehicles prediction robustness