Exploring Adversarial Robustness of LiDAR Semantic Segmentation in Autonomous Driving
Deep learning networks have demonstrated outstanding performance in 2D and 3D vision tasks.However, recent research demonstrated that these networks result in failures when imperceptible perturbations are added to the input known as adversarial attacks.This phenomenon has recently received increased interest in the field of autonomous vehicles and