Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving

Overview

The study evaluates physically consistent adversarial objects against camera–LiDAR detection. It analyzes vulnerable image features and 3D projection effects, then examines adversarial training and feature denoising, including remaining false-positive limitations.