Real-World Adversarial Testing Platform for Autonomous Driving

This research paper presents a closed-loop evaluation platform for end-to-end autonomous driving systems, focusing on adversarial testing in real-world scenarios. The work's contribution is likely to be a novel approach to stress-testing these complex systems, which has the potential to improve safety.