Toward Robust Sensing for Autonomous Vehicles: An Adversarial Perspective
Toward Robust Sensing for Autonomous Vehicles: An Adversarial Perspective
Autonomous Vehicles rely on accurate and robust sensor observations for safety critical decision-making in a variety of conditions. Fundamental building blocks of such systems are sensors and classifiers that process ultrasound, RADAR, GPS, LiDAR and camera signals~\cite{Khan2018}. It is of primary importance that the resulting decisions are robust to perturbations, …