Abstract: Theoretical driving knowledge and hazard perception capability are essential for large language models (LLMs) to be qualified for driving or assisting autonomous vehicles. Our prior study ...

Abstract: Data-driven models, especially deep learning classifiers often demonstrate great success on clean datasets. Yet, they remain vulnerable to common data distortions such as adversarial and ...