Comprehensive Evaluation of Large Vision-Language Models on Real-World Self-Driving Corner Cases

Large Vision-Language Models (LVLMs) have significant potential to enhance interpretable autonomous driving, but current evaluations primarily focus on common scenarios, lacking quantifiable assessment in severe road corner cases.