AccidentGPT: Accident Analysis and Prevention from V2X Environmental Perception with Multi-modal Large Model

Understand

Traffic accidents, being a significant contributor to both human casualties and property damage, have long been a focal point of research for many scholars in the field of traffic safety.

• However, previous studies, whether focusing on static environmental assessments or dynamic driving analyses, as well as pre-accident predictions or post-accident rule analyses, have typically been conducted in isolation.
• There has been a lack of an effective framework for developing a comprehensive understanding and application of traffic safety.
• To address this gap, this paper introduces AccidentGPT, a comprehensive accident analysis and prevention multi-modal large model.