AI RESEARCH
CRASH: Cognitive Reasoning Agent for Safety Hazards in Autonomous Driving
arXiv CS.AI
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ArXi:2603.15364v1 Announce Type: new As AVs grow in complexity and diversity, identifying the root causes of operational failures has become increasingly complex. The heterogeneity of system architectures across manufacturers, ranging from end-to-end to modular designs, together with variations in algorithms and integration strategies, limits the standardization of incident investigations and hinders systematic safety analysis. This work examines real-world AV incidents reported in the NHTSA database.