Preprint
Aug 2026
TAU-Agent: An Agentic Retrieval-Augmented Framework for Traffic Anomaly Understanding
This work proposes TAU-Agent, an agentic retrieval-augmented framework for traffic anomaly understanding that orchestrates two visual perception tools to retrieve and select query-relevant evidence, including captions, temporal intervals, and object trajectories.
Yuqiang Lin, Yan Shi, Sam Lockyer et al.
· 1 citation