Author

Adrian Evans

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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