Automatic traffic surveillance system leveraging generative AI large language models
A generative AI-based traffic surveillance system leveraging large language models (LLMs) to enable timely and context-rich interpretation of traffic events, demonstrating the system's effectiveness in producing context-aware traffic scene descriptions, improving operational decision-making, and enhancing roadway safety.
David Kesse
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