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ChatBEV: Empowering Traffic Scene Understanding and Simulation via Vision-Language Model

Xu, Qingyao et al.
arXiv (All) · Papers
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artificial-intelligencecomputer-vision-and-pattern-recognition
Comprehensive traffic scene understanding is a foundational capability for Intelligent Transportation Systems (ITS) underpinning applications such as traffic simulation. While VisionLanguage Models (VLMs) have demonstrated strong reasoning potential, their application to Bird's-Eye View (BEV) maps i
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