Article

SAGE: Work-zone path prediction under temporary traffic control combining vision-language and geometric frameworks

The authors propose the SAGE (Semantic-to-Action Grounded Execution) framework, which uses trajectories output by a vision-language model (VLM) as preferences over complete geometric candidate paths, and combines each candidate's geometric score with its agreement with the VLM trajectory through rank fusion.

Part of the event: SAGE: Vision-Language and Geometry Fusion for Work Zone Path Prediction

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