Using automotive radar Doppler as supervision, STAR-VLM enables a vision-language model to estimate metric radial velocity and motion state of objects from video, outperforming zero-shot task-specific baselines on a nuScenes-based benchmark.
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STAR-VLM: Spatiotemporal Grounding Vision-Language Models for Motion and Velocity Estimation via Automotive Radar Supervision
Using automotive radar Doppler as supervision, STAR-VLM enables a vision-language model to estimate metric radial velocity and motion state of objects from video, outperforming zero-shot task-specific baselines on a nuScenes-based benchmark.