most citedOn-Board Vision-Language Models for Personalized Autonomous Vehicle Motion Control: System Design and Real-World Validation

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cs.CV2026

ST-Prune: Training-Free Spatio-Temporal Token Pruning for Vision-Language Models in Autonomous Driving

Lin Sha, Haiyun Guo, Tao Wang +4

Vision-Language Models (VLMs) have become central to autonomous driving systems, yet their deployment is severely bottlenecked by the massive computational overhead of multi-view c…