The paper reports that a VLM-guided end-to-end driving system reduces average collision rates on nuScenes by 31.82% compared with its VAD baseline, while also generating text explanations.
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving,
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VLAD: A VLM-Augmented Autonomous Driving Framework with Hierarchical Planning and Interpretable Decision Process
The paper reports that a VLM-guided end-to-end driving system reduces average collision rates on nuScenes by 31.82% compared with its VAD baseline, while also generating text explanations.