Enhancing Vision-Language Models for Autonomous Driving through Task-Specific Prompting and Spatial Reasoning

arXiv — cs.CV•Wednesday, October 29, 2025 at 4:00:00 AM

A new technical report details an innovative approach to enhancing Vision-Language Models (VLMs) for autonomous driving, presented at the RoboSense Challenge during IROS 2025. This framework focuses on improving scene understanding through a systematic method that includes task-specific prompting and spatial reasoning. This advancement is significant as it aims to boost the capabilities of autonomous vehicles in perception, prediction, planning, and corruption detection, ultimately contributing to safer and more efficient driving technologies.

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