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cs.CV2026
SignReasoner: Compositional Reasoning for Complex Traffic Sign Understanding via Functional Structure Units
Ruibin Wang, Zhenyu Lin, Xinhai Zhao
Accurate semantic understanding of complex traffic signs-including those with intricate layouts, multi-lingual text, and composite symbols-is critical for autonomous driving safety…
cs.CV2025
Drive-R1: Bridging Reasoning and Planning in VLMs for Autonomous Driving with Reinforcement Learning
Yue Li, Meng Tian, Dechang Zhu +4
Large vision-language models (VLMs) for autonomous driving (AD) are evolving beyond perception and cognition tasks toward motion planning. However, we identify two critical challen…