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Conclusions: The rapid base models are efficient for factual classification, and RAG enhances performance on data similar to the knowledge base, whereas CoT is indispensable for subjective assessment.

Abstract: Research on vision-based obstacle classification models is crucial for advancing autonomous driving technology. High-precision obstacle classification models empower vehicles to avoid ...

1 Department of Computer Science, Rutgers University, New Brunswick, NJ, USA. 2 Department of Computer Science, Rochester Institute of Technology, Rochester, NY, USA. This paper presents a ...