A VLM-Enhanced Framework for Comprehensive Traffic Sign Condition Assessment Integrating Daytime Visual Performance and Nighttime Retroreflectivity Evaluation
一种用于综合交通标志状况评估的VLM增强框架,集成白天视觉性能和夜间逆反射率评估
机构 * Department of Civil and Environmental Engineering University of Missouri- Columbia(土木与环境工程系密苏里大学哥伦比亚分校)
专题命中 激光雷达 :LiDAR(abstract);分类 cs.CV
AI总结 研究开发用于综合评估交通标志状况的新框架,利用微调视觉语言模型评估白天视觉性能,结合激光雷达校准的逆反射率评估夜间性能,集成到标志状况指数,提供经济有效的评估方法,LLaVA和Qwen表现优,还标记出需更换的标志。
Comments 21 pages, 7 figures, 5 tables. Preprint. An earlier version of this work was presented at the 105th Annual Meeting of the Transportation Research Board (TRB), January 2026