AIBullisharXiv – CS AI · 6h ago6/10
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V2I Work Zone Geometry Reconstruction with Pose-Conditioned UWB Range Denoising
Researchers propose a machine learning system to improve ultra-wideband (UWB) range measurement accuracy for connected autonomous vehicles navigating work zones, using pose-conditioned denoising to filter out signal errors from obstacles and interference. The method reduces measurement error by 66.9% compared to raw data and demonstrates robust performance in real-world field tests, advancing V2I infrastructure capabilities for autonomous vehicle safety.