[2603.04898] U-Parking: Distributed UWB-Assisted Autonomous Parking System with Robust Localization and Intelligent Planning
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Abstract page for arXiv paper 2603.04898: U-Parking: Distributed UWB-Assisted Autonomous Parking System with Robust Localization and Intelligent Planning
Computer Science > Machine Learning arXiv:2603.04898 (cs) [Submitted on 5 Mar 2026] Title:U-Parking: Distributed UWB-Assisted Autonomous Parking System with Robust Localization and Intelligent Planning Authors:Yiang Wu, Qiong Wu, Pingyi Fan, Kezhi Wang, Wen Chen, Guoqiang Mao, Khaled B. Letaief View a PDF of the paper titled U-Parking: Distributed UWB-Assisted Autonomous Parking System with Robust Localization and Intelligent Planning, by Yiang Wu and 5 other authors View PDF HTML (experimental) Abstract:This demonstration presents U-Parking, a distributed Ultra-Wideband (UWB)-assisted autonomous parking system. By integrating Large Language Models (LLMs)-assisted planning with robust fusion localization and trajectory tracking, it enables reliable automated parking in challenging indoor environments, as validated through real-vehicle demonstrations. Comments: Subjects: Machine Learning (cs.LG); Networking and Internet Architecture (cs.NI) Cite as: arXiv:2603.04898 [cs.LG] (or arXiv:2603.04898v1 [cs.LG] for this version) https://doi.org/10.48550/arXiv.2603.04898 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Qiong Wu [view email] [v1] Thu, 5 Mar 2026 07:38:51 UTC (499 KB) Full-text links: Access Paper: View a PDF of the paper titled U-Parking: Distributed UWB-Assisted Autonomous Parking System with Robust Localization and Intelligent Planning, by Yiang Wu and 5 other authorsView PDFHTML (experimental)TeX Source view li...