U-Parking: Distributed UWB-Assisted Autonomous Parking System with Robust Localization and Intelligent Planning

Yiang Wu; Qiong Wu; Pingyi Fan; Kezhi Wang; Wen Chen; Guoqiang Mao; Khaled B. Letaief

U-Parking: Distributed UWB-Assisted Autonomous Parking System with Robust Localization and Intelligent Planning

Machine Learning 2026-03-06 v1 Networking and Internet Architecture

Authors: Yiang Wu , Qiong Wu , Pingyi Fan , Kezhi Wang , Wen Chen , Guoqiang Mao , Khaled B. Letaief

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.

Keywords

ultra-wideband localization unmanned aerial vehicle autonomous driving

Cite

@article{arxiv.2603.04898,
  title  = {U-Parking: Distributed UWB-Assisted Autonomous Parking System with Robust Localization and Intelligent Planning},
  author = {Yiang Wu and Qiong Wu and Pingyi Fan and Kezhi Wang and Wen Chen and Guoqiang Mao and Khaled B. Letaief},
  journal= {arXiv preprint arXiv:2603.04898},
  year   = {2026}
}

Comments

This paper has been accepted by infocom. The source code has been released at: https://github.com/qiongwu86/U-Parking

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