Please use this identifier to cite or link to this item: https://bura.brunel.ac.uk/handle/2438/33617
Title: U-Parking: Distributed UWB-Assisted Autonomous Parking System with Robust Localization and Intelligent Planning
Authors: Wu, Yiang
Wu, Qiong
Fan, Pingyi
Wang, Kezhi
Chen, Wen
Mao, Guoqiang
Letaief, Khaled B
Keywords: machine learning (cs.LG);;networking and internet architecture (cs.NI)
Issue Date: 18-May-2026
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: Wu, Y. et al. (2026) 'U-Parking: Distributed UWB-Assisted Autonomous Parking System with Robust Localization and Intelligent Planning', IEEE INFOCOM 2026 - IEEE Conference on Computer Communications, Tokyo, Japan, 18–21 May. pp. 2391–2392. doi: 10.1109/infocom59046.2026.11571645.
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.
Description: A version of the accepted manuscript is available in arXiv at arXiv:2603.04898v1 [cs.LG] (https://arxiv.org/abs/2603.04898). Comments: This paper has been accepted by infocom. The source code has been released at: https://github.com/qiongwu86/U-Parking . Submission history: From: Qiong Wu: [v1] Thu, 5 Mar 2026 07:38:51 UTC (499 KB).
URI: https://bura.brunel.ac.uk/handle/2438/33617
DOI: https://doi.org/10.1109/infocom59046.2026.11571645
ISBN: 9798331549619
ISSN: 0743-166X
Appears in Collections:Department of Computer Science Research Papers

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