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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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