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Please use this identifier to cite or link to this item: https://bura.brunel.ac.uk/handle/2438/33617
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dc.contributor.authorWu, Yiang-
dc.contributor.authorWu, Qiong-
dc.contributor.authorFan, Pingyi-
dc.contributor.authorWang, Kezhi-
dc.contributor.authorChen, Wen-
dc.contributor.authorMao, Guoqiang-
dc.contributor.authorLetaief, Khaled B-
dc.coverage.spatialTokyo, Japan-
dc.date.accessioned2026-07-30T16:01:42Z-
dc.date.available2026-07-30T16:01:42Z-
dc.date.issued2026-05-18-
dc.identifier.citationWu, 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.en_US
dc.identifier.isbn9798331549619-
dc.identifier.issn0743-166X-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/33617-
dc.descriptionA 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).en_US
dc.description.abstractThis 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.en_US
dc.description.sponsorship10.13039/501100001809-National Natural Science Foundation of China; 10.13039/100006190-Research and Development.en_US
dc.format.extentpp. 2391–2392-
dc.format.mediumPrint-Electronic-
dc.languageEnglish-
dc.language.isoen_USen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.rightsLicence for published version: Publisher's own licence-
dc.rights.urihttps://arxiv.org/licenses/nonexclusive-distrib/1.0/-
dc.sourceIEEE INFOCOM 2026 - IEEE Conference on Computer Communications-
dc.subjectmachine learning (cs.LG);en_US
dc.subjectnetworking and internet architecture (cs.NI)en_US
dc.titleU-Parking: Distributed UWB-Assisted Autonomous Parking System with Robust Localization and Intelligent Planningen_US
dc.typeConference paperen_US
dc.identifier.doihttps://doi.org/10.1109/infocom59046.2026.11571645-
dc.relation.isPartOfIEEE INFOCOM 2026 - IEEE Conference on Computer Communications-
pubs.finish-date2026-05-21-
pubs.publication-statusPublished-
pubs.start-date2026-05-18-
dc.identifier.eissn2641-9874-
dcterms.dateAccepted2025-12-08-
dcterms.issued2026-05-18-
dc.date.updated2026-07-30T15:55:47Z-
dc.rights.holderInstitute of Electrical and Electronics Engineers (IEEE)-
dc.contributor.orcidWang, Kezhi [0000-0001-8602-0800]-
Appears in Collections:Department of Computer Science Research Papers

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