AI Agents 相关度: 7/10

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
arXiv: 2603.04898v1 发布: 2026-03-05 更新: 2026-03-05
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AI 摘要

U-Parking系统结合UWB定位、LLM规划和轨迹跟踪，实现可靠的室内自主泊车。

主要贡献

  • 提出基于UWB辅助的分布式自主泊车系统
  • 使用LLM进行智能规划
  • 实现鲁棒的融合定位和轨迹跟踪

方法论

融合UWB定位信息，利用LLM进行泊车路径规划，并通过轨迹跟踪控制车辆。

原文摘要

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.

标签

自主泊车 UWB LLM 定位 规划

arXiv 分类

cs.LG cs.NI