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

TL;DR
U-Parking is an autonomous parking system that combines UWB localization, LLM-assisted planning, and trajectory tracking to enable reliable indoor parking, demonstrated on real vehicles.
Contribution
It introduces a novel distributed UWB-assisted parking system integrating LLMs for planning and robust localization for indoor environments.
Findings
Successful real-vehicle demonstrations in challenging indoor settings
Effective fusion localization and trajectory tracking achieved
Enhanced reliability of autonomous parking in complex environments
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.
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Taxonomy
TopicsIndoor and Outdoor Localization Technologies · Smart Parking Systems Research · Robotic Path Planning Algorithms
