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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, a distributed Ultra-Wideband (UWB)-assisted autonomous parking system, enables reliable automated parking in challenging indoor environments, as validated through real-vehicle demonstrations.

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.

U-Parking: Distributed UWB-Assisted Autonomous Parking System with Robust Localization and Intelligent Planning

TL;DR

U-Parking, a distributed Ultra-Wideband (UWB)-assisted autonomous parking system, enables reliable automated parking in challenging indoor environments, as validated through real-vehicle demonstrations.

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.
Paper Structure (4 sections, 3 figures, 1 table)

This paper contains 4 sections, 3 figures, 1 table.

Table of Contents

  1. Introduction
  2. Proposed Method
  3. Demonstration and Experiment
  4. Conclusion

Figures (3)

  • Figure 1: The system architecture of U-Parking.
  • Figure 2: Intelligent Planning.
  • Figure 3: UWB Localization Result.