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

arXiv: https://arxiv.org/abs/2603.04898 · HTML: https://mlsanity.com/paper/2603.04898/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 3 of its 11 references that are in the map.
- First posted on arXiv 5 Mar 2026.

## Builds on (most cited first, 3 of 3)

- [LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning](https://mlsanity.com/paper/2407.02511/) (2024)
- [DRL-Based Federated Self-Supervised Learning for Task Offloading and Resource Allocation in ISAC-Enabled Vehicle Edge Computing](https://mlsanity.com/paper/2408.14831/) (2024)
- [Robust Mobile Robot Path Planning via LLM-Based Dynamic Waypoint Generation](https://mlsanity.com/paper/2501.15901/) (2025)

## Abstract (arXiv)

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.