Robust LiDAR-Based Parking Slot Detection and Pose Estimation for Shell Eco-Marathon Vehicles

Miklós Unger, Ernő Horváth

2025

Abstract

This paper introduces the winning algorithm of the 2024 Shell Eco-marathon Autonomous Urban Challenge for autonomous parking. The task requires the vehicle to identify an available parking spot from multiple alternatives and precisely navigate into it, fully remaining within the designated area without touching any lane markings. Successful task execution requires not only reliable long-range detection of the parking space but also an accurate final orientation relative to the parking spot. To solve this task, we propose a novel method which relies on the combination neural networks and traditional point cloud processing methods. Since this is a highly specific problem tailored to the Shell Eco-marathon setting, and no publicly available solutions from other teams have been observed, our earlier algorithm serves as the primary baseline for comparison.

Paper Citation

in Harvard Style

Unger M. and Horváth E. (2025). Robust LiDAR-Based Parking Slot Detection and Pose Estimation for Shell Eco-Marathon Vehicles. In Proceedings of the 22nd International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-770-2, SciTePress, pages 486-493. DOI: 10.5220/0013772900003982

in Bibtex Style

@conference{icinco25,
author={Miklós Unger and Ernő Horváth},
title={Robust LiDAR-Based Parking Slot Detection and Pose Estimation for Shell Eco-Marathon Vehicles},
booktitle={Proceedings of the 22nd International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2025},
pages={486-493},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013772900003982},
isbn={978-989-758-770-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 22nd International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - Robust LiDAR-Based Parking Slot Detection and Pose Estimation for Shell Eco-Marathon Vehicles
SN - 978-989-758-770-2
AU - Unger M.
AU - Horváth E.
PY - 2025
SP - 486
EP - 493
DO - 10.5220/0013772900003982
PB - SciTePress