Over Two Years of Challenging Environmental Conditions for Localization: The IPLT Dataset

Youssef Bouaziz, Youssef Bouaziz, Eric Royer, Guillaume Bresson, Michel Dhome

2021

Abstract

This paper presents a new challenging dataset for autonomous driving applications: Institut Pascal Long-Term — IPLT — Dataset which was collected over two years and it contains, at the moment, 127 sequences and it still growing. This dataset has been captured in a parking lot where our experimental vehicle has followed the same path with slight lateral and angular deviations while we made sure to incorporate various environmental conditions caused by luminance, weather, seasonal changes.

Paper Citation

in Harvard Style

Bouaziz Y., Royer E., Bresson G. and Dhome M. (2021). Over Two Years of Challenging Environmental Conditions for Localization: The IPLT Dataset. In Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-522-7, pages 383-387. DOI: 10.5220/0010518303830387

in Bibtex Style

@conference{icinco21,
author={Youssef Bouaziz and Eric Royer and Guillaume Bresson and Michel Dhome},
title={Over Two Years of Challenging Environmental Conditions for Localization: The IPLT Dataset},
booktitle={Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2021},
pages={383-387},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010518303830387},
isbn={978-989-758-522-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Over Two Years of Challenging Environmental Conditions for Localization: The IPLT Dataset
SN - 978-989-758-522-7
AU - Bouaziz Y.
AU - Royer E.
AU - Bresson G.
AU - Dhome M.
PY - 2021
SP - 383
EP - 387
DO - 10.5220/0010518303830387