Absolute Localization using Visual Data for Autonomous Vehicles

Safa Ouerghi, Rémi Boutteau, Pierre Merriaux, Nicolas Ragot, Xavier Savatier, Pascal Vasseur

2016

Abstract

In this paper, we propose an algorithm for estimating the absolute pose of a vehicle using visual data. Our method works in two steps: first we construct a visual map of geolocalized landmarks, then we localize the vehicle using this map. The main advantages of our method are that the localization of the vehicle is absolute and that it requires only a monocular camera and a low-cost GPS. We firstly outline our method, then we present our experimental results on real images using a reference database: the KITTI Vision Benchmark Suite.

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Paper Citation


in Harvard Style

Ouerghi S., Boutteau R., Merriaux P., Ragot N., Savatier X. and Vasseur P. (2016). Absolute Localization using Visual Data for Autonomous Vehicles . In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 595-601. DOI: 10.5220/0005682105950601


in Bibtex Style

@conference{visapp16,
author={Safa Ouerghi and Rémi Boutteau and Pierre Merriaux and Nicolas Ragot and Xavier Savatier and Pascal Vasseur},
title={Absolute Localization using Visual Data for Autonomous Vehicles},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016)},
year={2016},
pages={595-601},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005682105950601},
isbn={978-989-758-175-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016)
TI - Absolute Localization using Visual Data for Autonomous Vehicles
SN - 978-989-758-175-5
AU - Ouerghi S.
AU - Boutteau R.
AU - Merriaux P.
AU - Ragot N.
AU - Savatier X.
AU - Vasseur P.
PY - 2016
SP - 595
EP - 601
DO - 10.5220/0005682105950601