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Authors: Marwa Ziadia 1 ; Sousso Kelouwani 1 ; Ali Amamou 1 ; Yves Dubé 1 and Kodjo Agbossou 2

Affiliations: 1 Departement of Mechanical Enginnering, Université du Qué aT̀Trois-Riviéres and Canada ; 2 Department of Electricl Engineering, Université du Qué aT̀Trois-Riviéres and Canada

Keyword(s): Vehicle Technology, Collision Avoidance, Mobileye, Advanced Driving Assistance System, Winter Navigation.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Analytics ; Cardiovascular Technologies ; Computing and Telecommunications in Cardiology ; Data Engineering ; Decision Support Systems ; Decision Support Systems, Remote Data Analysis ; Health Engineering and Technology Applications ; Knowledge-Based Systems ; Symbolic Systems

Abstract: This paper explores the performance of an Advanced Driving Assistance System (ADAS) during navigation in urban traffic and a winter condition. The selected ADAS technology, Mobileye, has been integrated into a hydrogen electric vehicle. A set of three cameras (visible spectrum) has also been installed to give a surrounding view of the test vehicle. The tests were carried out during the dusk as well as in the night in winter condition. Using Matlab, the messages provided by Mobileye system have been analyzed. More than 2800 samples (short sequences of 5s Mobileye messages) have been processed and compared with the corresponding video samples recorded by the three cameras. In average, the selected ADAS device was able to provide 99% of true positive vehicle detection and classification, even in poor ambient lighting condition in winter. However, 72% of samples involving a pedestrian was correctly classified.

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Paper citation in several formats:
Ziadia, M.; Kelouwani, S.; Amamou, A.; Dubé, Y. and Agbossou, K. (2019). Using an Intelligent Vision System for Obstacle Detection in Winter Condition. In Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS; ISBN 978-989-758-374-2; ISSN 2184-495X, SciTePress, pages 562-568. DOI: 10.5220/0007766905620568

@conference{vehits19,
author={Marwa Ziadia. and Sousso Kelouwani. and Ali Amamou. and Yves Dubé. and Kodjo Agbossou.},
title={Using an Intelligent Vision System for Obstacle Detection in Winter Condition},
booktitle={Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS},
year={2019},
pages={562-568},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007766905620568},
isbn={978-989-758-374-2},
issn={2184-495X},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS
TI - Using an Intelligent Vision System for Obstacle Detection in Winter Condition
SN - 978-989-758-374-2
IS - 2184-495X
AU - Ziadia, M.
AU - Kelouwani, S.
AU - Amamou, A.
AU - Dubé, Y.
AU - Agbossou, K.
PY - 2019
SP - 562
EP - 568
DO - 10.5220/0007766905620568
PB - SciTePress