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.