Title :
Vision-based estimation of driving inattention fused via Dempster-Shafer theory
Author :
Li, Xuanpeng ; Seignez, Emmanuel ; Loonis, Pierre ; Lambert, Alain
Author_Institution :
ESIEE-Amiens, Amiens, France
Abstract :
Driving inattention is one of the most serious traffic accidents cause whereas a monitoring system of the driver´s vigilance could be used as a prevention. In this paper, we propose an intelligent system that estimates the driver fatigue using combination of lane tracking and face detection fused via Dempster-Shafer theory. The approach is aimed to estimate the fatigue based on the expert knowledge for driving vigilance. The method can compensate for the impact of poor detection and improve the accuracy of fatigue alerting.
Keywords :
computer vision; expert systems; face recognition; inference mechanisms; road accidents; road traffic; tracking; traffic engineering computing; Dempster-Shafer theory; driver fatigue estimation; driving inattention; driving vigilance; expert knowledge; face detection; intelligent system; lane tracking; monitoring system; traffic accident; vision-based estimation; Estimation; Face; Face detection; Fatigue; Feature extraction; Lighting; Vehicles;
Conference_Titel :
Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2012 IEEE International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-1-4673-1420-6
DOI :
10.1109/CYBER.2012.6392586
