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Real-time drowsiness detection system for an intelligent vehicle

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3 Author(s)
Marco Javier Flores ; Department of System Engineering and Automation from Universidad Carlos III de Madrid, C. Butarque 15 CP 28911, Leganés Spain ; Jose Maria Armingol ; Arturo de la Escalera

In the last years, the traffic accidents study is become important because they produce several died and hurt around the world. To help in reducing this fatality, in this paper, a new advanced driver assistance system (ADAS) for automatic driver's drowsiness detection based on visual information and artificial intelligent is presented. This system works on several stages to be fully automatic. In addition, the aim of this algorithm is to locate and to track the face and the eyes to compute a drowsiness index. Examples of different driver's images taken over real vehicle are shown to validate the algorithm that works in real time.

Published in:

Intelligent Vehicles Symposium, 2008 IEEE

Date of Conference:

4-6 June 2008