Data Fusion to Develop a Driver Drowsiness Detection System with Robustness to Signal Loss

This study proposes a drowsiness detection approach based on the combination of several different detection methods, with robustness to the input signal loss. Hence, if one of the methods fails for any reason, the whole system continues to work properly. To choose correct combination of the availabl...

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Hlavní autoři:	Sajjad Samiee, Shahram Azadi, Reza Kazemi, Ali Nahvi, Arno Eichberger
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2014-09-01
Edice:	Sensors
Témata:	sensors data fusion driver drowsiness detection driver assistance system eye tracking vehicle lateral position steering angle vehicle safety driving simulator
On-line přístup:	http://www.mdpi.com/1424-8220/14/9/17832
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