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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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Principais autores: Sajjad Samiee, Shahram Azadi, Reza Kazemi, Ali Nahvi, Arno Eichberger
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2014-09-01
Serier:Sensors
Fag:
sensors data fusion
driver drowsiness detection
driver assistance system
eye tracking
vehicle lateral position
steering angle
vehicle safety
driving simulator
Online adgang:http://www.mdpi.com/1424-8220/14/9/17832
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