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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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Autori principali: Sajjad Samiee, Shahram Azadi, Reza Kazemi, Ali Nahvi, Arno Eichberger
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2014-09-01
Serie:Sensors
Soggetti:
sensors data fusion
driver drowsiness detection
driver assistance system
eye tracking
vehicle lateral position
steering angle
vehicle safety
driving simulator
Accesso online:http://www.mdpi.com/1424-8220/14/9/17832
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