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Fusion of Optimized Indicators from Advanced Driver Assistance Systems (ADAS) for Driver Drowsiness Detection

This paper presents a non-intrusive approach for monitoring driver drowsiness using the fusion of several optimized indicators based on driver physical and driving performance measures, obtained from ADAS (Advanced Driver Assistant Systems) in simulated conditions. The paper is focused on real-time...

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Hlavní autoři: Daza, Iván G., Bergasa, Luis M., Bronte, Sebastián, Yebes, J. Javier, Almazán, Javier, Arroyo, Roberto
Médium: Artigo
Jazyk:Inglês
Vydáno: Molecular Diversity Preservation International (MDPI) 2014
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3926605/
https://ncbi.nlm.nih.gov/pubmed/24412904
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s140101106
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