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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Detalles Bibliográficos
Autores principales: Daza, Iván G., Bergasa, Luis M., Bronte, Sebastián, Yebes, J. Javier, Almazán, Javier, Arroyo, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2014
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3926605/
https://www.ncbi.nlm.nih.gov/pubmed/24412904
http://dx.doi.org/10.3390/s140101106

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3926605/
https://www.ncbi.nlm.nih.gov/pubmed/24412904
http://dx.doi.org/10.3390/s140101106

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