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Advance assistance system for driver's drowsiness detection
ArticleAbstract: Every day, statistics on traffic accidents reveal that human errors are the main cause of deaths andPalabras claves:Artificial Intelligent, Computer Vision, Driver, Drowsiness, Infrared illumination, traffic accidentsAutores:Armingol M J.M., De La Escalera A., Marco Javier Flores-CaleroFuentes:googlescopusEditorial: Special issue on Autonomous Driving and Driver Assistance Systems — Some main trends
OtherAbstract:Palabras claves:Autores:A. D. Sappa, De La Escalera A., Oliveira M., Santos V.Fuentes:scopusDriver drowsiness detection system under infrared illumination for an intelligent vehicle
Conference ObjectAbstract: Statistics on traffic accidents reveal that human error is the main cause of deaths and injuries onPalabras claves:Autores:Armingol J.M., De La Escalera A., Marco Javier Flores-CaleroFuentes:googlescopusDriver drowsiness warning system using visual information for both diurnal and nocturnal illumination conditions
ArticleAbstract: Every year, traffic accidents due to human errors cause increasing amounts of deaths and injuries glPalabras claves:Autores:Armingol J.M., De La Escalera A., Marco Javier Flores-CaleroFuentes:googlescopusDriver's drowsiness detection based on visual information
Conference ObjectAbstract: In this paper, a new Driver Assistance System (DAS) for automatic driver's drowsiness detection basePalabras claves:Driver assistance system, Drowsiness, Intelligent transportation technology, object detection, Support Vector MachineAutores:Armingol J.M., De La Escalera A., Marco Javier Flores-CaleroFuentes:googlescopusNew probability models for face detection and tracking in color images
Conference ObjectAbstract: This paper presents a skin-color model and an automatic face detection system on color images. ThreePalabras claves:face detection, FLEXIBLE, Skew-normal, Skin colorAutores:Armingol J.M., De La Escalera A., Marco Javier Flores-CaleroFuentes:googlescopusIVVI: Intelligent vehicle based on visual information
ArticleAbstract: Human errors are the cause of most traffic accidents, with drivers' inattention and wrong driving dePalabras claves:Computer Vision, Driver Assistance Systems, Intelligent transportation systems, Intelligent vehiclesAutores:Armingol J.M., Carrasco J.P., Collado J.M., De La Escalera A., Hilario C., Marco Javier Flores-Calero, Pastor J.M., Rodríguez F.J.Fuentes:googlescopusReal-time drowsiness detection system for an Intelligent vehicle
Conference ObjectAbstract: In the last years, the traffic accidents study is become important because they produce several diedPalabras claves:Autores:Armingol J.M., De La Escalera A., Marco Javier Flores-CaleroFuentes:googlescopusReal-time warning system for driver drowsiness detection using visual information
ArticleAbstract: Traffic accidents due to human errors cause many deaths and injuries around the world. To help in rePalabras claves:ADAS, Artificial Intelligence, Computer Vision, Driver's drowsiness, Gabor filter, Neural networks, Support Vector MachineAutores:Armingol J.M., De La Escalera A., Marco Javier Flores-CaleroFuentes:googlescopusRobot vision for intelligent autonomous vehicles
Book PartAbstract: Road traffic injuries are a major global public health problem, requiring concerted efforts for effePalabras claves:Computer Vision, Driver Assistance Systems, Intelligent transportation systems, Intelligent vehiclesAutores:Armingol J.M., Carrasco J.P., Collado J.M., De La Escalera A., Hilario C., Marco Javier Flores-CaleroFuentes:googlescopus