In the last years, the traffic accidents study is become important because they produce several died and hurt around the world. To help in reducing this fatality, in this paper, a new Advanced Driver Assistance System (ADAS) for automatic driverés drowsiness detection based on visual information and Artificial Intelligent is presented. This system works on several stages to be fully automatic. In addition, the aim of this algorithm is to locate and to track the face and the eyes to compute a drowsiness index. Examples of different driverés images taken over real vehicle are shown to validate the algorithm that works in real time.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Real-time drowsiness detection system for an intelligent vehicle


    Beteiligte:


    Erscheinungsdatum :

    01.06.2008


    Format / Umfang :

    700821 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Real-Time Drowsiness Detection System for an Intelligent Vehicle

    Calero, M.J.F. / Moreno, J.M.-A.A. / De La Escalera, A. | British Library Conference Proceedings | 2008


    Nodoze: Real Time Drowsiness Detection System

    Nethravathi, T L / Nithyasree, R / Sultana, Shaik Neeha et al. | IEEE | 2025


    Real-Time Driver Drowsiness Detection

    Sreedevi, Ch. / Poojitha, Saddi / G, Arun Prasath et al. | IEEE | 2023


    Real Time Implementation of Driver Drowsiness Detection for an Intelligent Transportation System

    Sathya, R. / Raguraman, P.J. / Thavamaniyan, S. et al. | IEEE | 2024