Driver drowsiness is one of the leading causes of accidents among motorists today, therefore it is recognized as a serious problem that needs to be resolved. Although there have been many methods proposed in the past to tackle this issue, computer vision seems to be the most promising tool to detect driver drowsiness. Previous works have focused on particular features of the driver’s face and made used of handcrafted algorithms to detect drowsiness in an individual, this paper, however, aims to make use of a convoluted neural network to determine how features of the face give an indication of driver drowsiness.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Driver Drowsiness Detection using Convoluted Neural Networks


    Beteiligte:
    Antony, Nihal (Autor:in) / KR, Rohit (Autor:in) / Patel, Shreya (Autor:in) / S, Sneha (Autor:in) / M, Namratha (Autor:in)


    Erscheinungsdatum :

    01.03.2019


    Format / Umfang :

    2459139 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Driver Drowsiness Detection

    Satish, K. / Lalitesh, A. / Bhargavi, K. et al. | IEEE | 2020


    Driver drowsiness detection

    YANG HSIN-HSIANG / PRAKAH-ASANTE KWAKU O | Europäisches Patentamt | 2015

    Freier Zugriff

    Driver Drowsiness Detection

    Rezaei, Mahdi / Klette, Reinhard | Springer Verlag | 2017


    DRIVER DROWSINESS DETECTION

    YANG HSIN-HSIANG / PRAKAH-ASANTE KWAKU O | Europäisches Patentamt | 2015

    Freier Zugriff

    Overview of Research on Driver Drowsiness Definition and Driver Drowsiness Detection

    Wierwille, W. W. | British Library Conference Proceedings | 1994