There is a growing possibility of drivers engaging in disruptive behaviors with increasingly regular in-vehicle technologies and transported devices. As a consequence, diversion and carelessness are adding to the likelihood of a collision and have a growing effect on driving health. To alleviate these concerns, this study discusses the usage of a dashboard camera to accurately identify distracted drivers utilizing a machine learning methodology. Then we use Image net models like VGG16, RESNET50, Xception and Mobile net to predict the rate of performance analysis of driver detection. Also this study implemented an alert system procedure of distracted driver prediction using machine learning techniques.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Distracted Driver Detection Using Deep Learning Classifier of Image Net Models


    Beteiligte:
    Praveena, R. (Autor:in) / Babu, T.R.Ganesh (Autor:in) / Sudha, G. (Autor:in) / Birunda, M. (Autor:in) / Gnanasoundharam, J. (Autor:in) / GokulKannan, K. (Autor:in)


    Erscheinungsdatum :

    24.11.2022


    Format / Umfang :

    876625 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Detection of Distracted Driver using Deep learning Algorithm

    Anand, Aayush / Sharma, Ishita / Sharma, Karan et al. | IEEE | 2024


    Distracted Driver Detection and Driver Rating System using Deep Learning

    Gusain, Amit / Rawat, Arvind Singh / Lalit et al. | IEEE | 2023


    Distracted driver detection

    MADKOR AHMED / ELQATTAN YOUSSRA / ABDELHAMID ABDARHMAN S | Europäisches Patentamt | 2020

    Freier Zugriff

    DISTRACTED DRIVER DETECTION

    MADKOR AHMED / ELQATTAN YOUSSRA / ABDELHAMID ABDARHMAN S | Europäisches Patentamt | 2019

    Freier Zugriff

    Distracted driver detection device

    SRIDHAR ANANYA K | Europäisches Patentamt | 2022

    Freier Zugriff