Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Driver Drowsiness Behavior Detection and Analysis Using Vision-Based Multimodal Features for Driving Safety


    Contributors:

    Conference:

    WCX SAE World Congress Experience (Cancelled due to COVID-19)



    Publication date :

    2020-01-01


    Size :

    ALL-ALL



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English



    Driver Drowsiness Behavior Detection and Analysis Using Vision-Based Multimodal Features for Driving Safety

    Gopinath, Aditya / Li, Bing / Brand, Howard et al. | SAE Technical Papers | 2020


    Driver Drowsiness Behavior Detection and Analysis Using Vision-Based Multimodal Features for Driving Safety

    Li, Rui / Brand, Howard / Gopinath, Aditya et al. | British Library Conference Proceedings | 2020


    Computer Vision Based Driver Assistance Drowsiness Detection

    Emashharawi, Maryam J. S. / Khalifa, Othman O. / Abdul Malik, Noreha et al. | Springer Verlag | 2021


    Driver Drowsiness Detection

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


    Driver Drowsiness Detection

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