Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Evaluation of a Semi-Autonomous Lane Departure Correction System Using Naturalistic Driving Data


    Contributors:
    Zhao, Ding (author) / Wang, Wenshuo (author) / LeBlanc, David (author)

    Conference:

    2017 IEEE Intelligent Vehicles Symposium (IV 2017) ; 2017 ; Los Angeles, CA



    Publication date :

    2017-01-01


    Size :

    7 pages


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Evaluation of A Semi-Autonomous Lane Departure Correction System Using Naturalistic Driving Data

    Zhao, Ding / Wang, Wenshuo / LeBlanc, David J. | ArXiv | 2017

    Free access

    Lane Change Detection Using Naturalistic Driving Data

    Guo, Hongyu / Xie, Kun / Keyvan-Ekbatani, Mehdi | IEEE | 2021



    DETECTING AND TRACKING UNSAFE LANE DEPARTURE EVENTS FOR PREDICTING DRIVER SAFETY IN CHALLENGING NATURALISTIC DRIVING DATA

    Riera, Luis / Ozcan, Koray / Merickel, Jennifer et al. | British Library Conference Proceedings | 2020