The key motivating factor for the underlying research work is to tackle the autonomous driving problem. The proposed research work attempts to design a model to effectively assist the drivers of vehicles. It uses computer vision algorithms to detect lanes, deep-learning to identify obstacles like other vehicles and decision trees to take driving decisions. The driver assistance system has the ability to perform in both autonomous and assisting capabilities. The autonomous mode should be deployed on highways and the assisting mode on congested city roads. In the autonomous mode the system controls the car while in the assisting mode the system ensures that the driver practices safe driving by providing valuable prompts.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    An Advanced Driver Assistance System Using Computer Vision and Deep-Learning


    Beteiligte:
    Trivedi, Yash (Autor:in) / Negandhi, Prashil (Autor:in)


    Erscheinungsdatum :

    2018-06-01


    Format / Umfang :

    405175 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Vision‐Based Advanced Driver Assistance Systems

    López, Antonio M. / Imiya, Atsushi / Pajdla, Tomas et al. | Wiley | 2017


    Computer vision for driver assistance systems

    Handmann, Uwe / Kalinke, Thomas / Tzomakas, Christos et al. | SPIE | 1998


    Computer vision for driver assistance systems

    Handmann, U. / Kalinke, T. / Tzomakas, C. et al. | Tema Archiv | 1998


    Embedded Vision in Advanced Driver Assistance Systems

    Nikolić, Zoran | Springer Verlag | 2014