This paper introduces a dramatically novel traffic signs recognition (TSR) system that can perform traffic sign detection and tracking simultaneously. The proposed approach utilizes intensity images and the depth images, in parallel, to robustly detect and track traffic signs in real-time. Additionally, we suggest to supplement the ordinary traffic signs with the corresponding quick-response (QR) code plates that inherent the many advantages of the QR-codes, introducing the concept of QR-TSR systems.


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    Titel :

    Evolutionary QR-Based Traffic Sign Recognition System for Next-Generation Intelligent Vehicles


    Beteiligte:
    Salahat, Ehab (Autor:in) / Saleh, Hani (Autor:in) / Sluzek, Andrzej (Autor:in) / Al-Qutayri, Mahmoud (Autor:in) / Mohammed, Baker (Autor:in) / Ismail, Mohammed (Autor:in)


    Erscheinungsdatum :

    01.09.2015


    Format / Umfang :

    2374071 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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