Manual monitoring of road signs compliance procedures are adapted by developing countries. As effective as this method is, the amount of time and funds needed to cover a large area is quite alarming. Thus, a need for a vision — based traffic sign detection and recognition system. However, while a majority of researches using machine vision focuses on the development of a robust real — time traffic sign recognition system, researches addressing the issue of the sign compliance and standardization is lacking.


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    Titel :

    Vision-based traffic sign compliance evaluation using convolutional neural network


    Beteiligte:


    Erscheinungsdatum :

    01.04.2018


    Format / Umfang :

    1500046 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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