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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    Title :

    Vision-based traffic sign compliance evaluation using convolutional neural network




    Publication date :

    2018-04-01


    Size :

    1500046 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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