This literature critically explains the intelligent method for detection of traffic signs. This method uses a particular color and shape for the detection of traffic signs, as an example, we used red color down triangle shape traffic sign, to explain this method. This method is mainly carried out in four steps, which are as follows. First, convert RGB color space to HIS color space, and extract pixels with red color. Then perform LOG mask operation on the pixels got from step 1, for the detection of edges. By using neural network, we determine the angle pixels, and at the same time, we also determine on which specific angle the pixel is. And finally we detect the traffic sign by using the information of shape. We used 20 different images from different scenes to test this method, and the percentage of correctness is 100%.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Detection for triangle traffic sign based on neural network


    Contributors:


    Publication date :

    2005-01-01


    Size :

    1991451 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    WARNING TRIANGLE SIGN

    BARTULI EVGENY ARTUROVICH | European Patent Office | 2015

    Free access

    Triangle sign plate

    NOH BYUNG CHUN | European Patent Office | 2023

    Free access


    Enhancing the Traffic Sign Detection to Improve Convolutional Neural Network

    Sungheetha, Akey / V, Vijeya kaveri / V, Sruthi Sri et al. | IEEE | 2024


    Road traffic sign recognition based on lightweight neural network

    Li, Le-yang / Yue, Qin / Luo, Rui-wen | SPIE | 2021