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%.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Detection for triangle traffic sign based on neural network


    Beteiligte:
    Zhu Shuang-dong, (Autor:in) / Zhany Yi, (Autor:in) / Lu Xiao-feng, (Autor:in)


    Erscheinungsdatum :

    01.01.2005


    Format / Umfang :

    1991451 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    WARNING TRIANGLE SIGN

    BARTULI EVGENY ARTUROVICH | Europäisches Patentamt | 2015

    Freier Zugriff

    Triangle sign plate

    NOH BYUNG CHUN | Europäisches Patentamt | 2023

    Freier Zugriff


    Enhancing the Traffic Sign Detection to Improve Convolutional Neural Network

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


    Traffic Sign Recognition Method Based on Convolutional Neural Network

    Li, Jitong / Chen, Yuguang / Lin, Honghao et al. | ASCE | 2024