It is very hard to detect small objects. When we are talking about self-driving car, then it is a “driver less” or autonomous vehicle that functions independently without any human intervention. It makes use of hardware or software that can be used for the movement of vehicles from one destination to another. Even though the revolution of self-driving car is unstoppable, it is facing many challenges. The first challenge that we are facing is Traffic rule implementation. For detection and road traffic signals categorization in street view images: We are creating a deep neural network model that is used for describing road signs seen in images or videos.


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    Titel :

    Deep Learning Based Traffic Sign Recognition using CNN and TensorFlow


    Beteiligte:
    Gowtham, P.Srinivasa (Autor:in) / Bhargavi, Maridu (Autor:in) / Kavyanjali, P. (Autor:in) / Babu, P.Naga (Autor:in) / Subhash, K. (Autor:in)


    Erscheinungsdatum :

    11.12.2024


    Format / Umfang :

    1215364 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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