Transportation systems are used for movement of people from one place to another to satisfy their needs. Roadways are the major transportation system used for travelling. As the traffic is getting increased, signs in the roadways are not clearly visible for the driver, which in turn leads to road accidents. In order to avoid the accident, Intelligent Transportation systems are designed. In this work, Traffic Sign dataset is taken and labeling is done. The dataset is divided into classes and with the usage of Faster RCCN and RPN networks signs are recognized. Then Random Forest algorithm is used for performing classification and regression in the given dataset. This model gives an increased accuracy closest to 100.


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    Title :

    Traffic Sign Recognition with Faster RCNN and RPN for Advanced Driver Assistance Systems


    Contributors:


    Publication date :

    2021-12-02


    Size :

    563091 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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