The demand for employing Artificial Intelligent and data driven decision making in recognition of traffic signs in autonomous vehicles, self-driving cars, and not only in self-driving cars sometimes the driver who is driving also cannot recognize and follow the traffic signs is expediting. It is essential for autonomous vehicles to understand and follow all the traffic rules. The dynamic environment on which autonomous vehicles operate is risky due to insufficient training data. So by using this traffic signs recognizer, the driver will receive the information about the traffic sign coming ahead which can potentially lead to the minimization of the road accidents. Hence, to improve the accuracy in deep learning technology is employed. The primary reason that the method of deep learning is widely accepted in that the model can autonomously learn the deep characteristics of the image from the samples. In the current work, convolution neural network is employed to create a deep learning architecture that can identify traffic signs with close to 98% accuracy on the test set.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Classification and Recognition of Traffic Signs Using Deep Learning


    Additional title:

    Lect. Notes in Networks, Syst.




    Publication date :

    2022-07-06


    Size :

    9 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Traffic signs recognition with deep learning

    Yasmina, Djebbara / Karima, Rebai / Ouahiba, Azouaoui | IEEE | 2018


    Robust Traffic Signs Classification using Deep Convolutional Neural Network

    Kherraki, Amine / Maqbool, Muaz / Ouazzani, Rajae El | IEEE | 2022


    Traffic Signs Recognition

    Prakash, Kolla Bhanu | Wiley | 2022


    DEEP LEARNING BASED TRAFFIC SIGNS BOUNDARY ESTIMATION

    Hrustic, Emir / Xu, Zhujun / Vivet, Damien | British Library Conference Proceedings | 2020


    Deep Learning Based Traffic Signs Boundary Estimation

    Hrustic, Emir / Xu, Zhujun / Vivet, Damien | IEEE | 2020