Autonomous vehicle design is the present-day research field in which traffic sign recognition and classification is the challenging task. The motive of this research work is to minimize the involvement of human consciousness. Automatic traffic sign recognition systems are designed so that vehicles are capable of choosing right direction, speed, etc. This research paper focuses on the sign classification function. Here we proposed a deep learning approach to design a model to classify road traffic signs. Convolutional neural network (CNN) architecture is designed for the German Traffic Sign Recognition Benchmark (GTSRB) dataset which passes through four layers of convolution operation with increasing filter size and two fully connected layers. Data augmentation and batch normalization techniques are the highlights of this research. Dropout is used to prevent over-fitting and this model achieved 98.65% accuracy in predicting the exact class of unseen images.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Deep Learning Approach to Classify Road Traffic Sign Images


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Chen, Joy Iong-Zong (Herausgeber:in) / Tavares, João Manuel R. S. (Herausgeber:in) / Iliyasu, Abdullah M. (Herausgeber:in) / Du, Ke-Lin (Herausgeber:in) / Palak (Autor:in) / Sangal, A. L. (Autor:in)

    Kongress:

    International Conference on Image Processing and Capsule Networks ; 2021 ; Bangkok, Thailand May 27, 2021 - May 28, 2021



    Erscheinungsdatum :

    10.09.2021


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Road Safety with Deep Learning Voice Based Traffic Sign

    R. C, Annwin Remilka / M, Devicharan / J, Sarojini Premalatha | IEEE | 2025


    Bangladeshi Road Traffic Sign Detection and Navigation Using Deep Learning

    Komol, Tawhid Ahmed / Riti, Rinvi Jaman / Nath, Pulak Deb et al. | IEEE | 2025


    A Deep-Learning Approach to Detect and Classify Heavy-Duty Trucks in Satellite Images

    Liu, Xingwei / Li, Yiqiao / Sizemore, Langting et al. | IEEE | 2024

    Freier Zugriff

    Traffic Sign Detection and Recognition Using Deep Learning Approach

    Rahman, Umma Saima / Maruf | Springer Verlag | 2023


    Traffic Sign Classification using Deep Learning

    Pothineni, Ramya Sree / Inampudi, Srinivas / Gudavalli, Lakshmi Yesaswini et al. | IEEE | 2023