The detection and recognition of traffic signs is an important topic in intelligent transportation systems. The automatic detection and recognition of traffic signs during driving is the basis for realizing the unmanned driving. Therefore, the work on the detection and recognition of traffic signs has a potential value and application prospect. In the traditional detection and recognition methods, they often detect and recognize traffic signs image by image. In this case, only the information of the current image is used, and the relationship between the image sequences is not considered. To end this issue, we propose a novel model that can use the relationship in multi-images to detect and recognize traffic signs in a driving video sequence quickly and accurately. The model proposed in this paper is a fusion model based on YOLO-V3 and VGG19 network. Finally, we test this proposed model on a public dataset and compare it to the baseline method, and results show that this proposed model achieves accuracy over 90% and outperforms the baseline method for all types of traffic signs in different conditions. Thus, we can conclude this proposed model is efficient and accurate.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Traffic Sign Detection and Recognition in Multiimages Using a Fusion Model With YOLO and VGG Network


    Contributors:
    Yu, Jing (author) / Ye, Xiaojun (author) / Tu, Qiang (author)


    Publication date :

    2022-09-01


    Size :

    2402742 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Traffic Rule Violation Recognition for Two Wheeler using YOLO Algorithm

    R, Baby Chithra / Joy, Salna / Reddy, Ujwal A et al. | IEEE | 2023


    Intelligent Traffic Light System Using YOLO

    Sai Venu Prathap, K. / Srinivasulu Reddy, D. / Madhusudhan, S. et al. | Springer Verlag | 2022


    Traffic Sign Detection and Recognition

    Pillai, Preeti S. / Kinnal, Bhagyashree / Pattanashetty, Vishal et al. | Springer Verlag | 2022


    Traffic Sign Detection and Recognition

    Habibi Aghdam, Hamed / Jahani Heravi, Elnaz | Springer Verlag | 2017


    FUSION OF MAP MATCHING AND TRAFFIC SIGN RECOGNITION

    Peker, A. / Tosun, O. / Akin, H. et al. | British Library Conference Proceedings | 2014