This paper studies traffic sign detection and recognition technology based on the Yolov5 model, which is used to extract the category and quantity information of traffic signs in images. Based on this, targeted improvements were made to the model to solve the problem of missed and mistaken detection of small traffic sign targets. Improvement measures include adding a small target detection layer, using an attention module to enhance feature extraction ability of the backbone network, and using Bi-FPN to replace the original FPN + PAN structure of the model. Experimental results show the improved model exhibits higher accuracy and precision in extracting traffic sign information. This paper studies OCR technology for extracting spatial information corresponding to traffic signs in images. PP-OCR was selected to extract spatial information from traffic signs. To improve the accuracy of spatial data recognition, computer vision techniques were used to preprocess images and reduce interference of image noise.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Detection and Recognition of Road Sign ROI Based on Dashcam Video Data


    Contributors:
    Zhu, Yuan (author) / Sun, Chao (author) / Pang, Ruhan (author) / Sun, Yaowei (author) / Yang, Wenhui (author)

    Conference:

    24th COTA International Conference of Transportation Professionals ; 2024 ; Shenzhen, China


    Published in:

    CICTP 2024 ; 3626-3635


    Publication date :

    2024-12-11




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Detection of Stop Sign Violations From Dashcam Data

    Bravi, Luca / Kubin, Luca / Caprasecca, Stefano et al. | IEEE | 2022


    Classifying Ego-Vehicle Road Maneuvers from Dashcam Video

    Zekany, Stephen A. / Dreslinski, Ronald G. / Wenisch, Thomas F. | IEEE | 2019


    Towards Anomaly Detection in Dashcam Videos

    Haresh, Sanjay / Kumar, Sateesh / Zia, M. Zeeshan et al. | IEEE | 2020


    Analysis of Dashcam Video for Determination of Vehicle Speed

    Marquez, Alvaro / Leifer, Jack | SAE Technical Papers | 2020


    POLICE DASHCAM

    CHEN CHI-HSIU | European Patent Office | 2024

    Free access