The traffic sign detection and recognition is an integral part of Advanced Driver Assistance System (ADAS). Traffic signs provide information about the traffic rules, road conditions and route directions and assist the drivers for better and safe driving. Traffic sign detection and recognition system has two main stages: The first stage involves the traffic sign localization and the second stage classifies the detected traffic signs into a particular class. This article provides the challenges involved in the real-time detection of traffic signs. A review of the existing detection methods such as color based, shape based and learning based detection is presented. It also discusses about the feature matching and machine learning algorithms used in the traffic sign recognition stage.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Automatic traffic sign detection and recognition: A review


    Beteiligte:
    Swathi, M (Autor:in) / Suresh, K. V. (Autor:in)


    Erscheinungsdatum :

    01.02.2017


    Format / Umfang :

    312059 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Traffic Sign Recognition for Automatic Vehicles

    P, Sneha / N, Nagarathna | IEEE | 2024


    Traffic Sign Detection and Recognition

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


    Traffic Sign Detection and Recognition

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


    Automatic video processing for traffic sign recognition

    Allasia, W. / Culeddu, C. / Gallo, F. et al. | Tema Archiv | 2009


    TRAFFIC SIGN RECOGNITION DEVICE AND TRAFFIC SIGN RECOGNITION METHOD

    MIYASATO KAZUHIRO / KOYASU TOSHIYA | Europäisches Patentamt | 2023

    Freier Zugriff