Traffic Sign Recognition systems (TSR) are important components of advanced driver assistance systems (ADAS), they are specifically designed to work in a real-time environment to increase driver safety by notifying the driver of the various traffic signs such as speed limits, priorities, restrictions, etc.. Nonetheless, in real world applications, these systems face a range of external challenges such as bad weather, broken signs, insufficient conditions of lighting (night-time), etc. However, the real-time challenge is still the biggest and most critical challenge facing ADAS, as it occurs in all challenges and increases their complexity, so all researchers in this field should give it the highest priority. In this paper, we will draw an overview of some recent and efficient real-time methods for the detection and classification of traffic signs.


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    Titel :

    An Overview of Real-Time Traffic Sign Detection and Classification


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Ben Ahmed, Mohamed (Herausgeber:in) / Rakıp Karaș, İsmail (Herausgeber:in) / Santos, Domingos (Herausgeber:in) / Sergeyeva, Olga (Herausgeber:in) / Boudhir, Anouar Abdelhakim (Herausgeber:in) / Taki, Youssef (Autor:in) / Zemmouri, Elmoukhtar (Autor:in)

    Kongress:

    The Proceedings of the Third International Conference on Smart City Applications ; 2020 ; Karabuk, Turkey October 07, 2020 - October 09, 2020



    Erscheinungsdatum :

    2021-02-13


    Format / Umfang :

    13 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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