Road signs are essential for maintaining a safe flow of traffic, yet people frequently ignore or misread them, which leads to accidents. Convolutional neural networks, also known as CNNs, are used in the proposed system to identify and categorize traffic signals, alerting drivers with speech messages upon detection. As a result, travelers, passengers, and pedestrians are all safer. Applications include self-driving cars and driver assistance. Using a processor board and sensor on vehicles, the device can be executed despite the difficulties posed by challenging road settings, accurately detecting traffic signs with a variety of devices and algorithms. The reliability and performance of the system are further enhanced by regular upgrades as well as training on new datasets.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Mask R-CNN for Robust and Accurate Traffic Sign Detection in Dynamic Environments


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Raju, K. Srujan (Herausgeber:in) / Senkerik, Roman (Herausgeber:in) / Kumar, T. Kishore (Herausgeber:in) / Sellathurai, Mathini (Herausgeber:in) / Naresh Kumar, Voruganti (Herausgeber:in) / Rohini, P. (Autor:in) / Harsh, V. (Autor:in) / Lakshmi, P. Sree (Autor:in)

    Kongress:

    International Conference on Intelligent Computing and Communication ; 2024 ; Hyderabad, India August 30, 2024 - August 31, 2024



    Erscheinungsdatum :

    29.03.2025


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Robust traffic sign detection in complex road environments

    Tian, Bin / Chen, Ran / Yao, Yanjie et al. | IEEE | 2016


    Fast and robust traffic sign detection

    Soetedjo, A. / Yamada, K. | Tema Archiv | 2005


    Accurate camera-based traffic sign localization

    Welzel, Andre / Auerswald, Andreas / Wanielik, Gerd | IEEE | 2014


    Traffic Sign Perception in Road Environments

    De la Escalera, A. / Moreno, L. / Armingol, J. M. et al. | British Library Conference Proceedings | 1994


    Traffic Sign Detection

    Escalera, Sergio / Baró, Xavier / Pujol, Oriol et al. | Springer Verlag | 2011