In a world where millions of people are wounded in auto accidents each year due to negligence, a lack of understanding of traffic laws, and bad weather, there is an urgent need for greater road safety. This is particularly the case in India, where a disproportionately high number of traffic accidents lead to numerous fatalities. Ignoring traffic signs raises these risks and endangers not only vehicles but also passengers and pedestrians. This project addresses the significant issue of traffic sign recognition in bad weather and offers voice-based instruction in many languages to increase road safety. Using a mix of state-of-the-art technologies, including YOLOv8 for real-time sign detection and the Google Translate API, which supports NLP tasks, this research offers a full solution. The model's remarkable precision and efficacy underscore its capacity to revolutionize traffic safety and furnish a more secure and expedient driving encounter. With the world moving towards more autonomous mobility, this study is laying the groundwork for safer and more effective driving in the future.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Multilingual Voice-Assisted for Traffic Sign Detection and Classification in Adverse Weather Conditions


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Gunjan, Vinit Kumar (Herausgeber:in) / Zurada, Jacek M. (Herausgeber:in) / Krishnendhu, K. (Autor:in) / Mathew, Neha Elizabeth (Autor:in) / Gunavathi, R. (Autor:in) / Johnson, Amala (Autor:in)

    Kongress:

    International Conference on Recent Trends in Machine Learning, IOT, Smart Cities & Applications ; 2024 ; Hyderabad, India March 28, 2024 - March 29, 2024



    Erscheinungsdatum :

    28.02.2025


    Format / Umfang :

    12 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Traffic volume prediction method under adverse weather conditions

    CI YUSHENG / GAO XUEYI / LI HAOWEN | Europäisches Patentamt | 2024

    Freier Zugriff

    Assessment of traffic safety margin in adverse weather conditions

    Pauwelussen, J. P. | British Library Conference Proceedings | 1993


    Improving Object Detection and Classification for Autonomous Vehicle in Adverse Weather Conditions

    Maruthiram, Katroth Balakrishna / Reddy, G. Venkata Rami | IEEE | 2024


    Traffic Sign Detection and Classification

    Sharma, Vinayak / Kumar, Vimal / Aditya, Harshvardhan | IEEE | 2023