As the world faces aging population, traffic accidents caused by elderly drivers have become a social issue. The decline in driving skills and judgment can lead to deviation of vehicles from their lanes while they are in motion resulting in accidents. In this paper, we propose an intelligent safety drive assisting system that identifies dangerous vehicles. The proposed system has an AI application that identifies vehicles engaging in risky driving and notifies both the control center and the driver. We present the detection performance of four different datasets. From the evaluation results, we observed that datasets based on remote-controlled cars and actual vehicle images reduced misrecognition rate and improved detection accuracy.


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    Titel :

    An AI-Driven System for Identifying Dangerous Driving Vehicles


    Weitere Titelangaben:

    Lect. Notes on Data Eng. and Comms.Technol.


    Beteiligte:
    Barolli, Leonard (Herausgeber:in) / Tanaka, Hibiki (Autor:in) / Shimomura, Kazuki (Autor:in) / Tanaka, Naoki (Autor:in) / Ikeda, Makoto (Autor:in) / Barolli, Leonard (Autor:in)

    Kongress:

    International Conference on Advanced Information Networking and Applications ; 2024 ; Kitakyushu, Japan April 17, 2024 - April 19, 2024



    Erscheinungsdatum :

    10.04.2024


    Format / Umfang :

    6 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch







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