Cycling is an integral part of daily life for many people. This project presents a vision-based cyclist travel lane and helmet detection system. This system can serve as surveillance to detect whether the cyclist is traveling in a devoted lane and wearing a helmet for safety measures. The model involves the application of scale-invariant feature extraction (SIFT) algorithm for feature description. The detection method is based on six machine-learning classification algorithms. The classifiers are evaluated based on testing accuracy, and the best classifier is selected for the final model creation. The random forest classifier provided highest training accuracy of 99% and testing accuracy of 85.44% for cyclist travel lane detection. The same classifier provided the highest training accuracy of 99.53% and testing accuracy of 87.83% for cyclists’ helmet detection. In future, this system can also serve as a small part of autonomous driver assistance systems by detecting the right lane.


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    Titel :

    Vision-Based Cyclist Travel Lane and Helmet Detection


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Udgata, Siba K. (Herausgeber:in) / Sethi, Srinivas (Herausgeber:in) / Gao, Xiao-Zhi (Herausgeber:in) / Madake, Jyoti (Autor:in) / Bhatlawande, Shripad (Autor:in) / Shete, Madhusha (Autor:in)

    Kongress:

    International Conference on Machine Learning, IoT and Big Data ; 2023 ; Sarang, India March 10, 2023 - March 12, 2023


    Erschienen in:

    Intelligent Systems ; Kapitel : 19 ; 207-220


    Erscheinungsdatum :

    06.10.2023


    Format / Umfang :

    14 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Commuter Cyclist Travel Behavior

    Ahmed, Farhana / Rose, Geoffrey / Jakob, Christian | Transportation Research Record | 2013


    A NEW BENCHMARK FOR VISION-BASED CYCLIST DETECTION

    Li, Xiaofei / Flohr, Fabian / Yang, Yue et al. | British Library Conference Proceedings | 2016


    Cyclist Head Protection with Helmet in Impact against A-pillar

    Ito, Daisuke / Oida, Keiji / Kobayashi, Goich et al. | British Library Online Contents | 2015


    Head protection with cyclist helmet in impact against vehicle A-pillar

    Mizuno, Koji / Ito, Daisuke / Oida, Keiji et al. | Taylor & Francis Verlag | 2017