For guaranteeing of train operation safety, driver's behavior should comply with the requirements of standardized operating procedures. If the driver is off duty, using mobile phone, failing to deal with commanded operation and other violations during the duty, it may cause a major driving accident. Based on artificial intelligence approaches such as object detection, human posture recognition, graph convolutional neural network, and embedded hardware equipment, this paper develops a intelligent recognition system for railway driving behavior, which is important for ensuring the safe operation of trains and promoting the development of intelligent management and control technologies in the railway industry.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Railway Driver Behavior Recognition System Based on Deep Learning Algorithm


    Beteiligte:
    He, Li (Autor:in) / Zhang, Jie (Autor:in)


    Erscheinungsdatum :

    28.05.2021


    Format / Umfang :

    7675250 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Car Driver Behavior in Railway Crossing Accident

    Inoue, T. / Kusukami, K. / Kon-No, S. | British Library Online Contents | 1996


    Car Driver Behavior in Railway Crossing Accident

    Inoue, T. | Online Contents | 1996


    Driver Lane-Changing Behavior Prediction Based on Deep Learning

    Cheng Wei / Fei Hui / Asad J. Khattak | DOAJ | 2021

    Freier Zugriff

    Detection of Distracted Driver using Deep learning Algorithm

    Anand, Aayush / Sharma, Ishita / Sharma, Karan et al. | IEEE | 2024