In recent years, the number of car has been increasing, and car has gradually become an indispensable mean of transportation for people to travel. However, along with the rapid growth of car brings convenience to people's life, it also brings many negative effects to the development of road traffic. More and more traffic accidents have happened, and most traffic accidents are caused by fatigue driving. In order to reduce traffic accidents caused by fatigue driving, many methods have been proposed. However, these methods cannot guarantee the accuracy and speed of detection at the same time. So, a fatigue driving detection method based on multi feature fusion is presented in this paper. Firstly, MTCNN is used to improve the face tracking algorithm based on MedianFlow. Then a new face key points detection model based on CNN is proposed, the result of face key points detection can be used to locate the eyes. Finally, information such as eye closing time, blinking frequency and head position are fused to detect fatigue driving. Experimental results show that the fatigue driving detection method proposed in this paper has a good result on speed and accuracy.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Fatigue Driving Detection Based on Multi Feature Fusion


    Beteiligte:
    Deng, Wanghua (Autor:in) / Zhan, Zeyan (Autor:in) / Yu, Yi (Autor:in) / Wang, Weizeng (Autor:in)


    Erscheinungsdatum :

    01.07.2019


    Format / Umfang :

    3913692 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Fatigue driving state detection for tanker truck drivers based on multi-feature fusion

    Zhang, Ning / Zhang, Ziyi / Ma, Chuanyi et al. | SPIE | 2024


    Fatigue driving detection model based on multi‐feature fusion and semi‐supervised active learning

    Li, Xu / Hong, Lin / Wang, Jian‐chun et al. | Wiley | 2019

    Freier Zugriff

    Fatigue driving detection model based on multi-feature fusion and semi-supervised active learning

    Li, Xu / Hong, Lin / Wang, Jian-chun et al. | IET | 2019

    Freier Zugriff

    Fatigue driving detection method based on multi-information fusion

    MENG SIHONG | Europäisches Patentamt | 2020

    Freier Zugriff

    Fatigue driving monitoring and early warning method based on multi-dimensional feature fusion

    DENG MINJIE / GU CHAO | Europäisches Patentamt | 2025

    Freier Zugriff