It is essential for the railway active obstacle detection system to identify rail before judging whether the obstacle occupies the area. A good identification method has to face harsh environment including foggy, rainstorm and dim condition and identify various kinds of rails. What’s more, algorithms need to respond rapidly and not take up too much computing resources because obstacle identification consumes the most. A new approach based on camera and millimeter wave radar data is given in this paper. The radar point cloud data can be obtained by the millimeter wave reflecting on the trend of the rail. A Clustering algorithm is used to process radar data and Haar features are used to identify rail in camera data. We use Kalman filter to fuse the two data results and predict the current rail position. The proposed method is verified on the main line of the subway and the experimental results indicate that the algorithm is valid.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Rail Identification Using Camera and Millimeter-Wave Radar Data


    Beteiligte:
    Shouyong, Fei (Autor:in) / Jimin, Zhang (Autor:in) / Lichao, Xu (Autor:in) / Zhenhai, Zong (Autor:in) / Jinnan, Luo (Autor:in)


    Erscheinungsdatum :

    01.12.2021


    Format / Umfang :

    470904 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Automobile violation reporting system based on camera identification and millimeter wave radar detection

    YIN YING / ZHANG YULI / LIU YA et al. | Europäisches Patentamt | 2022

    Freier Zugriff

    Intelligent traffic detection with millimeter-wave radar and camera

    Zhang, Yingchao / Ma, Zhaoyou / Han, Wen et al. | British Library Conference Proceedings | 2022


    Intelligent traffic detection with millimeter-wave radar and camera

    Zhang, Yingchao / Ma, Zhaoyou / Han, Wen et al. | SPIE | 2022


    Road condition detection method based on millimeter wave radar and camera

    DING FANG / XU CHAO / WANG BO et al. | Europäisches Patentamt | 2025

    Freier Zugriff

    Traffic vehicle detection by fusion of millimeter wave radar and camera

    Zhang, Wentao / Liu, Kun / Li, Heng | IEEE | 2022