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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Rail Identification Using Camera and Millimeter-Wave Radar Data


    Contributors:
    Shouyong, Fei (author) / Jimin, Zhang (author) / Lichao, Xu (author) / Zhenhai, Zong (author) / Jinnan, Luo (author)


    Publication date :

    2021-12-01


    Size :

    470904 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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

    YIN YING / ZHANG YULI / LIU YA et al. | European Patent Office | 2022

    Free access

    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. | European Patent Office | 2025

    Free access

    Traffic vehicle detection by fusion of millimeter wave radar and camera

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