The intrusion of obstacles into the track area is a significant issue that impacts the safety of urban rail transit. The obstacle detection technology based on LiDAR (LIght Detection and Ranging) meets the detection requirements of urban rail transit. However, under the limitations of current LiDAR performance, existing methods can only extract the track area up to 100 m, which is insufficient for the speed and braking distance of urban rail transit trains. In light of the characteristics of urban rail transit lines, a new method is proposed to indirectly extract the track area by detecting references parallel to the rail, i.e., tunnel walls, protective walls, and sound barriers. By means of border points selection, clustering, and curve fitting, two curves of the references on both sides are obtained. A track centerline is obtained from the two curves and is expanded to extract the track area according to size specifications. The proposed method in this paper is evaluated in a variety of scenes, including tunnel, elevated, and ground sections of urban rail transit lines. The result shows that the proposed method successfully extracts the track area within 150 m.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Urban Rail Transit Track Area Extraction Using LiDAR


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Qin, Yong (editor) / Jia, Limin (editor) / Yang, Jianwei (editor) / Diao, Lijun (editor) / Yao, Dechen (editor) / An, Min (editor) / Tuo, Shen (author) / Jinhuang, Zhou (author) / Yuanxiang, Xie (author) / Chenxin, Deng (author)

    Conference:

    International Conference on Electrical and Information Technologies for Rail Transportation ; 2023 ; Beijing, China October 19, 2023 - October 21, 2023



    Publication date :

    2024-02-03


    Size :

    16 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Track measurement algorithms for urban rail transit systems

    Mengert, P.H. / Neat, G.W. | Tema Archive | 1975



    Urban rail transit

    TIBKAT | 1.2015 -

    Free access

    Urban rail transit

    GWLB - Gottfried Wilhelm Leibniz Bibliothek | 1.2015 -

    Free access

    Implementation method of urban rail transit main track parking operation

    WANG WEIPENG / FAN XIAOZHEN / WANG WEI et al. | European Patent Office | 2024

    Free access