There are many problems in traditional survey methods for existing railway lines, such as single point measurement, low efficiency, high safety hazards, and high labor costs. In order to overcome the above shortcomings, this paper proposes a collection and extraction method of Railway track alignment based on the ground 3D laser scanning point cloud data: under the control point stitching principle, the original point cloud data is collected in a certain railway section, and the Correspondence principle is used to "one button" splice the original point cloud data; The original point cloud is selected, the elevation is extracted, the mixed points are filtered and the point cloud is reduced to obtain the required Railway track point cloud data; The processed track point cloud is piecewise fitted with the least square method to obtain the existing railway track alignment.


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    Titel :

    Railway track alignment extraction method based on point cloud data


    Beteiligte:
    Mikusova, Miroslava (Herausgeber:in) / Chen, Jie (Autor:in)

    Kongress:

    International Conference on Smart Transportation and City Engineering (STCE 2023) ; 2023 ; Chongqing, China


    Erschienen in:

    Proc. SPIE ; 13018 ; 130182P


    Erscheinungsdatum :

    14.02.2024





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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