The invention provides a steel rail fitting method based on a three-dimensional laser point cloud. The method comprises the steps that original three-dimensional point cloud data of an actual rail needing to be fitted are acquired; extracting initial point cloud data of the track from the original three-dimensional point cloud data; performing iterative registration on a preset standard orbit model and the initial point cloud data of the orbit to obtain a transformation matrix of the orbit; and according to the transformation matrix of the track, transforming the standard track model to obtain a fitted track model. By applying the method, double iteration fitting can be performed through the error equation and the average distance, so that the standard track model can accurately fit the point cloud data of the steel rail.

    本发明提供了一种基于三维激光点云的钢轨拟合方法,该方法包括:获取需拟合的实际轨道的原始三维点云数据;从原始三维点云数据中提取得到轨道的初始点云数据;将预设的标准轨道模型与轨道的初始点云数据进行迭代配准,得到轨道的变换矩阵;根据轨道的变换矩阵,对标准轨道模型进行变换,得到拟合后的轨道模型。应用本发明可以通过误差方程和平均距离双重迭代拟合,从而可以使标准轨道模型精确拟合钢轨的点云数据。


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    Title :

    Steel rail fitting method based on three-dimensional laser point cloud


    Additional title:

    一种基于三维激光点云的钢轨拟合方法


    Contributors:
    YANG JINGLIN (author) / ZHOU QINGHUA (author) / MA WENJING (author) / FANG YANG (author)

    Publication date :

    2024-07-02


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL / B61K Andere Hilfseinrichtungen für Eisenbahnen , OTHER AUXILIARY EQUIPMENT FOR RAILWAYS




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