The invention discloses a point cloud data multi-foreign-matter identification method, which comprises the following steps of: firstly, acquiring point cloud data of a target area, comparing the point cloud data with original background point cloud data, retaining newly added point cloud data, and filtering the original background point cloud data; performing class continuity judgment on X-axis, Y-axis and Z-axis three-dimensional coordinate data of the newly added point cloud data to complete data grouping, forming a plurality of point cloud arrays which have class continuity and cannot be grouped, and completing multi-object distinguishing; the occupied area and height of the object can be calculated according to the point cloud data of each object, and the motion direction of the object can also be calculated in combination with time sequence data. The method is applied to the field of rail transit, can perform foreign matter identification on the gap between the train door and the platform door, realizes the functions of gap foreign matter monitoring, carriage crowding degree statistics, passenger flow guidance and the like, and has the advantages of quick response and accurate identification.

    本发明公开了一种点云数据多异物识别方法,首先获取目标区域点云数据,通过与原始背景点云数据对比,保留新增点云数据并滤除原始背景点云数据;再依次对新增点云数据的X轴、Y轴、Z轴三个维度坐标数据分别进行类连续性判断完成数据分组,形成多个具有类连续性的不可分组的点云数组,完成多物体区分;根据每个物体的点云数据可以计算物体占用面积和高度,也可以结合时序数据计算物体的运动方向。该方法应用在轨道交通领域能够对列车门和站台门间隙进行异物识别,实现间隙异物监测、车厢拥挤度统计和客流引导等功能,具有响应快速、识别精准的优势。


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    Title :

    Point cloud data multi-foreign-matter identification method


    Additional title:

    一种点云数据多异物识别方法


    Contributors:
    LIU XIAO (author) / ZHANG JIACHAO (author) / HUANG LILI (author) / ZHANG YINAN (author) / ZHANG WEI (author)

    Publication date :

    2022-11-01


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G06V / B61B RAILWAY SYSTEMS , Eisenbahnanlagen



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