Bulletin of Surveying and Mapping ›› 2021, Vol. 0 ›› Issue (9): 120-123.doi: 10.13474/j.cnki.11-2246.2021.0287

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Cross section extraction of tunnel point cloud based on ransac algorithm

DING Ge, YAN Lishuang, PENG Jian, ZHU Chuanguang, HUANG Xueting   

  1. Jinan Institute of Surveying and Mapping Survey, Jinan 250013, China
  • Received:2021-03-11 Revised:2021-07-22 Online:2021-09-25 Published:2021-10-11

Abstract: Because it is difficult to get the best linear parameters by least square method by fitting all points, including "outliers", this paper presents a method based on RANSAC algorithm to estimate the parameters by random sampling the observed values, the "inner point" of the model is a consistent set until a sufficient consistent set is obtained under a certain number of iterations. The boundary of tunnel point cloud is extracted based on the method of central axis, which provides a reference for the application of 3D laser scanning in production.

Key words: 3D laser scanning, least squares, random sampling consistency, cross-sectional point cloud, feature extraction

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