Detection of flatness and verticality of buildings based on 3D laser scanning technology

doi:10.13474/j.cnki.11-2246.2019.0190

Abstract

Abstract:

The point clouds information of the target building is obtained by using terrestrial laser scanner which embodies characteristics such as full automation, high precision, panoramic sweeps. After the analysis and research work, a method of extracting central axis of buildings based on point clouds is proposed. The random sample consensus (RANSAC) is used to fit the straight line. The fitting plane of point clouds adopt a method based on total least squares. The wall flatness and verticality of buildings are detected by analyzing the geometric characteristics of fitting planes and fitting straight lines. The result shows high feasibility and applicability in the detection of the wall flatness and verticality by using 3D laser scanning.

Key words: 3D laser scanning, point clouds data, flatness, verticality, plane fitting

CLC Number:

P237

WANG Ermin, GUO Jiming, YANG Fei, SONG Shengdeng, YU Xuyang. Detection of flatness and verticality of buildings based on 3D laser scanning technology[J]. 测绘通报, 2019, 0(6): 85-88.

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