Research on Fast Pre-Processing Method of Tunnel Point Cloud Data in Complex Environment

Abstract In recent years, the application and research of three-dimensional laser scanning technology in tunnel engineering has continuously emerged, while the shortcomings still exists. This paper conducts research on quick preprocessing method of tunnel point cloud data based on three-dimensional...

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Bibliographic Details
Published inJournal of physics. Conference series Vol. 2185; no. 1; pp. 12038 - 12044
Main Authors Zhu, Ming, Leng, Biao, Xiao, Chunhong, Hou, Gaopeng, Yao, Xiangchen, Li, Kai
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.01.2022
Subjects
Algorithms
Iterative methods
Laser applications
Noise reduction
Physics
Scanning
Streamlining
Three dimensional models
Tunnels
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Summary:Abstract In recent years, the application and research of three-dimensional laser scanning technology in tunnel engineering has continuously emerged, while the shortcomings still exists. This paper conducts research on quick preprocessing method of tunnel point cloud data based on three-dimensional laser scanning. For streamlining the tunnel point cloud model data, comparison analysis discusses are applied to both the downsampling algorithm and the point cloud denoising method respectively. Simulation experiments are introduced to compare the effects of different downsampling algorithms applied to the tunnel point cloud model, analyze the sampling efficiency and performance of each algorithm. Combining with statistical denoising and radius denoising algorithms, a distance denoising based on an iterative filtering model method is proposed. The result shows that this method is suitable for the tunnel point cloud model during the construction period with complex environment, and can effectively eliminate most of the point cloud noise.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2185/1/012038