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The Detecting Method of Building Deformation Based on Terrestrial Laser Point Cloud

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成果类型:
期刊论文、会议论文
作者:
Zhao, Xu*;Li, Xuefei;Liang, Hua;Deng, Fei;Zhou, Long;...
通讯作者:
Zhao, Xu
作者机构:
[Zhou, Long; Zhao, Xu; Chen, Weizhen] Wuhan Polytech Univ, Dept Elect Informat Engn, Wuhan, Peoples R China.
[Li, Xuefei] Cent Res Inst Bldg & Construct Co Ltd, MCC Grp, Beijing, Peoples R China.
[Liang, Hua] Chongqing Elect Power Design Inst, Chongqing, Peoples R China.
[Deng, Fei] Wuhan Univ, Sch Geodesy & Geomat, Wuhan Tianjihang Informat Technol Co Ltd, Wuhan, Peoples R China.
通讯机构:
[Zhao, Xu] W
Wuhan Polytech Univ, Dept Elect Informat Engn, Wuhan, Peoples R China.
语种:
英文
关键词:
flatness detection;inclination detection;point cloud;deformation detecting
期刊:
PROCEEDINGS OF 2016 12TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS)
年:
2016
页码:
466-469
会议名称:
2016 12th International Conference on Computational Intelligence and Security (CIS)
基金类别:
Natural Science Foundation of Hubei ProvinceNatural Science Foundation of Hubei Province [2016CFB298]; Wuhan Polytechnic University [2016J06]; Science Research Foundation of Education Department of Hubei Province [D20161705]
机构署名:
本校为第一且通讯机构
院系归属:
电气与电子工程学院
摘要:
Conventional surveying method could not solve the problem of detecting building's whole deformation in a short time, including in particular flatness and inclination values of the surface of the building. Aiming at this problem, this paper introduce a method to solve it based on terrestrial laser point cloud, first step is fitting point-cloud datum to point-cloud model for reducing random errors in original point cloud, and then calculating the distance between original points to fitting model on homogeneous region and upon determining root mean square error about this distance as a flatness i...

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