TY - JOUR

T1 - A feature extraction method for deformation analysis of large-scale composite structures based on TLS measurement

AU - Xu, Xiangyang

AU - Yang, Hao

AU - Neumann, Ingo

N1 - Funding Information: The authors of this paper are supported by Deutsche Forschungsgemeinschaft . The authors also would like to acknowledge the support of Natural Science Foundation of Jiangsu Province (No: BK20160558 ). The authors wish to acknowledge the support of all the colleagues in Geodetic Institute of Leibniz University Hanover for their valid information and help.

PY - 2018/1/15

Y1 - 2018/1/15

N2 - How to obtain a three-dimensional (3D) model efficiently and extract the feature information of larger-scale composite structures, such as tunnels, accurately is a significant issue in the field of health monitoring. Therefore, an effective method based on TLS measurement is proposed and developed using surface-based non-destructive technology. In this paper, terrestrial laser scanning (TLS) technology is adopted to investigate the tunnel structure, focusing on the extraction of the characteristic section and central curve, which could be applied in deformation monitoring. Point cloud data from TLS measurement is processed in four steps: section extraction, section projection, calculation of central points and curve approximation. The innovation of this paper lies in the projection and iterative filtering of the ring data and rasterization of the point clouds for vertical and horizontal lines. The random sample consensus (RANSAC) algorithm is implemented to approximate the vertical and horizontal lines. The central curve, approximated from the central points, agrees with the general design model and the accuracy falls within the millimeter range.

AB - How to obtain a three-dimensional (3D) model efficiently and extract the feature information of larger-scale composite structures, such as tunnels, accurately is a significant issue in the field of health monitoring. Therefore, an effective method based on TLS measurement is proposed and developed using surface-based non-destructive technology. In this paper, terrestrial laser scanning (TLS) technology is adopted to investigate the tunnel structure, focusing on the extraction of the characteristic section and central curve, which could be applied in deformation monitoring. Point cloud data from TLS measurement is processed in four steps: section extraction, section projection, calculation of central points and curve approximation. The innovation of this paper lies in the projection and iterative filtering of the ring data and rasterization of the point clouds for vertical and horizontal lines. The random sample consensus (RANSAC) algorithm is implemented to approximate the vertical and horizontal lines. The central curve, approximated from the central points, agrees with the general design model and the accuracy falls within the millimeter range.

KW - Central line

KW - Cross section

KW - Curve approximation

KW - Point cloud

KW - Terrestrial laser scanning

KW - Tunnel structure

UR - http://www.scopus.com/inward/record.url?scp=85031764765&partnerID=8YFLogxK

U2 - 10.1016/j.compstruct.2017.09.087

DO - 10.1016/j.compstruct.2017.09.087

M3 - Article

AN - SCOPUS:85031764765

VL - 184

SP - 591

EP - 596

JO - Composite structures

JF - Composite structures

SN - 0263-8223

ER -