期刊
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
卷 15, 期 11, 页码 -出版社
SAGE PUBLICATIONS INC
DOI: 10.1177/1550147719884886
关键词
Terrestrial laser scanning; B-spline approximation; robust modeling; rank-based estimator; health monitoring
资金
- Open Access Fund of the Leibniz Universitat Hannover
The terrestrial laser scanning technology is increasingly applied in the deformation monitoring of tunnel structures. However, outliers and data gaps in the terrestrial laser scanning point cloud data have a deteriorating effect on the model reconstruction. A traditional remedy is to delete the outliers in advance of the approximation, which could be time- and labor-consuming for large-scale structures. This research focuses on an outlier-resistant and intelligent method for B-spline approximation with a rank (R)-based estimator, and applies to tunnel measurements. The control points of the B-spline model are estimated specifically by means of the R-estimator based on Wilcoxon scores. A comparative study is carried out on rank-based and ordinary least squares methods, where the Hausdorff distance is adopted to analyze quantitatively for the different settings of control point number of B-spline approximation. It is concluded that the proposed method for tunnel profile modeling is robust against outliers and data gaps, computationally convenient, and it does not need to determine extra tuning constants.
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