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Robust and automatic modeling of tunnel structures based on terrestrial laser scanning measurement

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Listed:
  • Xiangyang Xu
  • Hao Yang
  • Boris Kargoll

Abstract

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.

Suggested Citation

  • Xiangyang Xu & Hao Yang & Boris Kargoll, 2019. "Robust and automatic modeling of tunnel structures based on terrestrial laser scanning measurement," International Journal of Distributed Sensor Networks, , vol. 15(11), pages 15501477198, November.
    • Handle: RePEc:sae:intdis:v:15:y:2019:i:11:p:1550147719884886
    DOI: 10.1177/1550147719884886
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    References listed on IDEAS

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    1. Xiangyang Xu & Hao Yang, 2018. "Network method for deformation analysis of three-dimensional point cloud with terrestrial laser scanning sensor," International Journal of Distributed Sensor Networks, , vol. 14(11), pages 15501477188, November.
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    Cited by:

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    2. Gong Bencan & Dong Panpan & Chen Peng & Ren Dong, 2020. "Evolutionary game–based trajectory design algorithm for mobile sink in wireless sensor networks," International Journal of Distributed Sensor Networks, , vol. 16(3), pages 15501477209, March.
    3. Juyeon Son & Wonyoung Choi & Sang-Min Choi, 2020. "Trust information network in social Internet of things using trust-aware recommender systems," International Journal of Distributed Sensor Networks, , vol. 16(4), pages 15501477209, April.

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