Reconstruction of shield tunnel lining using point cloud

Duan, Dong-Ya; Qiu, Wenge; Cheng, Yong; Zheng, Yuchao; Lü, Feng

doi:10.1016/j.autcon.2021.103860

Cited by 31 publications

(15 citation statements)

References 46 publications

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“…With the popularity of 3D reconstruction technology, the surface reconstruction has been widely applied in various fields, such as the mapping [1], driverless [2], medical technology [3], robotics [4]. For the methods of reconstructing surfaces based on the 3D point cloud data, they can be generally divided into two schemes: the local methods and the global methods.…”

Section: Introductionmentioning

confidence: 99%

An Improved Poisson Surface Reconstruction Algorithm based on the Boundary Constraints

Liu¹,

Wang²,

Tahir³

et al. 2023

IJACSA

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The usage of the point cloud surface reconstruction to generate high-precision 3D models has been widely applied in various fields. In order to deal with the problems of insufficient accuracy, pseudo-surfaces and high time cost caused by the traditional surface reconstruction algorithms of the point cloud data, this paper proposes an improved Poisson surface reconstruction algorithm based on the boundary constraints. For large density point cloud data obtained from 3D laser scanning, the proposed method firstly uses an octree instead of the KD-tree to search the near neighborhood; then, it uses the Open Multi-Processing (OpenMP) to accelerate the normal estimation based on the moving least squares algorithm; meanwhile, the leastcost spanning tree is employed to adjust the consistency of the normal direction; and finally a screened Poisson algorithm with the Neumann boundary constraints is proposed to reconstruct the point cloud. Compared with the traditional methods, the experiments on three open datasets demonstrated that the proposed method can effectively reduce the generation of pseudosurfaces. The reconstruction time of the proposed algorithm is about 16% shorter than that of the traditional Poisson reconstruction algorithm, and produce better reconstruction results in the term of quantitative analysis and visual comparison.

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Section: Introductionmentioning

confidence: 99%

An Improved Poisson Surface Reconstruction Algorithm based on the Boundary Constraints

Liu¹,

Wang²,

Tahir³

et al. 2023

IJACSA

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show abstract

“…The model of the scanned rebar data is compared with the as‐design BIM to adjust for placement deviation. The as‐built rebar models from the scanned data are more valuable than those from as‐designed drawings during the operation phase because they record and update the actual position information of tunnel lining rebars to check whether they are still in a safe and healthy condition 30 . To the best of the authors' knowledge, previous studies have mainly focused on horizontally placed rebars.…”

Section: Introductionmentioning

confidence: 99%

“…The asbuilt rebar models from the scanned data are more valuable than those from as-designed drawings during the operation phase because they record and update the actual position information of tunnel lining rebars to check whether they are still in a safe and healthy condition. 30 To the best of the authors' knowledge, previous studies have mainly focused on horizontally placed rebars. The rebar meshes of tunnel linings are placed in a curved form, which undoubtedly increases the technical challenges of segmenting tunnel lining rebars.…”

mentioning

confidence: 99%

Reconstruction of tunnel lining rebars from terrestrial laser scanning data

Cheng

Zheng

Qiu

2023

Structural Concrete

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Incorrect rebar placement has led to serious concrete structural failures; thus, site inspectors must ensure that the rebars placed are compliant with asdesigned drawings before tunnel lining concreting. This paper aims to develop a methodology that automatically segments the semantics (e.g., main rebar and distribution rebar) and instances of curved rebars and reconstructs the tunnel lining rebars from the raw point clouds. There are five main parts in the proposed methodology: rebar mesh reshaping, rebar mesh extraction and refinement, semantic segmentation, instance labeling, and rebar mesh modeling. To validate the developed methodology, an experiment was conducted on the rebar point cloud of a high-speed railway tunnel. The evaluation of the accuracies of segmentation was conducted by comparisons with the existing methods and manually labeled ground truth data. The results show that the rebar segmentation has high precision values with the acceptable recall values, and that the rebar models reconstructed achieve millimeter-level (about 2 mm) accuracy.

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“…Bienert et al [11] proposed a method to extract and measure individual trees using laser scanning technology automatically. Duan et al [12] proposed a method to reconstruct shield tunnel lining using point clouds. Shatnawi et al [13] realized the detection of road ruts using laser scanning.…”

Section: Introductionmentioning

confidence: 99%

LiDAR-Assisted UAV Stereo Vision Detection in Railway Freight Transport Measurement

Zhou

Gong

et al. 2022

Drones

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Identifying and detecting the loading size of heavy-duty railway freight cars is crucial in modern railway freight transportation. Due to contactless and high-precision characteristics, light detection and ranging-assisted unmanned aerial vehicle stereo vision detection is significant for ensuring out-of-gauge freight transportation security. However, the precision of unmanned aerial vehicle flight altitude control and feature point mismatch significantly impact stereo matching, thus affecting the accuracy of railway freight measurement. In this regard, the altitude holding control strategy equipped with a laser sensor and SURF_rBRIEF image feature extraction and matching algorithm are proposed in this article for railway freight car loading size measurement. Moreover, an image segmentation technique is used to quickly locate and dismantle critical parts of freight cars to achieve a rapid 2-dimension reconstruction of freight car contours and out-of-gauge detection. The robustness of stereo matching has been demonstrated by external field experiment. The precision analysis and fast out-of-gauge judgment confirm the measurement accuracy and applicability.

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Reconstruction of shield tunnel lining using point cloud

Cited by 31 publications

References 46 publications

An Improved Poisson Surface Reconstruction Algorithm based on the Boundary Constraints

An Improved Poisson Surface Reconstruction Algorithm based on the Boundary Constraints

Reconstruction of tunnel lining rebars from terrestrial laser scanning data

LiDAR-Assisted UAV Stereo Vision Detection in Railway Freight Transport Measurement

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