Automatic creation of as-is building information model from single-track railway tunnel point clouds

Cheng, Yun-Jian; Qiu, Wenge; Duan, Dong-Ya

doi:10.1016/j.autcon.2019.102911

Cited by 44 publications

(32 citation statements)

References 47 publications

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“…The methods that include region growingbased methods [20], [21], model fitting-based methods [22] and feature clustering-based methods [23] are usually adopted in this process. Then these elements are classified by rule-based methods [24]- [26], machine learning methods [27], [28] or deep learning methods [29], [30]. The above steps are not necessary for single object modeling, such as precast concrete elements [31].…”

Section: A Creation Of Bim Model From Point Cloudmentioning

confidence: 99%

A Survey of Applications With Combined BIM and 3D Laser Scanning in the Life Cycle of Buildings

Liu

Hyyppä

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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The integration of building information model (BIM) with point cloud from 3D laser scanner provides powerful assistance in a variety of applications in the life cycle of building. However, the adoption of BIM and 3D laser scanning for applications in the whole life cycle of buildings has yet to be satisfactorily reviewed. There is a need to understand the current situation of applications with BIM and 3D laser scanning and their combined methods. The authors summarized combined methods of BIM and 3D laser scanning at first. Then the work presented in this paper provides summarization of applications in the life cycle of building. In addition, the impact of emerging technologies on applications also be discussed. In this review, articles were limited to those published over the last decade. Two patterns in the approach to integrate BIM and 3D laser scanning are reviewed. Several domains of application namely construction progress tracking, building components quality control, construction site safety, structural health monitoring, rescue after the disaster, energy modeling and management and modeling for exist building are looked back. According to occurred time of these applications, this paper divides them into two classes: applications in construction period and applications in maintenance period. Based on the observed limitations in the reviewed papers, the authors conclude some potential future research trend for these applications based emerging technology at the same time.

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Section: A Creation Of Bim Model From Point Cloudmentioning

confidence: 99%

A Survey of Applications With Combined BIM and 3D Laser Scanning in the Life Cycle of Buildings

Liu

Hyyppä

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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show abstract

“…e device is turned on, and the laser range finder will be used as an aid to select a suitable position. Place two geological boards on the tunnel face in advance to convert the reconstructed model from the camera coordinate system to the geodetic coordinate system [7]. Take down the photosource equipped with the CameraPad and place it in a suitable position so that the tunnel face can be photographed clearly.…”

Section: Background and Related Workmentioning

confidence: 99%

“…By comparison, the mean trace lengths obtained from rectangular sampling windows are more suitable for estimating different geological surface orientations. Cheng et al developed a general technique to automatically identify the different types of components using TLS [7]. Li et al proposed deformation monitoring using TLS in Underground Station Cavity Clusters [8].…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Reconstruction of Tunnel Face Based on Multiple Images

Qiu

Jian

Cheng

et al. 2021

Advances in Civil Engineering

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The current geological sketch in tunnel engineering is mainly based on sketches of workers. However, geological sketch drawn by workers always offers fundamental data purely due to its drawing mode. A novel drawing method for geological sketch has been introduced using multiview photos in this process. The images of tunnel faces are taken from multiple angles, and every two pictures have overlaps. By measuring the distance between the camera and the tunnel face using a laser range finder, the photographic scale of each photo can be confirmed. SpeededUp Robust Features (SURF) is a good practice for detecting feature points, and the sparse point cloud is reconstructed from multiview photos by structure from motion (SFM). However, the sparse point cloud is not suitable for analysis for structural planes due to its sparsity. Therefore, patch-based multiview stereo (PMVS) is used to reconstruct dense point cloud from the sparse point cloud. After 3D reconstruction, the details of the tunnel face are recorded. The proposed technique was applied to multiview photos acquired in the Xiaosanxia railway tunnel and Fengjie tunnel in Chongqing, China. In order to record the geological conditions of the tunnel face quickly and accurately, Chengdu Tianyou Tunnelkey has developed a set of software and hardware integration system called CameraPad. Besides, CameraPad was used to collect the multiview photos of the tunnel face in the No. 1 Xinan railway tunnel in Jilin, China. By comparing with traditional and existing methods, the proposed method offers a more reductive model for geological conditions of the tunnel face.

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“…It is necessary to segment the rail from the massive point cloud data at first. At present, the common point cloud segmentation methods include clustering segmentation, segmentation based on random sampling consistency and segmentation based on region growth [9][10][11]. This thesis proposed region growing segmentation based on the reflection intensity of point cloud, segmenting the rail according to the reflection characteristics, geometric dimensions and continuous characteristics of rail.…”

Section: Rail Segmentationmentioning

confidence: 99%

A Research and Application of the Processing Methods of Railway Measurement Based on Self-Mobile Scanning Measurement System

Zhang

Han

et al. 2020

Advances in Transdisciplinary Engineering

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With the gradual improvement of China’s railway net, the opening of international railways as well as the continuous growth of railway operating mileage, the workload of remeasuring railways is increasing. The traditional methods of remeasuring railways can not meet current high-speed and high-density operating conditions anymore in terms of safety, efficiency and quality, so a safer and more efficient measurement method is urgently needed.This thesis integrated various sensors on a self-mobile instrument, such as 3D laser scanner, digital image sensor and GNSS_IMU, designing a set of intelligent and integrated self-mobile scanning measurement system. This thesis proposed region growing segmentation based on the reflection intensity of point cloud. Through the secondary development of CAD, the menu for automatic processing of self-mobile scanning measurement system is designed to realize rail automatic segmentation, extraction of rail top points, fitting of plane parameters of railway line, calculation of curve elements and mileage management.The results show that self-mobile scanning measurement system overcomes the shortcomings of traditional railway measurement to some extent, and realizes intelligent measurement of railways.

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Automatic creation of as-is building information model from single-track railway tunnel point clouds

Cited by 44 publications

References 47 publications

A Survey of Applications With Combined BIM and 3D Laser Scanning in the Life Cycle of Buildings

A Survey of Applications With Combined BIM and 3D Laser Scanning in the Life Cycle of Buildings

Three-Dimensional Reconstruction of Tunnel Face Based on Multiple Images

A Research and Application of the Processing Methods of Railway Measurement Based on Self-Mobile Scanning Measurement System

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