3D tunnel reconstruction and visualization through multi-smartphone photogrammetry

被引:4
作者
Fang, Kun [1 ]
Dong, Ao [1 ]
Tang, Huiming [1 ,2 ]
Miao, Minghao [1 ]
An, Pengju [3 ]
Zhang, Bocheng [1 ]
Jia, Shixun [1 ]
机构
[1] China Univ Geosci, Fac Engn, Wuhan 430074, Peoples R China
[2] China Univ Geosci, Badong Natl Observat & Res Stn Geohazards, Wuhan 430074, Peoples R China
[3] Ningbo Univ, Inst Rock Mech, Ningbo, Peoples R China
关键词
Tunnel documentation and visualization; Structure from motion; Multiview stereo (SfM-; MVS); Multi-smartphone photogrammetry; FROM-MOTION PHOTOGRAMMETRY; LOW-COST;
D O I
10.1016/j.measurement.2023.113764
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Tunnel documentation and inspection are crucial for ensuring public safety. To provide a useful tool in 3D tunnel reconstruction for engineers, we propose a novel multi-smartphone measurement (MSM) system for reconstructing and visualizing 3D tunnel models. This innovative system boasts user-friendly operation, streamlined data capture, and cost-effectiveness as its defining attributes. The system consists of eight smartphones, a controller, a backpack, and software. Different shooting strategies with various overlaps along the longitudinal and circumferential directions are investigated in a pedestrian tunnel. A uniform overlap rate along the circumferential direction can be achieved in the MSM system. By comparing the results with total station measurements, the evaluation of the system's performance is carried out and assessed from point density and point distance error. The results show that the average absolute point distance errors of the system are less than 0.3 cm under a high overlap and that an overlap along both circumferential and longitudinal directions close to or higher than 50% is recommended for 3D tunnel reconstruction. With the features of easy handling, efficient recording, and low pricing, the MSM system has the potential to provide a useful tool for tunnel visualization and documentation.
引用
收藏
页数:17
相关论文
共 51 条
  • [1] Agisoft, 2019, Agisoft metashape standard user manual (Version 1.6)
  • [2] A fast and practical method for determining particle size and shape by using smartphone photogrammetry
    An, Pengju
    Tang, Huiming
    Li, Changdong
    Fang, Kun
    Lu, Sha
    Zhang, Jiefei
    [J]. MEASUREMENT, 2022, 193
  • [3] Tunnel inspection using photogrammetric techniques and image processing: A review
    Attard, Leanne
    Debono, Carl James
    Valentino, Gianluca
    Di Castro, Mario
    [J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2018, 144 : 180 - 188
  • [4] Carrivick J.L., 2016, STRUCTURE MOTION GEO, DOI DOI 10.1002/9781118895818.CH1
  • [5] Chaiyasarn K., 2014, Damage Detection and Monitoring for Tunnel Inspection Based on Computer Vision
  • [6] Distortion-Free Image Mosaicing for Tunnel Inspection Based on Robust Cylindrical Surface Estimation through Structure from Motion
    Chaiyasarn, Krisada
    Kim, Tae-Kyun
    Viola, Fabio
    Cipolla, Roberto
    Soga, Kenichi
    [J]. JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 2016, 30 (03)
  • [7] A novel image-based approach for interactive characterization of rock fracture spacing in a tunnel face
    Chen, Jiayao
    Chen, Yifeng
    Cohn, Anthony G.
    Huang, Hongwei
    Man, Jianhong
    Wei, Lijun
    [J]. JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING, 2022, 14 (04) : 1077 - 1088
  • [8] Towards semi-automatic discontinuity characterization in rock tunnel faces using 3D point clouds
    Chen, Jiayao
    Huang, Hongwei
    Zhou, Mingliang
    Chaiyasarn, Krisada
    [J]. ENGINEERING GEOLOGY, 2021, 291 (291)
  • [9] Corradetti A, 2021, Virtual outcrops in a pocket: The smartphone as a fully equipped photogrammetric data acquisition tool, DOI [10.1130/GSATG506A.1, DOI 10.1130/GSATG506A.1]
  • [10] Benchmarking Different SfM-MVS Photogrammetric and iOS LiDAR Acquisition Methods for the Digital Preservation of a Short-Lived Excavation: A Case Study from an Area of Sinkhole Related Subsidence
    Corradetti, Amerigo
    Seers, Thomas
    Mercuri, Marco
    Calligaris, Chiara
    Busetti, Alice
    Zini, Luca
    [J]. REMOTE SENSING, 2022, 14 (20)