TLS-Point Clouding-3D Shape Deflection Monitoring

  • Gichun Cha
  • Byungjoon Yu
  • Sehwan Park
  • Seunghee ParkEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 943)


As high-rise buildings and aging structures increase, researches are underway to effectively inspect structures and prevent accidents in Korea. The structure cannot maintain its original shape due to natural disasters and loads, and deformation occurs. The accidents caused by the deformation of the structure have become a common news in the surroundings. Therefore, this study proposes a noncontact shape management monitoring method that can check structures and detect deformation.


Terrestrial Laser Scanning Point cloud ICP algorithm Deflection Monitoring 



This work is financially supported by Korea Ministry of Land, Infrastructure and Transport (MOLIT) as “Smart City Master and Doctor Course Grant Program” and by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIP) (No. NRF-2017R1A2B3007607).


  1. 1.
    Lee, H.M., Park, H.S.: Estimation of deformed shapes of beam structures using 3D coordinate information from terrestrial laser scanning. Comput. Model. Eng. Sci. 29(1), 29–44 (2008)Google Scholar
  2. 2.
    Huber, D., Akinci, B., Tang, P., Adan, A., Okorn, B., Xiong, X.: Using laser scanners for modeling and analysis in architecture, engineering and construction, In: 44th Annual Conference on Information Sciences and Systems, pp. 1–6 (2010)Google Scholar
  3. 3.
    Kumar, P., Mcelhinney, C., Lewis, P., Mccarthy, T.: An automated algorithm for extracting road edges from terrestrial mobile LiDAR data. ISPRS J. Photogramm. Remote Sens. 85, 44–55 (2013)CrossRefGoogle Scholar
  4. 4.
    Beger, R., Gedrange, C., Hecht, R., Neubert, M.: Data fusion of extremely high resolution aerial imagery and LiDAR data for automated railroad centre line reconstruction. ISPRS J. Photogramm. Remote Sens. 66, 40–51 (2011)CrossRefGoogle Scholar
  5. 5.
    Melzer, T., Briese, C.: Extraction and modeling of power lines from ALS point clouds. In: Proceeding of 28th OAGM Workshop on Austrian Association for Pattern Recognition, pp. 47–54. Osterreichische Computer Gesellschaft, Hagenberg (2004)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Gichun Cha
    • 1
  • Byungjoon Yu
    • 1
  • Sehwan Park
    • 1
  • Seunghee Park
    • 2
    Email author
  1. 1.Department of Convergence Engineering for Future CitySungkyunkwan UniversitySuwon-siRepublic of Korea
  2. 2.School of Civil and Architectural EngineeringSungkyunkwan UniversitySuwon-siRepublic of Korea

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