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TLS-Point Clouding-3D Shape Deflection Monitoring

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Advances in Computer Vision (CVC 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 943))

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Abstract

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.

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Acknowledgment

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).

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Authors and Affiliations

  1. Department of Convergence Engineering for Future City, Sungkyunkwan University, Seobu-ro, Suwon-si, Gyeonggi, Republic of Korea

    Gichun Cha, Byungjoon Yu & Sehwan Park

  2. School of Civil and Architectural Engineering, Sungkyunkwan University, Seobu-ro, Suwon-si, Gyeonggi, Republic of Korea

    Seunghee Park

Authors
  1. Gichun Cha
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  2. Byungjoon Yu
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  3. Sehwan Park
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  4. Seunghee Park
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Corresponding author

Correspondence to Seunghee Park .

Editor information

Editors and Affiliations

  1. Saga University, Saga, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Supriya Kapoor

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Cha, G., Yu, B., Park, S., Park, S. (2020). TLS-Point Clouding-3D Shape Deflection Monitoring. In: Arai, K., Kapoor, S. (eds) Advances in Computer Vision. CVC 2019. Advances in Intelligent Systems and Computing, vol 943. Springer, Cham. https://doi.org/10.1007/978-3-030-17795-9_36

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