Journal of KIBIM (한국BIM학회 논문집)

Korean Institute of Building Information Modeling (한국BIM학회)
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Automated Derivation of Cross-sectional Numerical Information of Retaining Walls Using Point Cloud Data

점군 데이터를 활용한 옹벽의 단면 수치 정보 자동화 도출

  • Han, Jehee ;
  • Jang, Minseo ;
  • Han, Hyungseo ;
  • Jo, Hyoungjun ;
  • Shin, Do Hyoung
  • 한제희 (인하대학교 토목공학과) ;
  • 장민서 (인하대학교 건설환경시스템연구소) ;
  • 한형서 (인하대학교 스마트시티공학과) ;
  • 조형준 (인하대학교 사회인프라공학과) ;
  • 신도형 (인하대학교 사회인프라공학과)
  • Received : 2024.06.11
  • Accepted : 2024.06.16
  • Published : 2024.06.30
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Abstract

The paper proposes a methodology that combines the Random Sample Consensus (RANSAC) algorithm and the Point Cloud Encoder-Decoder Network (PCEDNet) algorithm to automatically extract the length of infrastructure elements from point cloud data acquired through 3D LiDAR scans of retaining walls. This methodology is expected to significantly improve time and cost efficiency compared to traditional manual measurement techniques, which are crucial for the data-driven analysis required in the precision-demanding construction sector. Additionally, the extracted positional and dimensional data can contribute to enhanced accuracy and reliability in Scan-to-BIM processes. The results of this study are anticipated to provide important insights that could accelerate the digital transformation of the construction industry. This paper provides empirical data on how the integration of digital technologies can enhance efficiency and accuracy in the construction industry, and offers directions for future research and application.

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Acknowledgement

본 연구는 국토교통부/국토교통과학기술진흥원의 연구비 지원으로 수행되었습니다. (사업번호 RS-2022-00142566)

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