Automated Derivation of Cross-sectional Numerical Information of Retaining Walls Using Point Cloud Data

Jehee Han; Minseo Jang; Hyungseo Han; Hyoungjun Jo; Do Hyoung Shin

doi:10.13161/kibim.2024.14.2.001

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2024 Vol.14, Issue 2 Next Page

Research Article

Automated Derivation of Cross-sectional Numerical Information of Retaining Walls Using Point Cloud Data 점군 데이터를 활용한 옹벽의 단면 수치 정보 자동화 도출

30 June 2024. pp. 1-12

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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.

Keywords

스캔 투 빔

3차원 라이다

점군 데이터

유지관리

키워드

Scan-to-BIM

3D LiDar

Point Cloud Data

Construction Management

References

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Information

Publisher :Journal of KIBIM
Publisher(Ko) :한국BIM학회
Journal Title :Journal of KIBIM
Journal Title(Ko) :한국BIM학회논문집
Volume : 14
No :2
Pages :1-12
Received Date : 2024-05-13; 2024-06-11
Accepted Date : 2024-06-16
DOI :https://doi.org/10.13161/kibim.2024.14.2.001

Journal of KIBIM ISSN:2288-1697(Print) 2288-1697(Online) 한국BIM학회논문집

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