점군 데이터를 활용한 옹벽의 단면 수치 정보 자동화 도출

• 영문명: Automated Derivation of Cross-sectional Numerical Information of Retaining Walls Using Point Cloud Data
• 발행기관: 한국BIM학회
• 저자명: 한제희(Jehee Han) 장민서(Minseo Jang) 한형서(Hyungseo Han) 조형준(Hyoungjun Jo) 신도형(Do Hyoung Shin)
• 간행물 정보: 『KIBIM Magazine』14권 2호, 1~12쪽, 전체 12쪽
• 주제분류: 공학 > 건축공학
• 파일형태: PDF
• 발행일자: 2024.06.30

국문 초록

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 precisiondemanding 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.

목차

1. 서론

2. 방법론

3. Validation

4. 결론

감사의 글

References

키워드

스캔 투 빔 3차원 라이다 점군 데이터 유지관리 Scan-to-BIM 3D LiDAR Point Cloud Data Construction Management