포인트 클라우드를 이용한 파이프라인 연결 자동 모델링에 관한 연구A Study on Automatic Modeling of Pipelines Connection Using Point Cloud
- Authors
- 이재원; 아쇽 쿠말 파틸; 파비트라 홀리; 채영호
- Issue Date
- Sep-2016
- Publisher
- 한국CDE학회
- Keywords
- Automatic modeling; Pipeline connection; Point cloud; Smart plant 3d
- Citation
- 한국CDE학회 논문집, v.21, no.3, pp 341 - 352
- Pages
- 12
- Journal Title
- 한국CDE학회 논문집
- Volume
- 21
- Number
- 3
- Start Page
- 341
- End Page
- 352
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/7928
- DOI
- 10.7315/CDE.2016.341
- ISSN
- 2508-402X
- Abstract
- Manual 3D pipeline modeling from LiDAR scanned point cloud data is laborious and time-consuming process. This paper presents a method to extract the pipe, elbow and branch information which is essential to the automatic modeling of the pipeline connection. The pipe geometry is estimated from the point cloud data through the Hough transform and the elbow position is calculated by the medial axis intersection for assembling the nearest pair of pipes. The branch is also created for a pair of pipe segments by estimating the virtual points on one pipe segment and checking for any feasible intersection with the other pipe’s endpoint within the pre-defined range of distance. As a result of the automatic modeling, a complete 3D pipeline model is generated by connecting the extracted information of pipes, elbows and branches.
Manual 3D pipeline modeling from LiDAR scanned point cloud data is laborious and time-consuming process. This paper presents a method to extract the pipe, elbow and branch information which is essential to the automatic modeling of the pipeline connection. The pipe geometry is estimated from the point cloud data through the Hough transform and the elbow position is calculated by the medial axis intersection for assembling the nearest pair of pipes. The branch is also created for a pair of pipe segments by estimating the virtual points on one pipe segment and checking for any feasible intersection with the other pipe’s endpoint within the pre-defined range of distance. As a result of the automatic modeling, a complete 3D pipeline model is generated by connecting the extracted information of pipes, elbows and branches.
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Collections - Graduate School of Advanced Imaging Sciences, Multimedia and Film > Department of Imaging Science and Arts > 1. Journal Articles
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