Korean Journal of Computational Design and Engineering (한국CDE학회논문집)

Society for Computational Design and Engineering (한국CDE학회)
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A Study on Automatic Modeling of Pipelines Connection Using Point Cloud

포인트 클라우드를 이용한 파이프라인 연결 자동 모델링에 관한 연구

  • Lee, Jae Won (Graduate School of Advanced Imaging Science, Multimedia & Film, Chung-Ang Univ.) ;
  • Patil, Ashok Kumar (Graduate School of Advanced Imaging Science, Multimedia & Film, Chung-Ang Univ.) ;
  • Holi, Pavitra (Graduate School of Advanced Imaging Science, Multimedia & Film, Chung-Ang Univ.) ;
  • Chai, Young Ho (Graduate School of Advanced Imaging Science, Multimedia & Film, Chung-Ang Univ.)
  • Received : 2016.04.11
  • Accepted : 2016.06.07
  • Published : 2016.09.01
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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.

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References

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