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2025 Vol.15, Issue 4 Preview Page

Research Article

Automatic Registration Method between BIM and Point Cloud Data for Construction Accuracy Analysis

시공정밀도 분석을 위한 BIM과 포인트클라우드 데이터의 자동 정합 방안

Hyeon-Su Lim1
,
Yu-Sin Lee2
,
Seok-Heon Yun3*
임 현수1
,
이 유신2
,
윤 석헌3*
1학생회원, 경상국립대학교 건축공학과 학사과정
2학생회원, 경상국립대학교 건축공학과 석사과정
3정회원, 경상국립대학교 건축공학과 교수
*Corresponding Author
31 December 2025. pp. 84-92
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Abstract

This study proposes an automatic registration process between Building Information Modeling (BIM) and point cloud models to enhance construction accuracy analysis. Specifically, the proposed method utilizes Z-axis and centroid alignment based on RANSAC, global registration using Fast Point Feature Histograms (FPFH), and fine registration via a 2D plane-based Iterative Closest Point (ICP) algorithm. To validate the performance of the automated process, registration results were visualized using heatmaps to analyze spatial error distributions. Furthermore, the effectiveness of the proposed technique was quantitatively evaluated by comparing the global registration stage with the complete automatic registration process using point-to-point distance error histograms and statistical metrics, including Mean, Root Mean Square Error (RMSE), and Standard Deviation. Experimental results using corridor data from a target building demonstrated that the proposed method reduced the mean error by over 80% compared to existing methods, achieving high registration precision. These findings suggest that the proposed approach improves both the efficiency and accuracy of BIM–point cloud integration, thereby streamlining construction quality control tasks while enhancing inspection precision.

Keywords
BIM
Point Cloud
Automatic Registration
키워드
빌딩정보모델
포인트클라우드
자동 정합
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Information
  • Publisher :Journal of KIBIM
  • Publisher(Ko) :한국BIM학회
  • Journal Title :Journal of KIBIM
  • Journal Title(Ko) :한국BIM학회논문집
  • Volume : 15
  • No :4
  • Pages :84-92
  • Received Date : 2025-12-29; 2025-12-30
  • Accepted Date : 2025-12-30
  • DOI :https://doi.org/10.13161/kibim.2025.15.4.084
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