대한공간정보학회지 (Journal of Korean Society for Geospatial Information Science)

  • 제21권2호
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  • Pages.99-105
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  • 2013
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  • 1598-2955(pISSN)
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  • 2287-6693(eISSN)
대한공간정보학회 (Korea Spatial Information Society)
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지상 라이다의 점군 데이터를 이용한 2차원 및 3차원 실내 GIS 도면 반자동 구축 기법 개발

Semi-Automatic Method for Constructing 2D and 3D Indoor GIS Maps based on Point Clouds from Terrestrial LiDAR

  • 홍성철 (연세대학교 토목환경공학과) ;
  • 정재훈 (연세대학교 토목환경공학과) ;
  • 김상민 (연세대학교 토목환경공학과) ;
  • 홍승환 (연세대학교 토목환경공학과) ;
  • 허준 (연세대학교 토목환경공학과)
  • Hong, Sung Chul (School of Civil and Environmental Engineering, Yonsei University) ;
  • Jung, Jae Hoon (School of Civil and Environmental Engineering, Yonsei University) ;
  • Kim, Sang Min (School of Civil and Environmental Engineering, Yonsei University) ;
  • Hong, Seung Hwan (School of Civil and Environmental Engineering, Yonsei University) ;
  • Heo, Joon (School of Civil and Environmental Engineering, Yonsei University)
  • 투고 : 2013.05.07
  • 심사 : 2013.06.13
  • 발행 : 2013.06.30
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초록

도시의 발전 및 성장으로 인해 건물은 고층화, 대형화, 복잡화 되고 있으며, 효율적인 공간정보의 활용 및 공유를 위해 실내외 GIS의 중요성은 증가되고 있다. 하지만 도면 생성기술은 지형 및 도시의 2차원 및 3차원 도면 생성에 대해서 주로 선행되었으며, 건물 실내공간의 도면 구축 기술에 대한 연구는 미비한 실정이다. 본 연구에서는 지상라이다로부터 취득된 실내 점군데이터를 이용한 2차원 및 3차원 실내 도면 반자동 구축 기법을 제안하였다. 제안한 기법은 전처리, 2차원 도면생성, 3차원 도면생성 단계로 이루어진다. 전처리 단계는 실내 공간의 높이를 측정하고 점군데이터의 노이즈를 식별한다. 2차원 도면 생성 단계에서는 외곽선 추출격자와 정제과정을 이용하여 평면도를 생성한다. 3차원 도면 생성 단계에서는 전처리 과정에서 측정된 높이와 평면도를 이용하여 3차원 와이어프레임 모델을 생성한다. 전처리 과정에서 식별된 노이즈 데이터는 3차원 와이어 프레임 모델과 함께 3차원 실내 도면의 세부 모델링에 이용된다. 제안한 기법은 실내 복도를 측량한 점군데이터에 적용하여 결과를 확인하였으며, 향후 실내 GIS 구축을 위한 2차원 및 3차원 도면 생성에 활용될 수 있을 것으로 기대된다.

In rapidly developing urban areas that include high-rise, large, and complex buildings, indoor and outdoor maps in GIS become a basis for utilizing and sharing information pertaining to various aspects of the real world. Although an indoor mapping has gained much attentions, research efforts are mostly in 2D and 3D modeling of terrain and buildings. Therefore, to facilitate fast and accurate construction of indoor GIS, this paper proposes a semi-automatic method consisting of preprocessing, 2D mapping, and 3D mapping stages. The preprocessing is designed to estimate heights of building interiors and to identify noise data from point clouds. In the 2D mapping, a floor map is extracted with a tracing grid and a refinement method. In the 3D mapping, a 3D wireframe model is created with heights from the preprocessing stage. 3D mesh data converted from noise data is combined with the 3D wireframe model for detail modeling. The proposed method was applied to point clouds depicting a hallway in a building. Experiment results indicate that the proposed method can be utilized to construct 2D and 3D maps for indoor GIS.

키워드

참고문헌

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  2. 실내공간 데이터 기반의 응용 서비스를 위한 세밀도 모델에 관한 연구 vol.32, pp.2, 2013, https://doi.org/10.7848/ksgpc.2014.32.2.143
  3. 리모델링 프로젝트의 역설계 적용을 위한 최적 3차원 레이저 스캐닝 정보 획득 방안에 관한 연구 - 실내 리모델링을 대상으로 - vol.15, pp.3, 2014, https://doi.org/10.6106/kjcem.2014.15.3.003