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A Study on the Construction of Indoor Spatial Information using a Terrestrial LiDAR

지상라이다를 이용한 지하철 역사의 3D 실내공간정보 구축방안 연구

  • Received : 2013.05.03
  • Accepted : 2013.06.27
  • Published : 2013.06.30

Abstract

Recently, importance of indoor space is on the rise, as larger and more complex buildings are taking place due to development of building technology. Accordingly, range of the target area of spatial information service is rapidly expanding from outdoor space to indoor space. Various demands for indoor spatial information are expected to be created in the future through development of high technologies such as IT Mobile and convergence with various area. Thus this research takes a look at available methods for building indoor spatial information and then builds high accuracy three-dimensional indoor spatial information using indoor high accuracy laser survey and 3D vector process technique. The accuracy of built 3D indoor model is evaluated by overlap analysis method refer to a digital map, and the result showed that it could guarantee its positional accuracy within 0.04m on the x-axis, 0.06m on the y-axis. This result could be used as a fundamental data for building indoor spatial data and for integrated use of indoor and outdoor spatial information.

최근 공간정보 서비스 대상 영역의 범위가 실외 공간에서 실내 공간으로 급속하게 확대되어 가고 있으며, 이러한 변화는 IT 모바일 등 첨단기술의 발달과 함께 다양한 분야와의 융 복합을 통한 연계 활용으로 향후 실내공간정보의 다양한 서비스 수요를 창출하게 될 것으로 판단된다. 따라서 본 연구에서는 현재 활용 가능한 실내공간정보 구축방법에 대해 살펴본 후, 서울 시청 지하철 역사를 대상으로 실내 고정밀 레이저 측량 및 3차원 벡터 가공기술을 활용하여 정밀 3차원 실내공간정보를 구축하였다. 구축된 정밀 3차원 실내모델은 1:1000 수치지도와의 중첩분석을 통해 정확도 평가를 실시하였으며 그 결과, X축으로 최대 0.04m Y축으로 최대 0.06m 이내의 위치정확도를 확보할 수 있는 것을 확인할 수 있었다. 이러한 결과는 향후 실내공간정보 구축 및 실내외 공간정보 연계활용을 위한 기초자료로 활용될 수 있을 것이다.

Keywords

References

  1. Choi, C. S; Kim, I. H. 2011, Interoperability Tests of IFC Property Information for Open BIM based Quality Assurance, Transactions of the Society of CAD/CAM Engineers, 16(2):92-103.
  2. Hagedorn, B; Trapp, M; Glander, T; Dollner, J. 2009, Towards an Indoor Level-of-Detail Model for Route Visualization, 2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware, 692-697.
  3. Henry, P; Krainin, M; Herbst, E; Ren, X; Fox, D. 2010, RGB-D Mapping: Using depth cameras for dense 3D modeling of indoor environments, in Proceedings of the 12th International Symposium on Experimental Robotics(ISER).
  4. Huang, A; Bachrach, A; Henry, P; Krainin, M; Maturana, D; Fox, D; Roy, N. 2011, Visual odometry and mapping for autonomous flight using an RGB-D camera, in Proceedings of the International Symposium of Robotics Research(ISRR), Flagstaff, USA.
  5. Kim, I. H; Choi, J. S. 2010, BIM and IFC Standard International Situation, 36th KSCE Annual Conference.
  6. Lee, H. J; Lee, Y. W. 2013, Implementation of Geo-Semantic App by Combining Mobile User Contexts with Geographic Ontologies, Journal of Korea Spatial Information Society, 21(1):1-13. https://doi.org/10.12672/ksis.2013.21.1.001
  7. Lee, Y. M; Seo, Y. D. 2009, SLAM Vision-Based SLAM in Augmented/Mixed Reality, Journal of Korea Multimedia Society, 13(3):12-20.
  8. Li, K. J. 2012, IndoorGML", 80th OGC Technical Committee Austin, Texas(USA).
  9. Ministry of Land, Transport and Maritime Affairs. 2012, A Research on the Technology of Integrated Management System for Localization and Indoor Spatial information 2012.
  10. Moustafa A; Moustafa Y. 2012, CrowdInside: Automatic Construction of Indoor Floorplans, Proceedings of the 20th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems.
  11. Peter, M; Haala, N; Fritsch, D. 2011, Using photographed evacuation plans to support MEMS IMU navigation, in Proceedings of the 2011 International Conference on Indoor Positioning and Indoor Navigation (IPIN2011), Guimaraes, Portugal.
  12. Yoo, C. H; Choi, Y. S; Kim, J. M. 2008, Analysis of Slope Fracturing using a Terrestrial LiDAR, Journal of Korea Spatial Information Society, 16(3):279-290.
  13. http://aecbytes.com.
  14. http://aia.org.
  15. BuildingSmart Alliance, http://buildingsmart.org.
  16. http://maps.google.com.
  17. http://opengeospatial.org.

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