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      지상레이저스캐닝 기반 3차원 실내 모델링 = 3D Indoor Modeling Based on Terrestrial Laser Scanning

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      https://www.riss.kr/link?id=A101662685

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      다국어 초록 (Multilingual Abstract)

      According to the increasing demand for 3D indoor spatial information, the utilization of a terrestrial laser scanner comes to the fore. However, the research for the comparison between a terrestrial laser scanning method and a traditional surveying method is insufficient. The paper evaluated the time-efficiency and the locational accuracy of an AMCW type and a direct TOF type of terrestrial laser scanning methods in comparison with the observation using a total station. As a result, an AMCW type showed higher time-efficiency than a direct TOF type and the RMSE between the two types of data was ${\pm}1mm$. Moreover, the terrestrial laser scanning method showed twice higher time-efficiency than the observation using a total station and the RMSE between the two data was ${\pm}3.4cm$. The results indicate that the terrestrial laser scanning method has better profitability and performance for 3D indoor modeling than the traditional survey using a total station. In the future, a terrestrial laser scanner can be efficiently utilized in the construction of 3D indoor spatial information.
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      According to the increasing demand for 3D indoor spatial information, the utilization of a terrestrial laser scanner comes to the fore. However, the research for the comparison between a terrestrial laser scanning method and a traditional surveying me...

      According to the increasing demand for 3D indoor spatial information, the utilization of a terrestrial laser scanner comes to the fore. However, the research for the comparison between a terrestrial laser scanning method and a traditional surveying method is insufficient. The paper evaluated the time-efficiency and the locational accuracy of an AMCW type and a direct TOF type of terrestrial laser scanning methods in comparison with the observation using a total station. As a result, an AMCW type showed higher time-efficiency than a direct TOF type and the RMSE between the two types of data was ${\pm}1mm$. Moreover, the terrestrial laser scanning method showed twice higher time-efficiency than the observation using a total station and the RMSE between the two data was ${\pm}3.4cm$. The results indicate that the terrestrial laser scanning method has better profitability and performance for 3D indoor modeling than the traditional survey using a total station. In the future, a terrestrial laser scanner can be efficiently utilized in the construction of 3D indoor spatial information.

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      참고문헌 (Reference)

      1 홍성철, "지상 라이다의 점군 데이터를 이용한 2차원 및 3차원 실내 GIS 도면 반자동 구축 기법 개발" 한국지형공간정보학회 21 (21): 97-103, 2013

      2 Arayici, Y, "Towards building information modelling for existing structures" 26 (26): 210-222, 2008

      3 "Topcon, 9-series, robotic Total Station System"

      4 Fröhlich, C., "Terrestrial laser scanningnew perspectives in 3D surveying" 36 (36): 2004

      5 Hajian, H., "Scan to BIM: Factors Affecting Operational and Computational Errors and Productivity Loss" 2010

      6 Fischler, M. A., "Random sample consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography" 24 (24): 381-395, 1981

      7 Heo, J., "Productive high-complexity 3D city modeling with point clouds collected from terrestrial LiDAR, Computers" 41 : 26-38, 2013

      8 Ingensand, H., "Metrological aspects in terrestrial laserscanning technology" 2006

      9 Leica Geosystems, "Leica ScanStation C10"

      10 Faro, "Faro Focus3D brochure"

      1 홍성철, "지상 라이다의 점군 데이터를 이용한 2차원 및 3차원 실내 GIS 도면 반자동 구축 기법 개발" 한국지형공간정보학회 21 (21): 97-103, 2013

      2 Arayici, Y, "Towards building information modelling for existing structures" 26 (26): 210-222, 2008

      3 "Topcon, 9-series, robotic Total Station System"

      4 Fröhlich, C., "Terrestrial laser scanningnew perspectives in 3D surveying" 36 (36): 2004

      5 Hajian, H., "Scan to BIM: Factors Affecting Operational and Computational Errors and Productivity Loss" 2010

      6 Fischler, M. A., "Random sample consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography" 24 (24): 381-395, 1981

      7 Heo, J., "Productive high-complexity 3D city modeling with point clouds collected from terrestrial LiDAR, Computers" 41 : 26-38, 2013

      8 Ingensand, H., "Metrological aspects in terrestrial laserscanning technology" 2006

      9 Leica Geosystems, "Leica ScanStation C10"

      10 Faro, "Faro Focus3D brochure"

      11 Hammoudi, K., "Extracting building footprints from 3D point clouds using terrestrial laser scanning at street level" 65-70, 2009

      12 Randall, T, "Construction engineering requirements for integrating laser scanning technology and building information modeling" 137 (137): 797-805, 2011

      13 Schulz, T., "Calibration of a terrestrial laser scanner for engineering geodesy" Institut für Geodäsie und Photogrammetrie an der Eidgenössischen Technischen Hochschule Zürich 2008

      14 Tang, P., "Automatic reconstruction of as-built building information models from laser-scanned point clouds: A Review of Related Techniques" 19 (19): 829-843, 2010

      15 Budroni, A., "Automatic 3D modelling of indoor manhattan-world scenes from laser data" 2010

      16 Becerik-Gerber, B., "Assessment of target types and layouts in 3D laser scanning for registration accuracy" 20 (20): 649-658, 2011

      17 Jazayeri, I., "A geometric and semantic evaluation of 3D data sourcing methods for land and property information" 36 : 219-230, 2014

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2022 평가예정 계속평가 신청대상 (등재유지)
      2017-01-01 평가 우수등재학술지 선정 (계속평가)
      2013-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2006-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2004-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2001-07-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      1998-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.4 0.4 0.41
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.38 0.35 0.707 0.11
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