• Title/Summary/Keyword: 3D 포토 스캐너

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Engineering Construction With High-Precision Survey Equipment (3D laser scanner, 3D photo scanner, drone) (고정밀 측량장비(3D 레이저 스캐너, 3D 포토 스캐너, 드론)를 활용한 건축 시공단계의 엔지니어링 적용사례)

  • Krchung, Kwang-Ryang;Lee, Byoung-Do;Kim, Tae-Hyuk
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2019.05a
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    • pp.133-134
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    • 2019
  • As information and construction technology increases, the demand for sophisticated geometric design grows. Design of buildings is becoming more larger, higher, and complicated every day, requiring much new construction technology to bring the design into reality. Nonetheless, the speed of construction technology development is not as rapid. This study concerns the difficulties of realization of sophisticated geometric design. It aims to suggest using BIM and precision survey equipment during the construction stage of the project is a way to resolve. The study will list how to use BIM as an engineering platform incorporating a photo scanner, a scanner drone, and a 3D scanner in the construction stage of projects, how these progressive projects were able to benefit from the high-construction technology.

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Comparison of Virtual 3D Tree Modelling Using Photogrammetry Software and Laser Scanning Technology (레이저스캐닝과 포토그래메트리 소프트웨어 기술을 이용한 조경 수목 3D모델링 재현 특성 비교)

  • Park, Jae-Min
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.2
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    • pp.304-310
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    • 2020
  • The technology in 3D modelling have advanced not only maps, heritages, constructions but also trees modelling. By laser scanning(Faro s350) and photogrammetry software(Pix4d) for 3D modelling, this study compared with real coniferous tree and both technology's results about characteristics of shape, texture, and dimensions. As a result, both technologies all showed high reproducibility. The scanning technique showed very good results in the reproduction about bark and leaves. Comparing the detailed dimensions on it, the error between the actual tree and modelling with scanning was 1.7~2.2%, and the scanning result was larger than the actual tree. The error between the actual tree and photogrammetry was only 0.2~0.5%, which was larger than the actual tree. On the other hand, the dark areas's modelling was not fully processed. This study is meaningful as a basic research that can be used for tree DB on BIM for the landscape architecture, landscape design and analysis with AR technology, historical tree and heritage also.