• Title/Summary/Keyword: 3차원 건물 모델

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Generation of 3D Building Model Using Estimation of Rooftop Surface (Rooftop 평면 추정에 의한 3차원 건물 모델 발생)

  • Kang, Yon-Uk;Woo, Dong-Min
    • Proceedings of the KIEE Conference
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    • 2005.07d
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    • pp.2921-2923
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    • 2005
  • This paper presents to generate 3D building model using estimation of rooftop surface after 3D line segment extraction using hybrid stereo matching techniques in terms of the co-operation of area-based stereo and feature-based stereo. we first performed a junction extraction from 3D line segment data which was obtained by stereo images, and finally generated building's reliable rooftop surface model using LSE(Least Square Error) method after creating surfaces by grouped and fixed junction points. we generated synthetic images for experimentation by photo-realistic simulation on Avenches data set of Ascona aerial images.

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A Study on 3D Model Building of Drones-Based Urban Digital Twin (드론기반 도심지 디지털트윈 3차원 모형 구축에 관한 연구)

  • Lim, Seong-Ha;Choi, Kyu-Myeong;Cho, Gi-Sung
    • Journal of Cadastre & Land InformatiX
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    • v.50 no.1
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    • pp.163-180
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    • 2020
  • In this study, to build a spatial information infrastructure, which is a component of a smart city, a 3D digital twin model in the downtown area was built based on the latest spatial information acquisition technology, the drone. Several analysis models were implemented by utilizing. While the data processing time and quality of the three types of drone photogrammetry software are different, the accuracy of the construction model is ± 0.04 in the N direction and ± 0.03m in the E direction. In the m and Z directions, ± 0.02m was found to be less than 0.1m, which is defined as the allowable range of surveying performance and inspection performance for the boundary point in the area where the registration of the boundary point registration is executed. 1: 500 to 1 of the aerial survey work regulation: The standard deviation, which is the error limit of the photographic reference point of the 600 scale, appeared within 0.14 cm, and it was found that the error limit of the large scale specified in the cadastral and aerial survey was satisfied. In addition, in order to increase the usability of smart city realization using a drone-based 3D urban digital twin model, the model built in this study was used to implement Prospect right analysis, landscape analysis, Right of light analysis, patrol route analysis, and fire suppression simulation training. Compared to the existing aerial photographic survey method, it was judged that the accuracy of the naked eye reading point is more accurate (about 10cm) than the existing aerial photographic survey, and it is possible to reduce the construction cost compared to the existing aerial photographic survey at a construction area of about 30㎢ or less.

Analysis of 3D GIS- Based GNSS Visibility at Urban Area (도심에서의 3차원 GIS 기반 위성항법시스템 가시성 분석)

  • Yoo, Kyung-Ho;Kang, Tae-Sam;Sung, Sang-Kyung;Lee, Eun-Sung;Jeong, Seong-Kyun;Sin, Cheon-Sig;Lee, Sang-Uk;Lee, Young-Jae
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.35 no.12
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    • pp.1095-1100
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    • 2007
  • Visibility of the satellite navigation is related to a environmental condition of a receiver. Obstacles like buildings and trees in urban areas can block signals and have effects on accuracy and reliability of positioning. This paper presents a method of creating 3D analysis model of urban canyon of Seoul using three-Dimensional digital map. Analysis techniques of visible satellites with Ray-Polygon Collision Detection and validation of algorithm through field tests are discussed. We have compared and analyzed the visibility of GPS and Galileo with respect to separate and simultaneous tracking in view of DOP (Dilution of Precision) using the 3D GIS digital map.

An Enhanced Floor Field based Pedestrian Simulation Model (개선된 Floor Field 기반 보행 시뮬레이션 모델)

  • Jun, Chul-Min
    • Journal of Korea Spatial Information System Society
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    • v.12 no.1
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    • pp.76-84
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    • 2010
  • Many pedestrian simulation models for micro-scale spaces as building indoor areas have been proposed for the last decade and two models - social force model and floor field model - are getting attention. Among these, CA-based floor field model is viewed more favourable for computer simulations than computationally complex social force model. However, Kirchner's floor field model has limitations in capturing the differences in dynamic values of different agents and this study proposes an enhanced algorithm. This study improved the floor field model in order for an agent to be able to exclude the influences of its own dynamic values by changing the data structure, and, also modified the initial dynamic value problem in order to fit more realistic environment. In the simulations, real 3D building data stored in a spatial DBMS were used considering future integration with indoor localization sensors and real time applications.

A Study on the Lightweight BIM Shape Format(LBSF) Structure Development to Represent the Large Volume BIM Geometry Objects based on GIS as the Viewpoint of the Building Facility Management (건물 시설물 관리 관점에서 GIS기반 대용량 BIM 형상 객체 표현을 위한 경량 BIM 형상 포맷 구조 개발에 관한 연구)

  • Kang, Tae Wook;Hong, Chang Hee
    • Spatial Information Research
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    • v.21 no.3
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    • pp.79-87
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    • 2013
  • The purpose of this study focuses on the development of the lightweight BIM shape format(LBSF) structure to present the large volume BIM geometry object based on GIS as the viewpoint of the building facility management. Recently, the BIM-based facility management with GIS is researching with the purpose of the urban facility management etc. To implement these use-cases, the BIM geometry objects can be visualized based on urban level with GIS effectively. To do this, the lightweight BIM shape format is designed with the considerations and the prototype for the pilot test is implemented. In the pilot test phase, after developing the IFC file and LBSF file about the model data of the three areas, the performance with the data volume, the screen loading time etc was compared.

Analysis of applying digital elevation maps in hydrological model (유역 모델링의 활용 가능한 수치표고모델 적용 기법 연구)

  • Choi, Hong-Chan;Jang, Suk-Hwan;Shin, Jea-Whan;Seol, Seong-Hoon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.321-321
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    • 2022
  • 유역 모델링은 유역에 강우의 유출 과정을 재현할 수 있는 과정이다. 과거 유역 모델링은 1차원 수준에서 유출과정을 모의하는데 그쳤으나, 기술이 발전함에 있어 입력하는 매개변수 수가 증가함에 따라 모의값의 신뢰성이 높아지고 있다. 본 연구에서는 다양한 매개변수 중 공간매개변수로써 널리 활용되고 있는 수치표고모델의 신뢰성과 범용성을 확인하고자 한다. 유역모델링 연구에 있어, 수치표고모델 정확성은 결과값의 신뢰성을 좌우하는 중요한 인자 중 하나이다. 수치표고모델이란 실제 지형이 나타내는 표고 정보를 수치화 하여 격자 안에 담은 형태의 파일로 대표적으로 DEM(Digital Elevation Models)과 DSM(Digital Surface Models)로 나눌 수 있다 DEM의 경우 해당 지형의 고도정보만을 담고있으며, DSM은 지표면 상의 나무, 건물 등 포함한 지표면의 고도를 담고 있다. 현재 NASA에서는 전 지구의 30m격자 크기로 SRTM-DSM을 제공하고 있으며, 우리나라 국토지리정보원에서도 90m 격자크기의 DEM을 제공하고 있다. 본 연구에서는 남한강 유역의 수치표고모델을 세 가지 Case로 나눠서 유출량 변화 검토를 진행하였다. 산지가 많은 남한강 유역의 10개의 소유역을 선정하였고, 다음과 같이 3개의 Case를 적용하였다. Case1, DEM 자료를 입력했을 경우, Case2, DSM 자료를 입력했을 경우, Case3 DSM+DEM 자료를 입력했을 경우, 각 Case에 대해 유출량을 산정하였고, 그 결과값을 분석하였다. 해당 유역에 세 가지 Case 모두 유출량의 변화량의 큰 차이를 보이지 않았으며, 공간매개변수 적용에 있어 타당성을 보였다. 따라서 본 연구는 인공위성을 통해 산출된 수치표고모델의 신뢰성을 확인 하였고, 활용가능성을 검토 하였다. 이에 따라 향후 연구에 수치표고모델 적용에 있어 미계측유역에도 활용가능한 연구로 기여할 수 있을 것으로 판단된다.

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Earthquake Resistant Design of a Steel Framed Structure in Low Seismic Regions Based on the Dynamic Behaviour (동적거동에 기초한 약진지역 철골뼈대구조물의 내진설계)

  • 국승규
    • Journal of the Earthquake Engineering Society of Korea
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    • v.5 no.2
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    • pp.59-66
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    • 2001
  • 구조물 내진설계의 개념은 기존요구조건이라는 조항으로 시방서에 규정되어 있으며 구조물이 지진발생시에 안전성과 경제성을 최대한 확보할 수 있으며 비선형시간 이력해석을 수행하여 자진시의 동적거동을 기술함으로써 확인할 수 있다. 내진설계에 보편적으로 적용하는 응답스펙트럼해석법은 선형해석법으로 구조물의 비선형동적거동의 영향을 거동계수로 반영하므로 파괴메카니즘 및 기본 요구조건의 만족여부를 거동계수를 구하는 과정으로 결정할 수 있다. 이 연구에서는 내진설계방식에 의해 설계된 약진지역에 의한 화학공장건물의 모델인 3차원 철골뼈대구조물을 선정하고 거동계수를 결정하는 과정을 수행하여 지진시의 동적거동을 확인하였다. 이 연구의 결과, 현 시방서의 응답스펙트럼해석법에 적용되는 거동계수는 강진지역의 구조물의 경우 기능성 및 안정성 한계를 제시하지만 약진지역 구조물의 경우는 실제 동적거동과 무관하다는것과 약진 지역에 위치한 구조물의 내진설계에는 시방서가 제시한 내진설계방식을 적용하는 것이 주요한 사항임을 확인하였다.

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Matching for Cylinder Shape in Point Cloud Using Random Sample Consensus (Random Sample Consensus를 이용한 포인트 클라우드 실린더 형태 매칭)

  • Jin, YoungHoon
    • Journal of KIISE
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    • v.43 no.5
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    • pp.562-568
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    • 2016
  • Point cloud data can be expressed in a specific coordinate system of a data set with a large number of points, to represent any form that generally has different characteristics in the three-dimensional coordinate space. This paper is aimed at finding a cylindrical pipe in the point cloud of the three-dimensional coordinate system using RANSAC, which is faster than the conventional Hough Transform method. In this study, the proposed cylindrical pipe is estimated by combining the results of parameters based on two mathematical models. The two kinds of mathematical models include a sphere and line, searching the sphere center point and radius in the cylinder, and detecting the cylinder with straightening of center. This method can match cylindrical pipe with relative accuracy; furthermore, the process is rapid except for normal estimation and segmentation. Quick cylinders matching could benefit from laser scanning and reverse engineering construction sectors that require pipe real-time estimates.

Development of Artificial Neural Network Model for Prediction of Seismic Response of Building with Soil-structure Interaction (지반-상부 구조물 효과를 고려한 인공신경망 기반 지진 응답 예측 모델 개발)

  • Won, Jongmuk;Shin, Jiuk
    • Journal of the Korean Geotechnical Society
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    • v.36 no.8
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    • pp.7-15
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    • 2020
  • Constructing the maximum displacement and shear force database for the seismic performance of building with soil-structure interaction under varied earthquake scenarios and geotechnical conditions is critical in developing the neural network-based prediction models. However, using the available 3D FEM-based computer simulation techniques causes high computation costs in developing the database. This study introduces the framework of developing the artificial neural network (ANN) model to predict the seismic performance of building at given Poisson's ratio and shear wave velocity of soil. The simple Single-Degree-Of-Freedom system was used to develop the database and the performance of the developed neural network model is discussed through the evaluated coefficient of determination (R2). In addition, ANN models were developed for 90~100% percentile of the database to assess the accuracy of the developed ANN models in each percentile.

Finding Isolated Zones through Connectivity Relationship Analysis in Indoor Space (실내공간의 연결성 분석을 통한 고립지역 탐색)

  • Lee, Seul-Ji;Lee, Ji-Yeong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.30 no.3
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    • pp.229-240
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    • 2012
  • In Korea, u-City has been constructed as IT-based new city with introduction of the ubiquitous concept. However, most currently provided u-services are just monitoring services based on the USN(Ubiquitous Sensor Network) technology, so spatial analysis is insufficient. Especially, buildings have been rapidly constructed and expanded in multi-levels, and people spend a lot of time in indoor space, so indoor spatial analysis is necessary. Therefore, connectivity relationship in indoor space is analyzed using the topological data model. Topological relationships could be redefined due to the dynamic changes of environment in indoor space, and changes could have an effect on analysis results. In this paper, the algorithms of finding isolated zones is developed by analyzing connectivity relationship between space objects in built-environments after changes of environment in indoor space due to specific situation such as fire. And the system that visualizes isolated zones as well as three-dimensional data structure of indoor space is developed to get the analysis result by using the analysis algorithms.