• Title/Summary/Keyword: 3D 모델링 자동화

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Automation of Building Extraction and Modeling Using Airborne LiDAR Data (항공 라이다 데이터를 이용한 건물 모델링의 자동화)

  • Lim, Sae-Bom;Kim, Jung-Hyun;Lee, Dong-Cheon
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.27 no.5
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    • pp.619-628
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    • 2009
  • LiDAR has capability of rapid data acquisition and provides useful information for reconstructing surface of the Earth. However, Extracting information from LiDAR data is not easy task because LiDAR data consist of irregularly distributed point clouds of 3D coordinates and lack of semantic and visual information. This thesis proposed methods for automatic extraction of buildings and 3D detail modeling using airborne LiDAR data. As for preprocessing, noise and unnecessary data were removed by iterative surface fitting and then classification of ground and non-ground data was performed by analyzing histogram. Footprints of the buildings were extracted by tracing points on the building boundaries. The refined footprints were obtained by regularization based on the building hypothesis. The accuracy of building footprints were evaluated by comparing with 1:1,000 digital vector maps. The horizontal RMSE was 0.56m for test areas. Finally, a method of 3D modeling of roof superstructure was developed. Statistical and geometric information of the LiDAR data on building roof were analyzed to segment data and to determine roof shape. The superstructures on the roof were modeled by 3D analytical functions that were derived by least square method. The accuracy of the 3D modeling was estimated using simulation data. The RMSEs were 0.91m, 1.43m, 1.85m and 1.97m for flat, sloped, arch and dome shapes, respectively. The methods developed in study show that the automation of 3D building modeling process was effectively performed.

Application of Computer Aided Blank Design System for Motor Frame Die, Automobile (자동차 모터 프레임 금형에서 블랭크 설계 자동화 시스템의 적용)

  • 박동환;박상봉;강성수
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2000.05a
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    • pp.753-756
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    • 2000
  • The accumulated know-how and trial-and-error procedures are known as the best ways to determine blank shape and dimensions. One of the most important steps to determine the blank shape and dimensions in deep drawing process is to calculate the surface area of the product. In general, the surface area of products is calculated by mathematical or 3-D modeling methods. A blank design system is constructed for elliptical deep drawing products to recognize the geometry of the product in the long side and short side by drafting in another two layers on AutoCAD software. This system consists of input geometry recognition module, 3-D modeling module and blank design module, respectively. Blank dimension of three types is determined by the same area, which was acquired in 3-D modeling module. The suitability of this system is verified by applying to a real deep drawing product.

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A Study on the Automated Estimating System using BIM based Library (BIM 기반 토목 라이브러리를 통한 견적자동화시스템에 관한 연구)

  • Han, Jung-Hoon;Nam, Sang-Hyeok
    • Journal of KIBIM
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    • v.1 no.2
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    • pp.12-18
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    • 2011
  • The BIM techniques which manages information over the life cycle of construction project based on the 3-dimensional model are developing in the direction of integrated construction management including planning, design, analysis, estimation, 3D simulation and so on. The estimation model based on the BIM has different detail level and model information. In this study, the LOD of estimation model is catched for the bridge structures. The library classes are defined with construction information classification system, and the quantities of resources are calculated by class parameter using Microstation API. Finally, the automated estimation system using BIM based library is verified by the integrated model for adjustments of level of detail.

A Study on the Selection of key Enabling Technologies for Automation of Real-time Ground Shape Recognition and Soil Volume Estimation (실시간 지반형상 인식 및 토공량 자동 산출을 위한 요소기술 선정방안에 관한 연구)

  • Yu, Byung-In;Ahn, Ji-Sung;Oh, Se-Wook;Han, Seung-Woo;Kim, Young-Suk
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2007.11a
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    • pp.347-352
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    • 2007
  • Recently, automated construction machines have been developed for technically solving construction industry problems such as labor, productivity, quality and the profit decrease. In domestic construction industry, a research for developing an intelligent excavation robot has been performed. The primary objective of this research is to analysis state-of-the art technologies in order to recognize local ground shape in real-time and compute soil volume of earth moving. This research analyzed five elemental technologies for 3D modeling of local ground shape and selected an optimal technology among the five technologies through using AHP method. It is anticipated that the optimal technology selected for 3D modeling of local ground shape can be effectively used to develop the intelligent excavation robot.

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Developing Object Library Browser for Reclamation Based BIM (BIM 기반의 준설매립전용 Library Browser 개발)

  • Lee, Dongyun;Lee, Junho;Lee, Sangwoong;Choi, Chaseok;Gu, Bonhyo
    • Journal of the Korean GEO-environmental Society
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    • v.15 no.3
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    • pp.57-63
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    • 2014
  • This study has been conducted to building a library intended for structures considered in the design of reclamation for design automation and developing browser for integrated management system. The library has been developed using a parametric modeling method capable of changing section shape, also classifying standard crossing and family library, has been developed according to the working environment. Classified library by the characteristics manages objects and working modeling on based BIM has been developed browser using the C# program for objects to use conveniently. By interworking between developed Browser and 3D Autocad based BIM, it is possible to use easily at design drafting, calculating quantities, developing a new library, and managing a library. The browser using effectively exclusive library to reclamation is developed in this study.

Curved Feature Modeling and Accuracy Analysis Using Point Cloud Data (점군집 데이터를 이용한 곡면객체 모델링 및 정확도 분석)

  • Lee, Dae Geon;Yoo, Eun Jin;Lee, Dong-Cheon
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.34 no.3
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    • pp.243-251
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    • 2016
  • LiDAR data processing steps include noise removal, filtering, classification, segmentation, shape recognition, modeling, and quality assessment. This paper focuses on modeling and accuracy evaluation of 3D objects with curved surfaces. The appropriate modeling functions were determined by analyzing surface patch shape. Existing methods for modeling curved surface features require linearization, initial approximation, and iteration of the non-linear functions. However, proposed method could directly estimate the unknown parameters of the modeling functions. The results demonstrate feasibility of the proposed method. The proposed method was applied to the simulated and real building data of hemi-spherical and semi-cylindrical surfaces. The parameters and accuracy of the modeling functions were estimated. It is expected that the proposed method would contribute to automatic modeling of various objects.

The Design of Digital Human Content Creation System (디지털 휴먼 컨텐츠 생성 시스템의 설계)

  • Lee, Sang-Yoon;Lee, Dae-Sik;You, Young-Mo;Lee, Kye-Hun;You, Hyeon-Soo
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.15 no.4
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    • pp.271-282
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    • 2022
  • In this paper, we propose a digital human content creation system. The digital human content creation system works with 3D AI modeling through whole-body scanning, and is produced with 3D modeling post-processing, texturing, rigging. By combining this with virtual reality(VR) content information, natural motion of the virtual model can be achieved in virtual reality, and digital human content can be efficiently created in one system. Therefore, there is an effect of enabling the creation of virtual reality-based digital human content that minimizes resources. In addition, it is intended to provide an automated pre-processing process that does not require a pre-processing process for 3D modeling and texturing by humans, and to provide a technology for efficiently managing various digital human contents. In particular, since the pre-processing process such as 3D modeling and texturing to construct a virtual model are automatically performed by artificial intelligence, so it has the advantage that rapid and efficient virtual model configuration can be achieved. In addition, it has the advantage of being able to easily organize and manage digital human contents through signature motion.

Study on the Design of Bracket Strip Layout Using Cimatron Die Design (씨마트론 다이 디자인을 활용한 브라켓의 스트립 레이아웃설계에 관한 연구)

  • Choi, Kye-Kwang;Lee, Dong-Cheon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.9 no.5
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    • pp.1113-1118
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    • 2008
  • Strip layout design in progressive die is an important factor that determines the applicability of mass production. In this study, the layout design of bracket strips used fer automobiles was executed. The strip layout design was made in 3D with the use of Cimatron die design, an automation module rather than a 3D modeling module. Blank layout has been optimized through a layer arrangement of the wide run positioning inside carrier (double-row and two-pass type). The 3D CAD/CAM software used was Cimatron Die Design; the strip layout design was completed in ten processes.

A Study on the Automatic Detection of Railroad Power Lines Using LiDAR Data and RANSAC Algorithm (LiDAR 데이터와 RANSAC 알고리즘을 이용한 철도 전력선 자동탐지에 관한 연구)

  • Jeon, Wang Gyu;Choi, Byoung Gil
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.31 no.4
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    • pp.331-339
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    • 2013
  • LiDAR has been one of the widely used and important technologies for 3D modeling of ground surface and objects because of its ability to provide dense and accurate range measurement. The objective of this research is to develop a method for automatic detection and modeling of railroad power lines using high density LiDAR data and RANSAC algorithms. For detecting railroad power lines, multi-echoes properties of laser data and shape knowledge of railroad power lines were employed. Cuboid analysis for detecting seed line segments, tracking lines, connecting and labeling are the main processes. For modeling railroad power lines, iterative RANSAC and least square adjustment were carried out to estimate the lines parameters. The validation of the result is very challenging due to the difficulties in determining the actual references on the ground surface. Standard deviations of 8cm and 5cm for x-y and z coordinates, respectively are satisfactory outcomes. In case of completeness, the result of visual inspection shows that all the lines are detected and modeled well as compare with the original point clouds. The overall processes are fully automated and the methods manage any state of railroad wires efficiently.

An Automatic Data Generation Procedure for Finite Element Structural Analysis of Cargo Holds of a Ship (선체중앙부 유한요소 구조해석을 위한 입력자동화)

  • S.W. Park;J.G. Shin
    • Journal of the Society of Naval Architects of Korea
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    • v.31 no.4
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    • pp.99-108
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    • 1994
  • As a consequent result of our previous paper, "Development of Automatic Data Generation Program for Finite Element Structural Analysis of Oil Tankers"[1], the objective of this paper is to develop an automatic modeling program for the three-dimensional finite element structural analysis of hull modules of general commercial ships, especially oil tankers, bulk carriers, and container ships. Based on the proposed algorithm in [1], the followings are newly added: general applicability for three ship types, automatic mesh division interface with MSC/NASTRAN, direct wave load calculation interface, and Graphic User Interface technology in the process of input data preparation. The usefulness of this procedure is verified by calculation examples. examples.

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