• Title/Summary/Keyword: 3-D Digital Map

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A Technique for Building Occupancy Maps Using Stereo Depth Information and Its Application (스테레오 깊이 정보를 이용한 점유맵 구축 기법과 응용)

  • Kim, Nak-Hyun;Oh, Se-Jun
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.45 no.3
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    • pp.1-10
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    • 2008
  • An occupancy map is a representation methodology describing the region occupied by objects in 3D space, which can be utilized for autonomous navigation and object recognition. In this paper, we describe a technique for building an occupancy map using depth data extracted from stereo images. In addition, some techniques are proposed for utilizing the occupancy map for the segmentation of object regions. After the geometric information on the ground plane is extracted from a disparity image, the occupancy map is constructed by projecting each matched point to the ground plane-based 3D space. We explain techniques for extracting moving object regions using the occupancy map and present experimental results using real stereo images.

3-D Positioning and DEM Generation from the IKONOS Stereo Images (IKONOS 입체영상을 이용한 3차원 위치 결정과 DEM 생성)

  • 지학송;안기원;박병욱;이건기;서두천
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2003.10a
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    • pp.423-431
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    • 2003
  • This study presents on generation coefficients of the RFM using GEO-level stereo images of the IKONOS satellite. 3-D positioning and DEM generation of this model on the test field. In result, the maximum error of image coordinates acquired by the upward transform of the RFM did nat exceed 8 pixels. DEM was generated with kriging interpolation extracted three dimensional ground coordinate to rational quadratic function form, me compared it to reference digital elevation model made from 1:5,000 digital map and 1:1,000 digital map, and so, could generate digital elevation model in the accuracy as average RMSE of elevation was ${\pm}$ 3∼5 m in RFM.

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3-D Modelling of Facility Using Digital Map and Aerial Photos (수치지도와 항공사진을 이용한 시설물 3차원 모델링)

  • 손홍규;최종현;김의명
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2003.10a
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    • pp.303-308
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    • 2003
  • Facility management system has been studied recently due to its increasing demand. As a starting step it is necessary to create 3-D shape of the facility. In this study, we attempted to create 3-D shape of the buildings by fusing the raster and vector information. the raster information comes from stereo aerial photographs and the vector information comes from the existing 2-D digital map. GPS surveying and data conversion using ACAD and ARCINFO also performed to extract building height from stereo aerial photographs. Finally we could be able to perform semi-automatic 3-D building modeling with fusion of two sources of information.

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AUTOMATIC IDENTIFICATION OF ROOF TYPES AND ROOF MODELING USING LIDAR

  • Kim, Heung-Sik;Chang, Hwi-Jeong;Cho, Woo-Sug
    • Proceedings of the KSRS Conference
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    • 2005.10a
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    • pp.83-86
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    • 2005
  • This paper presents a method for point-based 3D building reconstruction using LiDAR data and digital map. The proposed method consists of three processes: extraction of building roof points, identification of roof types, and 3D building reconstruction. After extracting points inside the polygon of building, the ground surface, wall and tree points among the extracted points are removed through the filtering process. The filtered points are then fitted into the flat plane using ODR(Orthogonal Distance Regression). If the fitting error is within the predefined threshold, the surface is classified as a flat roof. Otherwise, the surface is fitted and classified into a gable or arch roof through RMSE analysis. Based on the roof types identified in automated fashion, the 3D building reconstruction is performed. Experimental results showed that the proposed method classified successfully three different types of roof and that the fusion of LiDAR data and digital map could be a feasible method of modelling 3D building reconstruction.

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Automation technology for analyzing 3D point cloud data of construction sites

  • Park, Suyeul;Kim, Younggun;Choi, Yungjun;Kim, Seok
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.1100-1105
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    • 2022
  • Denoising, registering, and detecting changes of 3D digital map are generally conducted by skilled technicians, which leads to inefficiency and the intervention of individual judgment. The manual post-processing for analyzing 3D point cloud data of construction sites requires a long time and sufficient resources. This study develops automation technology for analyzing 3D point cloud data for construction sites. Scanned data are automatically denoised, and the denoised data are stored in a specific storage. The stored data set is automatically registrated when the data set to be registrated is prepared. In addition, regions with non-homogeneous densities will be converted into homogeneous data. The change detection function is developed to automatically analyze the degree of terrain change occurred between time series data.

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A Study on the Photo-realistic 3D City Modeling Using the Omnidirectional Image and Digital Maps (전 방향 이미지와 디지털 맵을 활용한 3차원 실사 도시모델 생성 기법 연구)

  • Kim, Hyungki;Kang, Yuna;Han, Soonhung
    • Korean Journal of Computational Design and Engineering
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    • v.19 no.3
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    • pp.253-262
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    • 2014
  • 3D city model, which consisted of the 3D building models and their geospatial position and orientation, is becoming a valuable resource in virtual reality, navigation systems, civil engineering, etc. The purpose of this research is to propose the new framework to generate the 3D city model that satisfies visual and physical requirements in ground oriented simulation system. At the same time, the framework should meet the demand of the automatic creation and cost-effectiveness, which facilitates the usability of the proposed approach. To do that, I suggest the framework that leverages the mobile mapping system which automatically gathers high resolution images and supplement sensor information like position and direction of the image. And to resolve the problem from the sensor noise and a large number of the occlusions, the fusion of digital map data will be used. This paper describes the overall framework with major process and the recommended or demanded techniques for each processing step.

The Implementation of 3D Measurement System by Image Pointing Method (영상선점 기법에 의한 3차원 측위 시스템 구현)

  • 송승호;김용배;주영은;엄대용
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.20 no.2
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    • pp.191-197
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    • 2002
  • Recently, with the eye-opening progress in the related field of computer, the development of high resolution digital camera enables more precise positioning in digital photogrammetry, and a lot of interest has been concentrated on its application. In this study, the algorithm and system which enable the measurement of 3D point more easily was developed by image pointing method using digital image, when the digital map of the Cultural Properties of Architectures in Modern Ages is drawn by photogrammetry. As a result, we can reduce the limitation of surveying control point, exposure condition, and construct the digital map and 3D model of architecture more efficiently.

Automatic Extraction of Building Height Using Aerial Imagery and 2D Digital Map (항공사진과 2차원 수치지형도를 이용한 건물 고도의 자동 추출)

  • Jin, Kyeong-Hyeok;Hong, Jae-Min;Yoo, Hwan-Hee;Yeu, Bock-Mo
    • Journal of Korean Society for Geospatial Information Science
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    • v.13 no.2 s.32
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    • pp.65-69
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    • 2005
  • Efficient 3D generation of cultural features, such as buildings in urban area is becoming increasingly important for a number of GIS applications. For reconstruction or 3D building in urban area aerial images, satellite images, LIDAR data have been used mainly. In case of automatically extracting and reconstructing of building height using single aerial images or single satellite images, there are a lot of problems, such as mismatching that result from a geometric distortion of optical images. Therefore, researches or integrating optical images and existing 2D GIS data(e.g. digital map) has been in progress. In this paper, we focused on extracting of building height by means or interest points and vortical line locus for reducing matching points. Also we used digital plotter in order to validate for the results in this study using aerial images(1/5,000) and existing digital map(1/1,000).

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Utilizing Digital Close-Range Images for Road Slope Monitoring (도로사면의 모니터링을 위한 근거리 디지털 영상의 활용)

  • 이진덕;연상호;이호찬
    • Proceedings of the Korea Contents Association Conference
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    • 2004.05a
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    • pp.151-160
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    • 2004
  • This research addresses the experimental application of the digital close-range photogrammetric technique for 3D deformation measurement and visualization of road slope. The 3D displacements were extracted by the photo-triangulation based on the bundle adjustment method using the digital imagery. In addition, we produced the digital elevation models, the digital orthorectified images and the 3D perspective view images of the slope employing a digital photogrammetric workstation. Also the inclination map of the slope was generated as the data for monitoring and managing dangerous slopes.

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Comparative Analysis of Terrain Slope Using Digital Map, LiDAR Data (수치지형도와 LiDAR 데이터를 이용한 지형경사도 비교분석)

  • Kang, Joon-Mook;Yoon, Hee-Cheon;Min, Kwan-Sik;Rhee, Won-Yong
    • Journal of Korean Society for Geospatial Information Science
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    • v.15 no.4
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    • pp.3-9
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    • 2007
  • Recently, the efforts of systematic understanding and utilization of geographic phenomenon for human life as a important factor among activity of mankind are increasing. It is necessary to express topography connected with space. Especially, the technology of geographic analysis using DEM can supply the information rapidly and accurately about elevation and terrain slope of the subject area under the necessity of high 3D quality geographic information. In this study, creating more precise DEM derived from LiDAR data, quantitative analysis on the subject area about elevation and terrain slope is done under comparison with Digital Topographic map Scale 1:1000. LiDAR data is more detailed than Digital Topographic map to express the elevation of the subject area ($39.89{\sim}77.48m$), and terrain slope by analysis using DEM derived from LiDAR data come out minutely about 90%. It can be concluded that the LiDAR data is very applicable and accurate for 3D topographic terrain slope analysis.

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