• Title/Summary/Keyword: 지상3차원레이저스캐너

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Extracting Three-Dimensional Geometric Information of Roads from Integrated Multi-sensor Data using Ground Vehicle Borne System (지상 이동체 기반의 다중 센서 통합 데이터를 활용한 도로의 3차원 기하정보 추출에 관한 연구)

  • Kim, Moon-Gie;Sung, Jung-Gon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.11 no.3
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    • pp.68-79
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    • 2008
  • Ground vehicle borne system which is named RoSSAV(Road Safety Survey and Analysis Vehicle) developed in KICT(Korea Institute of Construction Technology) can collect road geometric data. This system therefore is able to evaluate the road safety and analyze road deficient sections using data collected along the roads. The purpose of this study is to extract road geometric data for 3D road modeling in dangerous road section and The system should be able to quickly provide more accurate data. Various sensors(circular laser scanner, GPS, INS, CCD camera and DMI) are installed in moving object and collect road environment data. Finally, We extract 3d road geometry(center, boundary), road facility and slope using integrated multi-sensor data.

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Trends and Applications on Lidar Sensor Technology (라이다 센서 기술 동향 및 응용)

  • Kim, J.;Kwon, K.K.;Lee, S.I.
    • Electronics and Telecommunications Trends
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    • v.27 no.6
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    • pp.134-143
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    • 2012
  • 지구과학 및 우주 탐사를 목적으로 지속적으로 발전해 온 라이다 센서 기술은 현재 항공기 및 위성에 탑재되어 정밀한 지구 지형 및 환경 관측을 위한 주요 수단으로 사용되고 있으며, 우주 정거장과 우주선의 도킹 시스템, 우주 탐사 로봇에 활용되고 있다. 지상에서는 원거리 거리 측정, 자동차 속도 위반 단속 등을 위한 간단한 형태의 라이다 센서를 비롯하여 최근에는 3차원 영상 복원을 위한 레이저 스캐너, 미래 무인자동차를 위한 3차원 영상 센서의 핵심 기술로 활용되면서 그 활용성과 중요성이 점차 증가되고 있다. 본고에서는 라이다 센서의 기본 원리 및 종류, 최근 영상 라이다 센서 기술동향, 응용 분야의 몇 가지 예를 요약하여 소개함으로써, 국내 기반 기술 및 상용화 개발이 취약한 라이다 센서에 대한 이해를 돕고자 한다.

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A Study for the Border line Extraction technique of City Spatial Building by LiDAR Data (LiDAR 데이터와 항공사진의 통합을 위한 사각 빌딩의 경계점 설정)

  • Yeon, Sang-Ho;Lee, Young-Wook
    • Proceedings of the Korea Contents Association Conference
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    • 2007.11a
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    • pp.27-29
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    • 2007
  • The visual implementation of 3-dimensional national environment is focused by the requirement and importance in the fields such as, national development plan, telecommunication facility deployment plan, railway construction, construction engineering, spatial city development, safety and disaster prevention engineering. The currently used DEM system using contour lines, which embodies national geographic information based on the 2-D digital maps and facility information has limitation in implementation in reproducing the 3-D spatial city. Moreover, this method often neglects the altitude of the rail way infrastructure which has narrow width and long length. There it is needed to apply laser measurement technique in the spatial target object to obtain accuracy. Currently, the LiDAR data which combines the laser measurement skill and GPS has been introduced to obtain high resolution accuracy in the altitude measurement. In this paper, we first investigate the LiDAR based researches in advanced foreign countries, then we propose data a generation scheme and an algorithm for the optimal manage and synthesis of railway facility system in our 3-D spatial terrain information. For this object, LiDAR based height data transformed to DEM, and the realtime unification of the vector via digital image mapping and raster via exactness evaluation is transformed to make it possible to trace the model of generated 3-dimensional railway model with long distance for 3D tract model generation.

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Improving Performance of File-referring Octree Based on Point Reallocation of Point Cloud File (포인트 클라우드 파일의 측점 재배치를 통한 파일 참조 옥트리의 성능 향상)

  • Han, Soohee
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.33 no.5
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    • pp.437-442
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    • 2015
  • Recently, the size of point cloud is increasing rapidly with the high advancement of 3D terrestrial laser scanners. The study aimed for improving a file-referring octree, introduced in the preceding study, which had been intended to generate an octree and to query points from a large point cloud, gathered by 3D terrestrial laser scanners. To the end, every leaf node of the octree was designed to store only one file-pointer of its first point. Also, the point cloud file was re-constructed to store points sequentially, which belongs to a same leaf node. An octree was generated from a point cloud, composed of about 300 million points, while time was measured during querying proximate points within a given distance with series of points. Consequently, the present method performed better than the preceding one from every aspect of generating, storing and restoring octree, so as querying points and memorizing usage. In fact, the query speed increased by 2 times, and the memory efficiency by 4 times. Therefore, this method has explicitly improved from the preceding one. It also can be concluded in that an octree can be generated, as points can be queried from a huge point cloud, of which larger than the main memory.

Development of Cross Section Management System in Tunnel using Terrestrial Laser Scanning Data (지상 레이저 스캐닝 자료를 이용한 터널단면관리시스템 개발)

  • Roh, Tae-Ho;Kim, Jin-Soo;Lee, Young-Do
    • Journal of the Korean Association of Geographic Information Studies
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    • v.11 no.1
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    • pp.90-104
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    • 2008
  • Laser scanning technology with high positional accuracy and high density will be widely applied to vast range of fields including geomatics. Especially, the development of laser scanning technology enabling long range information extraction is increasing its full use in civil engineering. This study taps into the strengths of a terrestrial laser scanning technique to develop a tunnel cross section management system that can be practically employed for determining the cross section of tunnels more promptly and accurately. Three dimensional data with high density were obtained in a prompt and accurate manner using a terrestrial laser scanner. Data processing was then conducted to promptly determine arbitrary cross sections at 0.1meter, 0.5meter and 1.0meter intervals. A laser scanning technique was also used to quickly and accurately calculate the overbreak and underbreak of both each cross section and the entire tunnel section. As the developed system utilizes vast amounts of data, it was possible to promptly determine the shape of arbitrary cross section and to calculate the overbreak and underbreak more accurately with higher area precision. It is expected, therefore, that the system will not only enable more efficient and cost effective tunnel drilling management and monitoring but also will provide a basis for future construction and management of tunnel cross section.

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Estimation of Single Vegetation Volume Using 3D Point Cloud-based Alpha Shape and Voxel (3차원 포인트 클라우드 기반 Alpha Shape와 Voxel을 활용한 단일 식생 부피 산정)

  • Jang, Eun-kyung;Ahn, Myeonghui
    • Ecology and Resilient Infrastructure
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    • v.8 no.4
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    • pp.204-211
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    • 2021
  • In this study, information on vegetation was collected using a point cloud through a 3-D Terrestrial Lidar Scanner, and the physical shape was analyzed by reconfiguring the object based on the refined data. Each filtering step of the raw data was optimized, and the reference volume and the estimated results using the Alpha Shape and Voxel techniques were compared. As a result of the analysis, when the volume was calculated by applying the Alpha Shape, it was overestimated than reference volume regardless of data filtering. In addition, the Voxel method to be the most similar to the reference volume after the 8th filtering, and as the filtering proceeded, it was underestimated. Therefore, when re-implementing an object using a point cloud, internal voids due to the complex shape of the target object must be considered, and it is necessary to pay attention to the filtering process for optimal data analyzed in the filtering process.

The Precise Three Dimensional Phenomenon Modeling of the Cultural Heritage based on UAS Imagery (UAS 영상기반 문화유산물의 정밀 3차원 현상 모델링)

  • Lee, Yong-Chang;Kang, Joon-Oh
    • Journal of Cadastre & Land InformatiX
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    • v.49 no.1
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    • pp.85-101
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    • 2019
  • Recently, thank to the popularization of light-weight drone through the significant developments in computer technologies as well as the advanced automated procedures in photogrammetry, Unmanned Aircraft Systems have led to a growing interest in industry as a whole. Documentation, maintenance, and restoration projects of large scaled cultural property would required accurate 3D phenomenon modeling and efficient visual inspection methods. The object of this study verify on the accuracies achieved of 3D phenomenon reconstruction as well as on the validity of the preservation, maintenance and restoration of large scaled cultural property by UAS photogrammetry. The test object is cltural heritage(treasure 1324) that is the rock-carved standing Bodhisattva in Soraesan Mountain, Siheung, documented in Goryeo Period(918-1392). This standing Bodhisattva has of particular interests since it's size is largest stone Buddha carved in a rock wall and is wearing a lotus shaped crown that is decorated with arabesque patterns. The positioning accuracy of UAS photogrammetry were compared with non-target total station survey results on the check points after creating 3D phenomenal models in real world coordinates system from photos, and also the quantified informations documented by Culture Heritage Administration were compared with UAS on the bodhisattva image of thin lines. Especially, tests the validity of UAS photogrammetry as a alternative method of visual inspection methods. In particular, we examined the effectiveness of the two techniques as well as the relative fluctuation of rock surface for about 2 years through superposition analysis of 3D points cloud models produced by both UAS image analysis and ground laser scanning techniques. Comparison studies and experimental results prove the accuracy and efficient of UAS photogrammetry in 3D phenomenon modeling, maintenance and restoration for various large-sized Cultural Heritage.

Multi-core-based Parallel Query of 3D Point Cloud Indexed in Octree (옥트리로 색인한 3차원 포인트 클라우드의 다중코어 기반 병렬 탐색)

  • Han, Soohee
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.31 no.4
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    • pp.301-310
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    • 2013
  • The aim of the present study is to enhance query speed of large 3D point cloud indexed in octree by parallel query using multi-cores. Especially, it is focused on developing methods of accessing multiple leaf nodes in octree concurrently to query points residing within a radius from a given coordinates. To the end, two parallel query methods are suggested using different strategies to distribute query overheads to each core: one using automatic division of 'for routines' in codes controlled by OpenMP and the other considering spatial division. Approximately 18 million 3D points gathered by a terrestrial laser scanner are indexed in octree and tested in a system with a 8-core CPU to evaluate the performances of a non-parallel and the two parallel methods. In results, the performances of the two parallel methods exceeded non-parallel one by several times and the two parallel rivals showed competing aspects confronting various query radii. Parallel query is expected to be accelerated by anticipated improvements of distribution strategies of query overhead to each core.

Analysis of the Accuracy of the UAV Photogrammetric Method using Digital Camera (디지털 카메라를 이용한 무인항공 사진측량의 정확도 분석)

  • Jung, Sung-Heuk;Lim, Hyeong-Min;Lee, Jae-Kee
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.27 no.6
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    • pp.741-747
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    • 2009
  • For construction of 3D virtual city models, airborne digital cameras, laser scanners, multi-oblique photograph systems and other devices are currently being used. With such advanced techniques, precise 3D spatial information can be collected and high quality 3D city models can be built in a considerably large area. The 3D spatial information to be built has to provide the latest information that quickly reflects the causes of any change due to urban development. In this study, a UAV photogrammetric method using low cost UAV and digital camera was proposed to acquire and update 3D spatial information effectively on small areas where information continuously change. In the proposed UAV photogrammetric method, the elements of interior orientation were acquired through camera calibration and the vertical and oblique photographs were taken at 9 points and the 3D drawing of ground control points and buildings was performed using 20 images among the pictured images. This study also analyzed the accuracy of the proposed method comparing with ground survey data and digital map in order to examine whether the method can be used in on-demand 3D spatial information update on relatively small areas.

Automatic Extraction of River Levee Slope Using MMS Point Cloud Data (MMS 포인트 클라우드를 활용한 하천제방 경사도 자동 추출에 관한 연구)

  • Kim, Cheolhwan;Lee, Jisang;Choi, Wonjun;Kim, Wondae;Sohn, Hong-Gyoo
    • Korean Journal of Remote Sensing
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    • v.37 no.5_3
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    • pp.1425-1434
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    • 2021
  • Continuous and periodic data acquisition must be preceded to maintain and manage the river facilities effectively. Adapting the existing general facilities methods, which include river surveying methods such as terrestrial laser scanners, total stations, and Global Navigation Satellite System (GNSS), has limitation in terms of its costs, manpower, and times to acquire spatial information since the river facilities are distributed across the wide and long area. On the other hand, the Mobile Mapping System (MMS) has comparative advantage in acquiring the data of river facilities since it constructs three-dimensional spatial information while moving. By using the MMS, 184,646,009 points could be attained for Anyang stream with a length of 4 kilometers only in 20 minutes. Levee points were divided at intervals of 10 meters so that about 378 levee cross sections were generated. In addition, the waterside maximum and average slope could be automatically calculated by separating slope plane form levee point cloud, and the accuracy of RMSE was confirmed by comparing with manually calculated slope. The reference slope was calculated manually by plotting point cloud of levee slope plane and selecting two points that use location information when calculating the slope. Also, as a result of comparing the water side slope with slope standard in basic river plan for Anyang stream, it is confirmed that inspecting the river facilities with the MMS point cloud is highly recommended than the existing river survey.