• Title/Summary/Keyword: 3D positioning accuracy

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Orbit Prediction using Broadcast Ephemeris for GLONASS Satellite Visibility Analysis (GLONASS 위성 가시성 분석을 위한 방송궤도력 기반 궤도 예측)

  • Kim, Hye-In;Park, Kwan-Dong
    • Journal of Astronomy and Space Sciences
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    • v.26 no.2
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    • pp.199-210
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    • 2009
  • Even though there are several Global Navigation Satellite Systems under development, only GPS and GLONASS are currently available for satellite positioning. In this study, GLONASS orbits were predicted from broadcast ephemeris using the 4th-order Runge-Kutta numerical integration. For accuracy validation, predicted orbits were compared with precise ephemeris. The RMS(Root Mean Square) and maximum 3-D errors were 14.3 km and 17.4 km for one-day predictions. In case of 7-day predictions, the RMS and maximum 3-D errors were 15.7 and 40.1 km, respectively. Also, the GLONASS satellite visibility predictions were compared with real observations, and they agree perfectly except for several epochs when the satellite signal was blocked by nearby buildings.

3-D vision sensor system for arc welding robot with coordinated motion by transputer system

  • Ishida, Hirofumi;Kasagami, Fumio;Ishimatsu, Takakazu
    • 제어로봇시스템학회:학술대회논문집
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    • 1993.10b
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    • pp.446-450
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    • 1993
  • In this paper we propose an arc welding robot system, where two robots works coordinately and employ the vision sensor. In this system one robot arm holds a welding target as a positioning device, and the other robot moves the welding torch. The vision sensor consists of two laser slit-ray projectors and one CCD TV camera, and is mounted on the top of one robot. The vision sensor detects the 3-dimensional shape of the groove on the target work which needs to be weld. And two robots are moved coordinately to trace the grooves with accuracy. In order to realize fast image processing, totally five sets of high-speed parallel processing units (Transputer) are employed. The teaching tasks of the coordinated motions are simplified considerably due to this vision sensor. Experimental results reveal the applicability of our system.

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The 3D Modelling of Cultural Heritage Using Digital Photogrammetry (수치사진측량기법을 이용한 문화재의 3차원 모델링에 관한 연구)

  • 김진수;박운용;홍순헌
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.21 no.4
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    • pp.365-371
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    • 2003
  • Digital high resolution cameras are widely available, and are increasingly use in digital close-range photogrammetry. And photogrammetry instruments are developing rapidly and the precision is improving continuously. The building of 3D terrains of high precision are possible and the calculation of the areas or the earthwork volumes have high precision due to the development of the techlique of the spatial information system using computer. Using the digital camera which has capacity of keeping numerical value by itself and easy carrying, we analyze the positioning error according to various change of photographing condition. Also we try to find a effective method of acquiring basis data for 3D monitoring of high-accuracy in pixel degree through digital close-range photogrammetry with bundle adjustment for local terrain model generation and 3D embodiment of tumulus. In the study is about to efficient analysis of digital information data fer conservation of cultural properties.

An Analysis on the Real-Time Performance of the IGS RTS and Ultra-Rapid Products (IGS RTS와 Ultra Rapid 실시간 성능 분석)

  • Kim, Mingyu;Kim, Jeongrae
    • Journal of Advanced Navigation Technology
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    • v.19 no.3
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    • pp.199-206
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    • 2015
  • For real-time precise positioning, IGS provides ephemeris predictions (IGS ultra-rapid, IGU) and real-time ephemeris estimates (real-time service, RTS). Due to the RTS data latency, which ranges from 5 s to 30 s, a short-term prediction process is necessary before applying the RTS corrections. In this paper, the real-time performance of the RTS correction and IGU prediction are compared. The RTS correction availability for the GPS satellites observed in Korea is computed as 99.3%. The RTS correction is applied to broadcast ephemeris to verify the accuracy of the RTS correction. The 3D orbit RMS error of the RTS correction is 0.043 m. Prediction of the RTS correction is modeled as a polynomial, and then the predicted value is compared with the IGU prediction value. The RTS orbit prediction accuracy is nearly equivalent to the IGU prediction, but RTS clock prediction performance is 0.13 m better than the IGU prediction.

A Study on the Practical Application of Image Control Point Using Stereo Image Chip (입체 영상칩을 이용한 영상기준점 활용방안에 관한 연구)

  • Kim, Hoon-Jung;Kim, Kam-Lae;Cheong, Hae-Jin;Cho, Won-Woo
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.26 no.4
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    • pp.423-431
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    • 2008
  • The control surveying which aims at identifying the coordinate system of satellite images with that of ground is a repeatedly performed essential process to produce digital ortho - photos and it acts as the main factor to increase the production cost of the photos by duplicated budgets and redundant works when executing the projects for acquiring basic geographical information from high density satellite images. During the experimentation, an application system was established for producing a stereo image chip by the analysis of DPPDB file structure, the stereo image chip was produced with SPOT and IKONOS images, the analysis of 3D modeling accuracy was performed to secure the required accuracy and to present the optimal number and deployment of the control points, and a 3D modeling was performed for new SPOT images and lastly, 3D ground coordinates were extracted by the observation of the same points through the overlapping with the new images. As the results of the research, it is proved that the stereo image chip can be used as the ground controls through the accuracy analysis between the coordinates of the images and the ground, close results were obtained between the coordinates by the ground survey and those by the 3D modeling using new images and the observation of the same points, positional changes were not found during observing the same points, and the research presented the methodology for improving the process of the control survey by showing the availability of the image controls on the stereo image chip instead of the ground controls.

FKP and VRS among Network RTK GNSS methods Accuracy Evaluation of Observation Methods (Network RTK GNSS방법 중 FKP와 VRS 관측 방법의 정확도 평가)

  • Jae-Woo, KIM;Do-Yeoul, MUN;Yeong-Jong, KIM
    • Journal of the Korean Association of Geographic Information Studies
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    • v.25 no.4
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    • pp.200-209
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    • 2022
  • Providing real-time location information is emerging as a major goal of the national industry. In order to provide such real-time location information (3D spatial information), it is essential to develop a technology for a satellite positioning method. Therefore, the country continues to make efforts to increase satisfaction with the needs of consumers by introducing the Network RTK GNSS method. In this study, among the Network RKT GNSS(Global Navigation Satellite System) methods provided by the National Geographic Information Service, continuous observation and single observation were measured at the integrated reference point using VRS(Virtual Reference Station) and FKP(Flӓachen-Korrektur Parameter) to evaluate accuracy. In addition, we aim to maximize efficiency by presenting accuracy on the rapidly increasing Network RTK GNSS method in the field.

Production and Accuracy Analysis of Topographic Status Map Using Drone Images (드론영상을 이용한 지형 현황도 제작 및 정확도 분석)

  • Kim, Doopyo;Back, Kisuk;Kim, Sungbo
    • Journal of the Korean GEO-environmental Society
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    • v.22 no.2
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    • pp.35-39
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    • 2021
  • Photogrammetry using drone can produce high-resolution ortho image and acquire high-accuracy 3D information, which is useful. Therefore, this study attempted to determine the possibility of using drone-photogrammetry in park construction by producing a topographic map using drone-photogrammetry and analyzing the problems and accuracy generated during production. For this purpose, we created ortho image and DSM (digital surface model) using drone images and created topographic status map by vectorizing them. Accuracy was compared based on topographic status map by GPS (global positioning system) and TS (total station). The resulting of analyzing mean of the residuals at check points showed that 0.044 m in plane and 0.066 m in elevation, satisfying the tolerance range of 1/1,000 numerical maps, and result of compared lake size showed a difference of about 4.4%. On the other hand, it was difficult to obtain accurate height values for terrain in which existed vegetation when producing the topographic map, and in the case of underground buried objects, it is not possible to confirm it in the image, so direct spatial information acquisition was necessary. Therefore, it is judged that the topographic status map using drone photogrammetry can be efficiently constructed if direct spatial data acquisition is achieved for some terrain.

Geophysical Navigation for UUV without External Telemetry Systems (지구 물리정보를 이용한 무인잠수정의 복합 항법 기술)

  • Jang, Junwoo;Cho, Hyunkuen;Kim, Jinwhan;Byun, Seung-Woo
    • The Journal of Korea Robotics Society
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    • v.15 no.1
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    • pp.24-31
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    • 2020
  • Alternative navigation in underwater environments is essential to prevent accumulating drift error of dead reckoning. In case of using an external positioning system, the installation and management process of the transmission station is cumbersome, and the operation range of underwater vehicle is limited. In order to solve this problem, navigation using geophysical information such as terrain, geomagnetic field and gravity can be used. Unlike the terrain, geomagnetic field and gravity are composed of 3-D information, so continuation process is required. In this paper, we present a integrated navigation algorithm using multiple geophysical information for long-term operation of UUV. The proposed algorithm is verified through numerical simulation in an artificially generated environments. As a result, integrated navigation showed higher navigation accuracy than single alternative navigation.

Parameter analysis in Fast Global Registration to improve accuracy and speed (고속 전역 정합법에서 정밀도 및 속도 향상을 위한 매개변수 분석)

  • Lim, Sukhyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.6
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    • pp.799-806
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    • 2021
  • The transforming process of point clouds with its local coordinates into a global coordinate is called registration. In contrast to the local registration which takes a long time to calculate and performs precision registration after initial rough positioning, the global registration calculates the corresponding points for registration and performs at once, so it is generally faster than the local registration, and can perform it regardless of the initial position. Among the global methods, the Fast Global Registration is one of the widely used methods due to its fast performance. However, lots of parameters should be set to increase the registration accuracy and speed. In this paper, after analyzing and experimenting the parameters and propose parameters that work effectively in actual registration. The proposed result will be helpful in setting the direction when it is necessary to use the Fast Global Registration method.

Land cover classification using LiDAR intensity data and neural network

  • Minh, Nguyen Quang;Hien, La Phu
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.29 no.4
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    • pp.429-438
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    • 2011
  • LiDAR technology is a combination of laser ranging, satellite positioning technology and digital image technology for study and determination with high accuracy of the true earth surface features in 3 D. Laser scanning data is typically a points cloud on the ground, including coordinates, altitude and intensity of laser from the object on the ground to the sensor (Wehr & Lohr, 1999). Data from laser scanning can produce products such as digital elevation model (DEM), digital surface model (DSM) and the intensity data. In Vietnam, the LiDAR technology has been applied since 2005. However, the application of LiDAR in Vietnam is mostly for topological mapping and DEM establishment using point cloud 3D coordinate. In this study, another application of LiDAR data are present. The study use the intensity image combine with some other data sets (elevation data, Panchromatic image, RGB image) in Bacgiang City to perform land cover classification using neural network method. The results show that it is possible to obtain land cover classes from LiDAR data. However, the highest accurate classification can be obtained using LiDAR data with other data set and the neural network classification is more appropriate approach to conventional method such as maximum likelyhood classification.