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    KCI등재 SCIE SCOPUS

    PRECISE AND RELIABLE POSITIONING BASED ON THE INTEGRATION OF NAVIGATION SATELLITE SYSTEM AND VISION SYSTEM

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    https://www.riss.kr/link?id=A104634970

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    In this paper, we propose a precise and reliable positioning method for solving common problems, such as anavigation satellite's signal occlusion in an urban canyon and the positioning error due to a limited number of visiblenavigation satellites. This is an integrated system of the navigation satellites system and a vision system. In general, thenavigation satellite positioning system has a fatal weakness in that it can not calculate a position coordinate when its signalis occluded by some obstacle. For this reason, positioning by using the navigation satellites system can not be used for avariety of applications. Therefore, we propose as a method to integrate both the navigation satellites system and the visionsystem. Some target objects that have accurate position coordinates, for example, in an outdoor shaded area like an urbancanyon, are installed into the vision system. When the vision system recognizes a target object it loads the accurate coordinateof that target object. Then, it measures the distance by using the disparity from the camera sensor to the target object. Thesedistance and object coordinate data are used for positioning with the navigation satellites system's data. This integrated systemcan be used for the positioning solution where the user is in unfavorable conditions. This paper shows that the algorithm ofintegrated system and the numerical test performed. The results indicate that the reliable and stable positioning can be obtainedby introducing the vision system to the satellite navigation system.
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    In this paper, we propose a precise and reliable positioning method for solving common problems, such as anavigation satellite's signal occlusion in an urban canyon and the positioning error due to a limited number of visiblenavigation satellites. Thi...

    In this paper, we propose a precise and reliable positioning method for solving common problems, such as anavigation satellite's signal occlusion in an urban canyon and the positioning error due to a limited number of visiblenavigation satellites. This is an integrated system of the navigation satellites system and a vision system. In general, thenavigation satellite positioning system has a fatal weakness in that it can not calculate a position coordinate when its signalis occluded by some obstacle. For this reason, positioning by using the navigation satellites system can not be used for avariety of applications. Therefore, we propose as a method to integrate both the navigation satellites system and the visionsystem. Some target objects that have accurate position coordinates, for example, in an outdoor shaded area like an urbancanyon, are installed into the vision system. When the vision system recognizes a target object it loads the accurate coordinateof that target object. Then, it measures the distance by using the disparity from the camera sensor to the target object. Thesedistance and object coordinate data are used for positioning with the navigation satellites system's data. This integrated systemcan be used for the positioning solution where the user is in unfavorable conditions. This paper shows that the algorithm ofintegrated system and the numerical test performed. The results indicate that the reliable and stable positioning can be obtainedby introducing the vision system to the satellite navigation system.

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    참고문헌 (Reference)

    1 Khammari, A., "Vehicle detection combining gradient analysis and AdaBoost classification" 66-71, 2005

    2 Elliott, D. K., "Understanding GPS: Principles and Applications" Artech House 1996

    3 Kim, J. H., "Stereo vision-bsed improving cascade classifire learning for vehicle detection" 387-397, 2011

    4 Lee, C. H., "Stereo vision-based vehicle detection using a road feature and disparity histogram" 50 (50): 027004-1-027004-23, 2011

    5 Becker, G. C., "Reliable navigation using landmarks" 401-406, 1995

    6 Coelho, L. S., "Pose estimation of autonomous dirigibles using artificial landmarks" 4 : 2584-2589, 1999

    7 Hubbard, D., "Performance evaluation of visionbased navigation and landing on a rotorcraft unmanned aerial vehicle" 2007

    8 Broggi, A., "Obstacle detection with stereo vision for off-road vehicle navigation" 3 : 65-72, 2005

    9 Lemonde, V., "Obstacle Detection with Stereo Vision" Mechatronics and Robotics 2004

    10 Saito, T., "Next generation driving assist system using new stereo camera" FISITA 2008

    1 Khammari, A., "Vehicle detection combining gradient analysis and AdaBoost classification" 66-71, 2005

    2 Elliott, D. K., "Understanding GPS: Principles and Applications" Artech House 1996

    3 Kim, J. H., "Stereo vision-bsed improving cascade classifire learning for vehicle detection" 387-397, 2011

    4 Lee, C. H., "Stereo vision-based vehicle detection using a road feature and disparity histogram" 50 (50): 027004-1-027004-23, 2011

    5 Becker, G. C., "Reliable navigation using landmarks" 401-406, 1995

    6 Coelho, L. S., "Pose estimation of autonomous dirigibles using artificial landmarks" 4 : 2584-2589, 1999

    7 Hubbard, D., "Performance evaluation of visionbased navigation and landing on a rotorcraft unmanned aerial vehicle" 2007

    8 Broggi, A., "Obstacle detection with stereo vision for off-road vehicle navigation" 3 : 65-72, 2005

    9 Lemonde, V., "Obstacle Detection with Stereo Vision" Mechatronics and Robotics 2004

    10 Saito, T., "Next generation driving assist system using new stereo camera" FISITA 2008

    11 Jinling, W., "Intergration of GPS/INS/vision sensors to navigate unmanned aerial vehicles" 37 : 963-969, 2008

    12 Godha, S., "Integration of DGPS with a low cost MEMS-based Inerial Measurement Unit (IMU) for land vehicle navigation application" 2005

    13 Lim, Y. C., "Improvement of stereo vision-based position and velocity estimation and tracking using a strip-based disparity estimation and inverse perspective map-based extended Kalman filter" 48 (48): 859-868, 2010

    14 Bradford, W., "Global Positioning System, Theory and Applications. Volume I and Volume II" 2 : 51-58, 1996

    15 Hofmann, W. B., "GPS: Theory and Practice" Springer 2001

    16 Tsui, J. B., "Fundamentals of Global Positioning System Receivers: A Software Approach" John Wiley & Sons 2000

    17 E. J. ROSSETTER, "EXPERIMENTAL VALIDATION OF THE POTENTIAL FIELD LANEKEEPING SYSTEM" 한국자동차공학회 5 (5): 95-108, 2004

    18 Gary, B., "Computer Vision with the OpenCV Librany" O’Reilly 2008

    19 Bertozzi, M., "Artificial Vision in Road Vehicles" 90 (90): 1258-1271, 2002

    20 Ramjee, P., "Applied Satellite Navigation Using GPS, Galileo, and Augmentation Systems" Artech House 2005

    21 Srinivasa, N., "A vision-based vehicle detection and tracking method for forward collision warning" 626-631, 2002

    22 Sharp, C. S., "A vision system for landing an unmanned aerial vehicle" 2 : 1720-1727, 2001

    23 Kwon, S., "A sliced synchronous iteration architecture for real-time global stereo matching" 7543 : 12-11, 2010

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    학술지 이력

    학술지 이력
    연월일 이력구분 이력상세 등재구분
    2023 평가 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
    2020-01-01 등재 등재학술지 유지 (해외등재 학술지 평가) KCI등재
    2011-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2009-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2006-01-01 등재 등재학술지 선정 (등재후보2차) KCI등재
    2005-06-10 학술지명변경 한글명 : 한국자동차공학회 영문논문집 -> International Journal of Automotive Technology
    외국어명 : International Journal of Automotive Tech -> International Journal of Automotive Technology
    KCI등재후보
    2005-01-01 등재 등재후보 1차 PASS (등재후보1차) KCI등재후보
    2004-01-01 등재 SCIE 등재 (신규평가) KCI등재후보
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    학술지 인용정보
    기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
    2016 1.14 0.53 0.85
    KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
    0.71 0.62 0.534 0.03
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