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    KCI등재 SCIE

    A Platform Stabilization Algorithm Based on Feedforward Visual-Inertial Servoing

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    https://www.riss.kr/link?id=A104365546

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    This paper presents a method of improving performance of visual servoing system by integrating inertial sensors to the system. The method is applied to a roll and pitch rotated platform stabilization in high control frequency. For the purpose,an inertial measurement unit is attached to the platform to provide its dynamics information. A new inertial information based feedforward control is used along with the conventional visual feedback control. Two contributions are realized: first,it helps solve the remaining limitation of static-object assumption in conventional visual servoing. Second, it helps drastically improve the response rate of the servoing system due to the utilization of a high-speed inertial measurement unit.
    Stability of the control system is analyzed such that the error of the system is proved to be bounded. Control algorithm was simulated using Matlab Aerospace Toolbox as well as Robotics Toolbox. Then, experiments were implemented to verify the feasibility of the proposed methodology.
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    This paper presents a method of improving performance of visual servoing system by integrating inertial sensors to the system. The method is applied to a roll and pitch rotated platform stabilization in high control frequency. For the purpose,an inert...

    This paper presents a method of improving performance of visual servoing system by integrating inertial sensors to the system. The method is applied to a roll and pitch rotated platform stabilization in high control frequency. For the purpose,an inertial measurement unit is attached to the platform to provide its dynamics information. A new inertial information based feedforward control is used along with the conventional visual feedback control. Two contributions are realized: first,it helps solve the remaining limitation of static-object assumption in conventional visual servoing. Second, it helps drastically improve the response rate of the servoing system due to the utilization of a high-speed inertial measurement unit.
    Stability of the control system is analyzed such that the error of the system is proved to be bounded. Control algorithm was simulated using Matlab Aerospace Toolbox as well as Robotics Toolbox. Then, experiments were implemented to verify the feasibility of the proposed methodology.

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    참고문헌 (Reference)

    1 Papanikolopoulos, N., "Visual tracking of a moving target by a camera mounted on a robot : a combination of vision and control" 9 (9): 14-35, 1993

    2 Kase, H., "Visual Servoing of the Manipulator using the Stereo Vision" 3 : 1791-1796, 1993

    3 Chaumette, F., "Visual Servo Control, Part II: Advanced Approaches" 14 (14): 109-118, 2007

    4 Chaumette, F., "Visual Servo Control, Part I: Basic Approaches" 13 (13): 82-90, 2006

    5 Lobo, J., "Vision and inertial sensor cooperation using gravity as a vertical reference" 25 (25): 1597-1608, 2003

    6 Marchand, E., "ViSP for visual servoing : a generic software platform with a wide class of robot control skills" 12 (12): 40-52, 2005

    7 Remme, E. W., "Validation of cardiac accelerometer sensor measurements" 30 (30): 1429-1444, 2009

    8 이동규, "Test and Error Parameter Estimation for MEMS - Based Low Cost IMU Calibration" 한국정밀공학회 12 (12): 597-603, 2011

    9 Brosilow, C., "Techniques of Model-Based Control" Prentice Hall 2002

    10 Hol, J. D., "Sensor Fusion for Augmented Reality" 1-6, 2006

    1 Papanikolopoulos, N., "Visual tracking of a moving target by a camera mounted on a robot : a combination of vision and control" 9 (9): 14-35, 1993

    2 Kase, H., "Visual Servoing of the Manipulator using the Stereo Vision" 3 : 1791-1796, 1993

    3 Chaumette, F., "Visual Servo Control, Part II: Advanced Approaches" 14 (14): 109-118, 2007

    4 Chaumette, F., "Visual Servo Control, Part I: Basic Approaches" 13 (13): 82-90, 2006

    5 Lobo, J., "Vision and inertial sensor cooperation using gravity as a vertical reference" 25 (25): 1597-1608, 2003

    6 Marchand, E., "ViSP for visual servoing : a generic software platform with a wide class of robot control skills" 12 (12): 40-52, 2005

    7 Remme, E. W., "Validation of cardiac accelerometer sensor measurements" 30 (30): 1429-1444, 2009

    8 이동규, "Test and Error Parameter Estimation for MEMS - Based Low Cost IMU Calibration" 한국정밀공학회 12 (12): 597-603, 2011

    9 Brosilow, C., "Techniques of Model-Based Control" Prentice Hall 2002

    10 Hol, J. D., "Sensor Fusion for Augmented Reality" 1-6, 2006

    11 KAIST Mobile Harbor Center, "Mobile Harbor Project (2009-2012)"

    12 Craig, J. J., "Introduction to robotics mechanics and control, 3rd ed" Pearson Educational Inc 2005

    13 Mariottini, G. L., "Image-Based Visual Servoing for Nonholonomic Mobile Robots Using Epipolar Geometry" 23 (23): 87-100, 2007

    14 Chroust, S. G., "Fusion of Vision and Inertial Data for Motion and Structure Estimation" 21 (21): 73-83, 2004

    15 Chatfield, A. B, "Fundamentals of High Accuracy Inertial Navigation" AIAA 79-107, 1997

    16 Corke, P., "An Introduction to Inertial and Visual Sensing" 26 (26): 519-535, 2007

    17 Ginhoux, R., "Active filtering of physiological motion in robotized surgery using predictive control" 21 (21): 67-79, 2005

    18 Hutchinson, S., "A tutorial on visual servo control" 12 (12): 651-670, 1996

    19 Espiau, B., "A new approach to visual servoing in robotics" 8 (8): 313-326, 1992

    20 Ho-Quoc-Phuong Nguyen, "A Visual-Inertial Servoing Method for Tracking Object with Two Landmarks and an Inertial Measurement Unit" 제어·로봇·시스템학회 9 (9): 317-327, 2011

    21 Corke, P., "A Robotics Toolbox for MATLAB" 3 (3): 24-32, 1996

    22 Nguyen, H. Q. P., "A DCM Based Orientation Estimation Algorithm with an Inertial Measurement Unit and a Magnetic Compass" GRAZ UNIV TECHNOLGOY 15 (15): 859-876, 200902

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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
    2008-06-23 학회명변경 영문명 : Korean Society Of Precision Engineering -> Korean Society for Precision Engineering KCI등재
    2006-01-01 등재 등재학술지 선정 (등재후보2차) KCI등재
    2005-05-30 학술지명변경 한글명 : 한국정밀공학회 영문논문집 -> International Journal of the Korean of Precision Engineering KCI등재후보
    2005-05-30 학술지명변경 한글명 : International Journal of the Korean of Precision Engineering -> International Journal of Precision Engineering and Manufacturing
    외국어명 : International Journal of the Korean of Precision Engineering -> International Journal of Precision Engineering and Manufacturing
    KCI등재후보
    2005-01-01 등재 등재후보 1차 PASS (등재후보1차) KCI등재후보
    2003-07-01 등재 등재후보학술지 선정 (신규평가) KCI등재후보
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    학술지 인용정보

    학술지 인용정보
    기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
    2016 1.38 0.71 1.08
    KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
    0.92 0.85 0.583 0.11
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