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    Observability Analysis of Relative Localization Filters Subjected to Platform Velocity Constraints 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2017:;volume( 139 ):;issue: 005:;page 51009
    Author(s): De Silva, Oscar; Mann, George K. I.; Gosine, Raymond G.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This research study performs an observability analysis of the relative localization problem related to multirobotic systems. The study considers different constraints related to the availability of relative position ...
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    The Right Invariant Nonlinear Complementary Filter for Low Cost Attitude and Heading Estimation of Platforms 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2018:;volume( 140 ):;issue: 001:;page 11011
    Author(s): De Silva, Oscar; Mann, George K. I.; Gosine, Raymond G.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a novel filter with low computational demand to address the problem of orientation estimation of a robotic platform. This is conventionally addressed by extended Kalman filtering (EKF) of measurements ...
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    Efficient and Consistent Two Key-Frame Visual-Inertial Navigation Using Matrix Lie Groups 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2022:;volume( 145 ):;issue: 001:;page 11001-1
    Author(s): Thalagala, Ravindu G.; De Silva, Oscar; Mann, George K. I.; Gosine, Raymond G.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents the design of a two key-frame visual-inertial navigation system (2KF-VINS) using a combined Lie group SE2(3) extended Kalman filter (EKF) design framework. The conventional 2KF-VINS filter is unobservable ...
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    Developing Computationally Efficient Nonlinear Cubature Kalman Filtering for Visual Inertial Odometry 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2019:;volume( 141 ):;issue: 008:;page 81012
    Author(s): Nguyen, Trung; Mann, George K. I.; Vardy, Andrew; Gosine, Raymond G.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a computationally efficient sensor-fusion algorithm for visual inertial odometry (VIO). The paper utilizes trifocal tensor geometry (TTG) for visual measurement model and a nonlinear deterministic-sam ...
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    Developing Computationally Efficient Nonlinear Cubature Kalman Filtering for Visual Inertial Odometry 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2019:;volume( 141 ):;issue: 008:;page 81012
    Author(s): Nguyen, Trung; Mann, George K. I.; Vardy, Andrew; Gosine, Raymond G.
    Publisher: American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a computationally efficient sensor-fusion algorithm for visual inertial odometry (VIO). The paper utilizes trifocal tensor geometry (TTG) for visual measurement model and a nonlinear deterministic-sam ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian