Attitude Uncertainty Quantification

Attitude Uncertainty Quantification is a formal methodology within the field of attitude determination that characterizes the statistical confidence or error bounds associated with the estimated orientation of a rigid body in three-dimensional space, distinguishing itself by systematically modeling and propagating uncertainties arising from sensor noise, modeling errors, and environmental disturbances.

20

Publications

1K

Citations

50

Authors

28

Institutions

Publications per year

2017–2026

8

Authors

50

  1. TL
    Taeyoung Lee

    George Washington University, United States

    2 publications · 141 citations

    2

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  2. ML
    Melvin Leok

    University of Michigan, United States

    2 publications · 141 citations

    2

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  3. CY
    Chen Yang

    Beihang University, China

    2 publications · 138 citations

    2

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  4. NH
    N. Harris McClamroch

    University of Michigan, United States

    2 publications · 141 citations

    2

    h-index

  5. YX
    Yuanqing Xia

    Beijing Institute of Technology, China

    1 publications · 71 citations

    1

    h-index

1–5 of 50

Venues

  1. 2

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  2. Remote Sensing of Environment

    1 publications · 17 citations

    1

    h-index

  3. Information Sciences

    1 publications · 133 citations

    1

    h-index

  4. Acta Astronautica

    1 publications · 58 citations

    1

    h-index

  5. Journal of Guidance Control and Dynamics

    1 publications · 35 citations

    1

    h-index

1–5