Motion Uncertainty Quantification

Motion Uncertainty Quantification is a systematic method for characterizing and measuring the unpredictability and variability in the estimation or prediction of motion states within dynamic systems, distinguished by its focus on quantifying statistical confidence and error bounds associated with motion parameters.

46

Publications

3K

Citations

148

Authors

82

Institutions

Publications per year

2017–2026

15

Authors

148

  1. JM
    Jun Miura

    The University of Osaka, Japan

    3 publications · 59 citations

    3

    h-index

  2. DD
    D. Durante

    Institute of Marine Engineering, Italy

    2 publications · 24 citations

    2

    h-index

  3. RB
    Riccardo Broglia

    National Research Council, Italy

    2 publications · 24 citations

    2

    h-index

  4. FS
    Frederick Stern

    University of Iowa, United States

    2 publications · 24 citations

    2

    h-index

  5. XL
    Xiaodan Liang

    Sun Yat-sen University, China

    2 publications · 358 citations

    2

    h-index

1–5 of 148

Venues

  1. Sensors

    2 publications · 41 citations

    2

    h-index

  2. Measurement Science and Technology

    2 publications · 745 citations

    2

    h-index

  3. 55th AIAA Aerospace Sciences Meeting

    2 publications · 24 citations

    2

    h-index

  4. PubMed

    Repository · 1 publications · 61 citations

    1

    h-index

  5. UvA-DARE (University of Amsterdam)

    Repository · 1 publications · 16 citations

    1

    h-index

1–5