Measurement Update

Measurement Update is a probabilistic refinement step within recursive Bayesian estimation that specifically adjusts the belief state by incorporating sensor observations to reweight hypotheses according to their likelihood given the measured data.

226

Publications

9K

Citations

579

Authors

253

Institutions

Publications per year

2017–2026

80

Authors

579

  1. UD
    Uwe D. Hanebeck

    Karlsruhe Institute of Technology, Germany

    11 publications · 567 citations

    11

    h-index

  2. YO
    Yaakov Oshman

    Technion – Israel Institute of Technology, Israel

    8 publications · 311 citations

    8

    h-index

  3. AC
    Avishy Carmi

    Technion – Israel Institute of Technology, Israel

    7 publications · 232 citations

    7

    h-index

  4. BH
    Baiqing Hu

    Naval University of Engineering, China

    5 publications · 272 citations

    5

    h-index

  5. LC
    Lubin Chang

    Naval University of Engineering, China

    5 publications · 272 citations

    5

    h-index

1–5 of 579

Venues

  1. 11

    h-index

  2. Journal of Guidance Control and Dynamics

    10 publications · 495 citations

    10

    h-index

  3. 8

    h-index

  4. Sensors

    7 publications · 171 citations

    7

    h-index

  5. 6

    h-index

1–5