Track Estimation

Track Estimation is a methodological framework within the domain of multi-sensor data fusion that specifically generates and refines spatiotemporal state trajectories of moving objects by integrating disparate track-level measurements through probabilistic inference and filtering techniques.

1.3K

Publications

58.7K

Citations

3.4K

Authors

1K

Institutions

Publications per year

2017–2026

305

Authors

3.4K

  1. YB
    Yaakov Bar‐Shalom

    University of Connecticut, United States

    52 publications · 5.2K citations

    27

    h-index

  2. BV
    Ba‐Ngu Vo

    Curtin University, Australia

    19 publications · 2.2K citations

    18

    h-index

  3. PW
    Peter Willett

    University of Connecticut, United States

    22 publications · 825 citations

    17

    h-index

  4. BV
    Ba-Tuong Vo

    Curtin University, Australia

    14 publications · 1.8K citations

    13

    h-index

  5. RJ
    Robin J. Evans

    The University of Melbourne, Australia

    13 publications · 941 citations

    11

    h-index

1–5 of 3.4K

Venues