Data Association

Data Association is a fundamental process in sensor fusion that establishes correspondences between sensor measurements and known or hypothesized objects or tracks, distinguishing it from other fusion processes by its exclusive focus on resolving the origin of observed data in multi-object environments.

1.8K

Publications

103.1K

Citations

3.9K

Authors

1.2K

Institutions

Publications per year

2017–2026

446

Authors

3.9K

  1. YB
    Yaakov Bar‐Shalom

    University of Connecticut, United States

    76 publications · 11.6K citations

    40

    h-index

  2. PW
    Peter Willett

    University of Connecticut, United States

    39 publications · 1.6K citations

    22

    h-index

  3. DM
    Darko Mušicki

    The University of Melbourne, Australia

    21 publications · 1.5K citations

    16

    h-index

  4. TK
    T. Kirubarajan

    McMaster University, Canada

    16 publications · 1.2K citations

    15

    h-index

  5. CC
    Chee-Yee Chong

    Booz Allen Hamilton (United States), United States

    16 publications · 813 citations

    14

    h-index

1–5 of 3.9K

Venues

  1. 57

    h-index

  2. IEEE Transactions on Signal Processing

    38 publications · 2.7K citations

    27

    h-index

  3. Information Fusion

    40 publications · 2.4K citations

    27

    h-index

  4. 22

    h-index

  5. Sensors

    32 publications · 853 citations

    18

    h-index

1–5