Hypothesis Management

Hypothesis Management is a computational framework within multi-target tracking systems that orchestrates the generation, evaluation, and pruning of competing data association hypotheses to ensure optimal fusion of track estimates across multiple sensors or nodes.

11

Publications

335

Citations

26

Authors

17

Institutions

Publications per year

2017–2026

2

Authors

26

  1. KB
    Kathryn Blackmond Laskey

    George Mason University, United States

    2 publications · 56 citations

    2

    h-index

  2. SV
    Susan V. Lynch

    University of California, San Francisco, United States

    1 publications · 34 citations

    1

    h-index

  3. SR
    Sylvian R. Ray

    University of Illinois Urbana-Champaign, United States

    1 publications · 12 citations

    1

    h-index

  4. FE
    François E. Cellier

    University of Arizona, United States

    1 publications · 16 citations

    1

    h-index

  5. SM
    Suzanne M. Mahoney

    Information Extraction & Transport (United States), United States

    1 publications · 26 citations

    1

    h-index

1–5 of 26

Venues

  1. arXiv (Cornell University)

    Repository · 1 publications · 26 citations

    1

    h-index

  2. 1

    h-index

  3. Defense Technical Information Center (DTIC)

    Repository · 1 publications · 34 citations

    1

    h-index

  4. 1

    h-index

  5. Computing in Science & Engineering

    1 publications · 10 citations

1–5