Multitarget Data Association

Multitarget Data Association is a data association method that specifically addresses the problem of jointly assigning multiple sensor measurements to multiple hypothesized targets in a cluttered environment, distinguishing itself from single-target approaches by accounting for interactions, ambiguity, and uncertainty across a time-varying number of targets and measurements.

221

Publications

17K

Citations

518

Authors

241

Institutions

Publications per year

2017–2026

43

Variants

Multi-target Data Association

Authors

518

  1. YB
    Yaakov Bar‐Shalom

    University of Connecticut, United States

    23 publications · 2.2K citations

    17

    h-index

  2. KR
    Krishna R. Pattipati

    University of Connecticut, United States

    11 publications · 1.1K citations

    11

    h-index

  3. KS
    Konrad Schindler

    ETH Zurich, Switzerland

    6 publications · 3K citations

    6

    h-index

  4. KC
    Kuo‐Chu Chang

    George Mason University, United States

    4 publications · 343 citations

    4

    h-index

  5. AM
    Anton Milan

    The University of Adelaide, Australia

    4 publications · 1K citations

    4

    h-index

1–5 of 518

Venues

  1. 22

    h-index

  2. 13

    h-index

  3. Sensors

    7 publications · 248 citations

    7

    h-index

  4. IEEE Transactions on Signal Processing

    6 publications · 1K citations

    6

    h-index

  5. IEEE Transactions on Automatic Control

    5 publications · 636 citations

    5

    h-index

1–5