Multi-sensor Tracking

Multi-Sensor Tracking is a multi-object tracking framework that integrates measurements or tracks from multiple spatially distributed sensors to generate a coherent and accurate representation of target trajectories, distinguished by its capability to handle heterogeneous sensor data, spatial coverage diversity, and inter-sensor redundancy or complementarity within a unified estimation process.

381

Publications

17.6K

Citations

944

Authors

342

Institutions

Publications per year

2017–2026

81

Authors

944

  1. YB
    Yaakov Bar‐Shalom

    University of Connecticut, United States

    19 publications · 1.2K citations

    15

    h-index

  2. PW
    Peter Willett

    University of Connecticut, United States

    12 publications · 501 citations

    11

    h-index

  3. OE
    Oliver E. Drummond

    National Society of Professional Engineers, United States

    8 publications · 337 citations

    8

    h-index

  4. PB
    Paolo Braca

    North Atlantic Treaty Organization, Belgium

    6 publications · 715 citations

    6

    h-index

  5. KC
    Kuo‐Chu Chang

    George Mason University, United States

    6 publications · 408 citations

    6

    h-index

1–5 of 944

Venues

  1. 30

    h-index

  2. 17

    h-index

  3. IEEE Transactions on Signal Processing

    8 publications · 900 citations

    8

    h-index

  4. Sensors

    6 publications · 126 citations

    6

    h-index

  5. Signal Processing

    6 publications · 236 citations

    6

    h-index

1–5