Decentralized Sensor Fusion

Decentralized Sensor Fusion is a sensor fusion framework in which multiple sensors independently process local measurements and exchange summarized information with neighboring nodes to achieve a globally consistent state estimate without relying on a central processing unit.

207

Publications

13.8K

Citations

400

Authors

174

Institutions

Publications per year

2017–2026

30

Authors

400

  1. HD
    Hugh Durrant‐Whyte

    The University of Sydney, Australia

    19 publications · 1.4K citations

    16

    h-index

  2. PW
    Peter Willett

    University of Connecticut, United States

    8 publications · 410 citations

    8

    h-index

  3. VV
    Venugopal V. Veeravalli

    University of Illinois Urbana-Champaign, United States

    8 publications · 1.5K citations

    8

    h-index

  4. PS
    Pierluigi Salvo Rossi

    Norwegian University of Science and Technology, Norway

    7 publications · 403 citations

    7

    h-index

  5. DC
    Domenico Ciuonzo

    University of Naples Federico II, Italy

    7 publications · 403 citations

    7

    h-index

1–5 of 400

Venues

  1. IEEE Transactions on Information Theory

    21 publications · 1.9K citations

    19

    h-index

  2. IEEE Transactions on Signal Processing

    21 publications · 1.7K citations

    18

    h-index

  3. 14

    h-index

  4. IEEE Signal Processing Letters

    9 publications · 506 citations

    9

    h-index

  5. 7

    h-index

1–5