Underwater Sensor Fusion

Underwater Sensor Fusion is a computational framework that integrates heterogeneous data streams from multiple submerged sensing modalities to produce a more accurate, consistent, and reliable representation of the subsea environment, distinguished by its adaptation to the acoustic, optical, and inertial characteristics unique to underwater robotic systems.

186

Publications

7.2K

Citations

700

Authors

250

Institutions

Publications per year

2017–2026

102

Authors

700

  1. AB
    A. Balasuriya

    Nanyang Technological University, Singapore

    6 publications · 163 citations

    6

    h-index

  2. IR
    Ioannis Rekleitis

    McGill University, Canada

    5 publications · 284 citations

    5

    h-index

  3. SR
    Sharmin Rahman

    University of South Carolina, United States

    4 publications · 242 citations

    4

    h-index

  4. GF
    Gabriele Ferri

    Scuola Superiore Sant'Anna, Italy

    4 publications · 209 citations

    4

    h-index

  5. AQ
    Alberto Quattrini Li

    University of South Carolina, United States

    4 publications · 243 citations

    4

    h-index

1–5 of 700

Venues

  1. Sensors

    10 publications · 312 citations

    9

    h-index

  2. IEEE Sensors Journal

    5 publications · 322 citations

    5

    h-index

  3. 4

    h-index

  4. Journal of Marine Science and Engineering

    4 publications · 283 citations

    4

    h-index

  5. IEEE Access

    5 publications · 170 citations

    4

    h-index

1–5