Multimodal Sensor Fusion

Multimodal Sensor Fusion is a computational framework that integrates heterogeneous sensory data from multiple distinct modalities to achieve enhanced perception and situational awareness in marine robotic systems, distinguishing itself from single-modal approaches through the synergistic combination of complementary sensor inputs.

478

Publications

21.8K

Citations

1.9K

Authors

606

Institutions

Publications per year

2017–2026

275

Authors

1.9K

  1. SB
    Sven Behnke

    University of Bonn, Germany

    6 publications · 233 citations

    6

    h-index

  2. RS
    Roland Siegwart

    ETH Zurich, Switzerland

    6 publications · 245 citations

    6

    h-index

  3. MN
    Matthias Nieuwenhuisen

    University of Bonn, Germany

    5 publications · 208 citations

    5

    h-index

  4. DD
    David Droeschel

    University of Bonn, Germany

    5 publications · 208 citations

    5

    h-index

  5. MM
    Mohan M. Trivedi

    University of California San Diego, United States

    5 publications · 140 citations

    5

    h-index

1–5 of 1.9K

Venues

  1. Sensors

    27 publications · 1.8K citations

    20

    h-index

  2. IEEE Sensors Journal

    21 publications · 1.4K citations

    17

    h-index

  3. IEEE Access

    13 publications · 419 citations

    11

    h-index

  4. Information Fusion

    12 publications · 911 citations

    11

    h-index

  5. 11

    h-index

1–5