Heterogeneous Sensor Fusion

Heterogeneous Sensor Fusion is a multisensor data integration methodology that combines data from sensors of different physical modalities or measurement principles to achieve improved accuracy, robustness, and complementary information extraction beyond what homogeneous fusion can provide.

100

Publications

3.5K

Citations

398

Authors

163

Institutions

Publications per year

2017–2026

50

Authors

398

  1. DW
    Danwei Wang

    Nanyang Technological University, Singapore

    2 publications · 73 citations

    2

    h-index

  2. ML
    Martin Laurenzis

    Institut Franco-Allemand de Recherches de Saint-Louis, France

    2 publications · 63 citations

    2

    h-index

  3. SH
    Sébastien Hengy

    Institut Franco-Allemand de Recherches de Saint-Louis, France

    2 publications · 63 citations

    2

    h-index

  4. SL
    Sridhar Lakshmanan

    University of Michigan–Dearborn, United States

    2 publications · 65 citations

    2

    h-index

  5. KD
    Klaus Dietmayer

    Universität Ulm, Germany

    2 publications · 31 citations

    2

    h-index

1–5 of 398

Venues

  1. Sensors

    5 publications · 137 citations

    5

    h-index

  2. IEEE Access

    2 publications · 41 citations

    2

    h-index

  3. IEEE Sensors Journal

    2 publications · 60 citations

    2

    h-index

  4. Information Fusion

    2 publications · 114 citations

    2

    h-index

  5. IEEE Transactions on Signal Processing

    2 publications · 63 citations

    2

    h-index

1–5