Multisensor Fusion

Multisensor Fusion is a computational method that integrates heterogeneous data from multiple sensor sources to enhance situational awareness and decision accuracy in Traffic Collision Avoidance Systems by reducing uncertainty and improving detection reliability compared to single-sensor approaches.

2.1K

Publications

111K

Citations

6K

Authors

1.6K

Institutions

Publications per year

2017–2026

682

Authors

6K

  1. YB
    Yaakov Bar‐Shalom

    University of Connecticut, United States

    18 publications · 2K citations

    16

    h-index

  2. KD
    Klaus Dietmayer

    Universität Ulm, Germany

    18 publications · 857 citations

    16

    h-index

  3. ZD
    Zili Deng

    Heilongjiang University, China

    13 publications · 569 citations

    12

    h-index

  4. LY
    Lucy Y. Pao

    University of Colorado Boulder, United States

    11 publications · 415 citations

    11

    h-index

  5. RM
    Ronald Mahler

    Lockheed Martin (United States), United States

    11 publications · 618 citations

    10

    h-index

1–5 of 6K

Venues

  1. 33

    h-index

  2. 33

    h-index

  3. 31

    h-index

  4. Sensors

    72 publications · 3K citations

    31

    h-index

  5. IEEE Sensors Journal

    47 publications · 3.1K citations

    28

    h-index

1–5