Model-based Localization

Model-Based Localization is a localization approach that determines the position of an underwater entity by leveraging a predefined mathematical or physical model of the propagation environment and sensor characteristics to infer location from measured signals.

64

Publications

4.3K

Citations

204

Authors

112

Institutions

Publications per year

2017–2026

26

Authors

204

  1. AL
    Aixuan Li

    Huazhong Agricultural University, China

    2 publications · 564 citations

    2

    h-index

  2. NB
    Nick Barnes

    Australian National University, Australia

    2 publications · 564 citations

    2

    h-index

  3. HD
    Hugh Durrant‐Whyte

    The University of Sydney, Australia

    2 publications · 1.3K citations

    2

    h-index

  4. BL
    Bowen Liu

    University of Michigan, United States

    2 publications · 564 citations

    2

    h-index

  5. CO
    Christopher O. Tiemann

    Scripps Institution of Oceanography, United States

    2 publications · 30 citations

    2

    h-index

1–5 of 204

Venues

  1. The Journal of the Acoustical Society of America

    JASA · 4 publications · 119 citations

    4

    h-index

  2. Robotics and Autonomous Systems

    3 publications · 201 citations

    3

    h-index

  3. IEEE Transactions on Image Processing

    2 publications · 46 citations

    2

    h-index

  4. Sensors

    2 publications · 114 citations

    2

    h-index

  5. IEEE Journal of Oceanic Engineering

    2 publications · 89 citations

    2

    h-index

1–5