Feature-based Navigation

Feature-Based Navigation is a method of underwater navigation that relies on identifying and tracking distinctive environmental features, such as seafloor topography or artificial landmarks, to estimate position and orientation relative to a prior map or sensor observations.

19

Publications

456

Citations

72

Authors

34

Institutions

Publications per year

2017–2026

5

Authors

72

  1. BM
    Bill Moran

    The University of Melbourne, Australia

    1 publications · 14 citations

    1

    h-index

  2. BU
    Ben Upcroft

    Queensland University of Technology, Australia

    1 publications · 16 citations

    1

    h-index

  3. OS
    O. S. Barnouin

    Johns Hopkins University Applied Physics Laboratory, United States

    1 publications · 30 citations

    1

    h-index

  4. AK
    Anna Kwasiborska

    Warsaw University of Technology, Poland

    1 publications · 15 citations

    1

    h-index

  5. JC
    Jonas Callmer

    Linköping University, Sweden

    1 publications · 56 citations

    1

    h-index

1–5 of 72

Venues

  1. International Journal of Control

    1 publications · 14 citations

    1

    h-index

  2. The Planetary Science Journal

    1 publications · 30 citations

    1

    h-index

  3. Aerospace Science and Technology

    AST · 1 publications · 21 citations

    1

    h-index

  4. Machine Vision Applications

    Conference · 1 publications · 16 citations

    1

    h-index

  5. IEEE Access

    1 publications · 13 citations

    1

    h-index

1–5