Sonar Perception

Sonar Perception is a methodological framework in marine robot perception that utilizes underwater acoustic signals to detect, localize, and interpret environmental features by distinguishing target reflections from ambient noise and multipath interference.

199

Publications

10.8K

Citations

432

Authors

189

Institutions

Publications per year

2017–2026

24

Authors

432

  1. JA
    James A. Simmons

    Brown University, United States

    12 publications · 1.3K citations

    12

    h-index

  2. CF
    Cynthia F. Moss

    University of Maryland, College Park, United States

    12 publications · 916 citations

    11

    h-index

  3. RK
    Roman Kuc

    Yale University, United States

    10 publications · 418 citations

    10

    h-index

  4. LW
    Lutz Wiegrebe

    Ludwig-Maximilians-Universität München, Germany

    6 publications · 101 citations

    6

    h-index

  5. HP
    Herbert Peremans

    University of Antwerp, Belgium

    6 publications · 182 citations

    6

    h-index

1–5 of 432

Venues

  1. The Journal of the Acoustical Society of America

    JASA · 25 publications · 1.4K citations

    19

    h-index

  2. Science

    9 publications · 1.1K citations

    9

    h-index

  3. Robotics and Autonomous Systems

    6 publications · 269 citations

    6

    h-index

  4. Journal of Experimental Biology

    5 publications · 250 citations

    5

    h-index

  5. Journal of Comparative Physiology A

    5 publications · 707 citations

    5

    h-index

1–5