Stereo Vision Navigation

Stereo Vision Navigation is a method of autonomous field navigation that employs stereo vision—a pair of spatially displaced cameras—to estimate depth and spatial structure from disparity maps, thereby enabling obstacle detection, terrain mapping, and path planning in unstructured environments.

338

Publications

16.7K

Citations

1K

Authors

340

Institutions

Publications per year

2017–2026

68

Authors

1K

  1. LM
    Larry Matthies

    Jet Propulsion Laboratory, United States

    17 publications · 2.5K citations

    14

    h-index

  2. MM
    Mark Maimone

    Jet Propulsion Laboratory, United States

    6 publications · 1.8K citations

    6

    h-index

  3. MI
    Masayuki Inaba

    The University of Tokyo, Japan

    5 publications · 310 citations

    5

    h-index

  4. HH
    Heiko Hirschmüller

    Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany

    4 publications · 525 citations

    4

    h-index

  5. JM
    Jane Mulligan

    University of Colorado Boulder, United States

    4 publications · 110 citations

    4

    h-index

1–5 of 1K

Venues

  1. Journal of Field Robotics

    JFR · 14 publications · 1.4K citations

    12

    h-index

  2. Robotics and Autonomous Systems

    6 publications · 376 citations

    6

    h-index

  3. Autonomous Robots

    4 publications · 352 citations

    4

    h-index

  4. Robotica

    4 publications · 58 citations

    4

    h-index

  5. 4

    h-index

1–5