Terrain Perception

Terrain Perception is a computational process in robotics and autonomous systems that identifies and characterizes the physical properties and navigability of ground surfaces from sensor data to support locomotion planning and control.

236

Publications

12.4K

Citations

711

Authors

203

Institutions

Publications per year

2017–2026

55

Authors

711

  1. LM
    Larry Matthies

    Jet Propulsion Laboratory, United States

    13 publications · 1K citations

    12

    h-index

  2. EK
    Eric Krotkov

    Carnegie Mellon University, United States

    10 publications · 421 citations

    10

    h-index

  3. MH
    Martial Hebert

    Carnegie Mellon University, United States

    8 publications · 764 citations

    8

    h-index

  4. GR
    Giulio Reina

    University of Salento, Italy

    8 publications · 398 citations

    8

    h-index

  5. MH
    Marco Hutter

    ETH Zurich, Switzerland

    7 publications · 1K citations

    7

    h-index

1–5 of 711

Venues

  1. Journal of Field Robotics

    JFR · 12 publications · 1K citations

    12

    h-index

  2. 10

    h-index

  3. IEEE Robotics and Automation Letters

    7 publications · 938 citations

    7

    h-index

  4. Journal of Terramechanics

    5 publications · 628 citations

    5

    h-index

  5. Robotics and Autonomous Systems

    4 publications · 67 citations

    4

    h-index

1–5