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
Parents
236
Learning robust perceptive locomotion for quadrupedal robots in the wild
Takahiro Miki, Joonho Lee, Jemin Hwangbo et al. · Science Robotics · 2022 · 733 citations · Full text
Introduction to terrain vehicle systems
A.R. Reece · Journal of Terramechanics · 1970 · 386 citations
Learning long‐range vision for autonomous off‐road driving
Raia Hadsell, Pierre Sermanet, Jan Ben et al. · Journal of Field Robotics · 2009 · 316 citations
1–5 of 236
711
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203
Carnegie Mellon University
Pittsburgh, United States
17 h-index
65 publications
4.8K citations
Jet Propulsion Laboratory
Pasadena, United States
17 h-index
89 publications
5.3K citations
ETH Zurich
Zurich, Switzerland
13 h-index
40 publications
4.7K citations
California Institute of Technology
Pasadena, United States
8 h-index
24 publications
931 citations

Harbin Institute of Technology
Harbin, China
7 h-index
32 publications
829 citations
Massachusetts Institute of Technology
Cambridge, United States
7 h-index
24 publications
1.9K citations

Poznań University of Technology
Poznan, Poland
6 h-index
12 publications
416 citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
18 publications
1.2K citations
1–8 of 203
JFR · 12 publications · 1K citations
12
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10 publications · 224 citations
10
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7 publications · 938 citations
7
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5 publications · 628 citations
5
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4 publications · 67 citations
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