Lidar-based Perception
LiDAR-Based Perception is a computational framework within agricultural robotics that uses light detection and ranging (LiDAR) sensor data to construct precise three-dimensional environmental representations for the purpose of enabling autonomous decision-making in crop and terrain analysis.
248
Publications
12K
Citations
914
Authors
298
Institutions
Publications per year
2017–2026
189
248
Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving
2019 · 436 citations · Full text
Agricultural robot dataset for plant classification, localization and mapping on sugar beet fields
Nived Chebrolu, Philipp Lottes, Alexander Schaefer et al. · The International Journal of Robotics Research · 2017 · 327 citations · Full text
Engineering, Agricultural Engineering, Robotics Engineering +17
1–5 of 248
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298
China Agricultural University
Beijing, China
6 h-index
28 publications
1.4K citations
University of Illinois Urbana-Champaign
Urbana, United States
6 h-index
8 publications
385 citations
Carnegie Mellon University
Pittsburgh, United States
6 h-index
19 publications
856 citations
ETH Zurich
Zurich, Switzerland
6 h-index
27 publications
642 citations
University of Michigan
Ann Arbor, United States
6 h-index
21 publications
5.7K citations
KU Leuven
Leuven, Belgium
5 h-index
9 publications
944 citations

The University of Sydney
Sydney, Australia
5 h-index
9 publications
889 citations
Purdue University West Lafayette
West Lafayette, United States
5 h-index
5 publications
319 citations
1–8 of 298
15 publications · 539 citations
14
h-index
7 publications · 323 citations
9
h-index
8 publications · 478 citations
8
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Repository · 8 publications · 223 citations
8
h-index
4 publications · 265 citations
7
h-index
1–5