Lidar-based Avoidance
LiDAR-Based Avoidance is a robotic navigation strategy that uses light detection and ranging (LiDAR) sensor data to detect, localize, and dynamically circumvent obstacles in real time, distinguishing itself from other avoidance methods through its reliance on high-resolution, three-dimensional environmental point cloud measurements.
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1.5K
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158
Authors
49
Institutions
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2017–2026
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Lidar-based Obstacle Avoidance for the Autonomous Mobile Robot
Dony Hutabarat, Muhammad Rivai, Djoko Purwanto et al. · 2019 · 73 citations
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Jet Propulsion Laboratory
Pasadena, United States
4 h-index
15 publications
976 citations
California Institute of Technology
Pasadena, United States
3 h-index
6 publications
751 citations
University of Michigan
Ann Arbor, United States
2 h-index
6 publications
219 citations

Langley Research Center
Hampton, United States
2 h-index
8 publications
112 citations
RMIT University
Melbourne, Australia
2 h-index
8 publications
552 citations
United States Army Combat Capabilities Development Command
Aberdeen Proving Ground, United States
2 h-index
3 publications
109 citations

Parthenope University of Naples
Naples, Italy
2 h-index
6 publications
108 citations
Johnson Space Center
Houston, United States
2 h-index
6 publications
87 citations
1–8 of 49
2 publications · 91 citations
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Repository · 2 publications · 92 citations
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1 publications · 16 citations
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Conference · 1 publications · 14 citations
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1 publications · 25 citations
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