Loop closing is a visual SLAM technique that detects and corrects cumulative drift by recognizing previously visited locations and enforcing spatial consistency through pose graph optimization.
423
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49.9K
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365
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2017–2026
208
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Publications
423
Real-time loop closure in 2D LIDAR SLAM
Damon Kohler, Holger Rapp, Daniel Andor · 2016 · 1.9K citations
1–5 of 423
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365
Universidad de Zaragoza
Zaragoza, Spain
18 h-index
48 publications
41.9K citations
Massachusetts Institute of Technology
Cambridge, United States
13 h-index
47 publications
5.1K citations
Democritus University of Thrace
Komotini, Greece
12 h-index
31 publications
1.2K citations
Wuhan University
Wuhan, China
11 h-index
33 publications
730 citations
University of Alberta
Edmonton, Canada
11 h-index
17 publications
1K citations
University of Freiburg
Freiburg im Breisgau, Germany
11 h-index
30 publications
3.7K citations
University of Oxford
Oxford, United Kingdom
11 h-index
27 publications
6.9K citations
ETH Zurich
Zurich, Switzerland
10 h-index
19 publications
1.2K citations
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- IEEE Robotics and Automation Letters
24 publications · 1.7K citations
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- IEEE Transactions on Robotics
17 publications · 15.9K citations
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- The International Journal of Robotics Research
IJRR · 13 publications · 3.4K citations
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- Sensors
13 publications · 383 citations
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- arXiv (Cornell University)
Repository · 12 publications · 245 citations
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