Localization Using Lidar
Localization Using LiDAR is a robotic localization method that determines a robot's position and orientation within an environment by matching real-time LiDAR-derived three-dimensional point cloud data against a prior map or through simultaneous localization and mapping, distinguished from other localization techniques by its reliance on high-resolution laser scanning for precise, vision-independent spatial awareness.
380
Publications
19.1K
Citations
1.3K
Authors
373
Institutions
Publications per year
2017–2026
274
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380
Real-time loop closure in 2D LIDAR SLAM
Damon Kohler, Holger Rapp, Daniel Andor · 2016 · 1.9K citations
L3-Net: Towards Learning Based LiDAR Localization for Autonomous Driving
Weixin Lu, Yao Zhou, Guowei Wan et al. · 2019 · 306 citations
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University of Oxford
Oxford, United Kingdom
11 h-index
30 publications
2.3K citations
University of Bonn
Bonn, Germany
9 h-index
34 publications
1.8K citations
Wuhan University
Wuhan, China
8 h-index
25 publications
672 citations
Finnish Geospatial Research Institute
Espoo, Finland
7 h-index
33 publications
2.4K citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
16 publications
468 citations
University of Michigan
Ann Arbor, United States
7 h-index
21 publications
2.6K citations

University of Freiburg
Freiburg im Breisgau, Germany
6 h-index
21 publications
1.1K citations
Guangdong University of Technology
Guangzhou, China
6 h-index
17 publications
783 citations
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26 publications · 1K citations
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16 publications · 665 citations
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8 publications · 429 citations
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JFR · 8 publications · 375 citations
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6 publications · 341 citations
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