Odometry is a method for estimating the position and orientation of a mobile robot over time by integrating sequential measurements from motion sensors, distinguished from other localization methods by its reliance solely on internal kinematic data without external environmental references.
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Publications per year
2017–2026
829
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1.9K
LOAM: Lidar Odometry and Mapping in Real-time
Ji Zhang, Sanjiv Singh · 2014 · 3.1K citations
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
Tixiao Shan, Brendan Englot, Drew Meyers et al. · 2020 · 2K citations
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Institutions
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Carnegie Mellon University
Pittsburgh, United States
38 h-index
161 publications
20.4K citations
ETH Zurich
Zurich, Switzerland
32 h-index
153 publications
28.2K citations
University of Oxford
Oxford, United Kingdom
29 h-index
133 publications
14.3K citations
Jet Propulsion Laboratory
Pasadena, United States
27 h-index
134 publications
11.9K citations
Massachusetts Institute of Technology
Cambridge, United States
25 h-index
79 publications
20.5K citations
Technical University of Munich
Munich, Germany
22 h-index
84 publications
10.5K citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
21 h-index
77 publications
3.8K citations
Nanyang Technological University
Singapore, Singapore
21 h-index
93 publications
4.6K citations
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Venues
- IEEE Robotics and Automation Letters
95 publications · 7.5K citations
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- IEEE Transactions on Robotics
35 publications · 10.8K citations
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- Journal of Field Robotics
JFR · 32 publications · 3.1K citations
28
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- Sensors
71 publications · 2.4K citations
28
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- The International Journal of Robotics Research
IJRR · 31 publications · 4.5K citations
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