Simultaneous Localization
Simultaneous Localization is a robotics localization paradigm in which an autonomous system continuously estimates its own pose within a global or local reference frame while concurrently and coherently integrating co-acquired sensor information—typically used for on-line mapping or environment modeling—so that the robot and environment states are inferred in a coupled, real-time fashion.
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Authors
1.3K
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2017–2026
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The University of Sydney
Sydney, Australia
42 h-index
157 publications
34.2K citations
Massachusetts Institute of Technology
Cambridge, United States
41 h-index
164 publications
35.3K citations
Carnegie Mellon University
Pittsburgh, United States
39 h-index
155 publications
28.9K citations
ETH Zurich
Zurich, Switzerland
33 h-index
155 publications
33K citations
Australian Centre for Robotic Vision
Brisbane, Australia
32 h-index
104 publications
30K citations

University of Freiburg
Freiburg im Breisgau, Germany
31 h-index
122 publications
31.5K citations
University of Oxford
Oxford, United Kingdom
31 h-index
82 publications
15.3K citations
Universidad de Zaragoza
Zaragoza, Spain
30 h-index
98 publications
20.6K citations
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76 publications · 16.2K citations
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IJRR · 72 publications · 12.7K citations
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87 publications · 6.4K citations
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105 publications · 3.3K citations
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JFR · 40 publications · 4.1K citations
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