Map Optimization
Map Optimization is a computational process in Visual SLAM that refinement of the estimated camera trajectory and 3D structure of the environment by minimizing geometric and photometric reprojection errors within a graph-based or bundle adjustment framework.
275
Publications
22.1K
Citations
891
Authors
322
Institutions
Publications per year
2017–2026
120
Parents
275
G<sup>2</sup>o: A general framework for graph optimization
Rainer Kümmerle, Giorgio Grisetti, Hauke Strasdat et al. · 2011 · 2K citations
Globally Consistent Range Scan Alignment for Environment Mapping
Feng Lu, Evangelos Milios · Autonomous Robots · 1997 · 1.3K citations
Computing, Geoinformatics, Geodesy +11
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322

University of Freiburg
Freiburg im Breisgau, Germany
13 h-index
43 publications
10K citations
ETH Zurich
Zurich, Switzerland
13 h-index
36 publications
2K citations
Carnegie Mellon University
Pittsburgh, United States
11 h-index
39 publications
1.9K citations
Stanford University
Stanford, United States
10 h-index
16 publications
2.6K citations
University of Technology Sydney
Sydney, Australia
8 h-index
19 publications
993 citations

The University of Sydney
Sydney, Australia
8 h-index
11 publications
6K citations
Massachusetts Institute of Technology
Cambridge, United States
6 h-index
12 publications
870 citations
University of Michigan
Ann Arbor, United States
5 h-index
16 publications
980 citations
1–8 of 322
17 publications · 1.2K citations
15
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8 publications · 553 citations
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IJRR · 5 publications · 842 citations
5
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Conference · 4 publications · 171 citations
4
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TOG · 4 publications · 450 citations
4
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