Keyframe-based Mapping
Keyframe-Based Mapping is a visual simultaneous localization and mapping methodology that constructs and maintains a sparse map of the environment by selectively retaining keyframe images based on criterion-driven sampling, thereby reducing computational redundancy while preserving critical spatial and observational information.
54
Publications
3.9K
Citations
167
Authors
61
Institutions
Publications per year
2017–2026
29
Parents
54
Parallel Tracking and Mapping on a camera phone
Georg Klein, David W. Murray · 2009 · 522 citations
Real-time monocular SLAM: Why filter?
Hauke Strasdat, J. M. M. Montiel, Andrew J. Davison · 2010 · 460 citations
Scale Drift-Aware Large Scale Monocular SLAM
H. Strasdat, J. M. M. Montiel, A. Davison · 2010 · 307 citations · Full text
Fast relocalisation and loop closing in keyframe-based SLAM
Raul Mur-Artal, Juan D. Tardós · 2014 · 265 citations
BALM: Bundle Adjustment for Lidar Mapping
Zheng Liu, Fu Zhang · IEEE Robotics and Automation Letters · 2021 · 217 citations
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61
ETH Zurich
Zurich, Switzerland
5 h-index
13 publications
778 citations
Universidad de Zaragoza
Zaragoza, Spain
4 h-index
6 publications
1.5K citations
University of Oxford
Oxford, United Kingdom
4 h-index
10 publications
1.4K citations
Graz University of Technology
Graz, Austria
4 h-index
11 publications
415 citations
University of Zurich
Zurich, Switzerland
2 h-index
8 publications
376 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
2 h-index
4 publications
87 citations

Imperial College London
London, United Kingdom
2 h-index
4 publications
1.5K citations
Guangdong University of Technology
Guangzhou, China
2 h-index
6 publications
134 citations
1–8 of 61
3 publications · 301 citations
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Conference · 2 publications · 71 citations
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2 publications · 69 citations
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2 publications · 56 citations
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1 publications · 29 citations
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