Hierarchical Localization is a landmark-based localization method that organizes spatial references into multiple levels of abstraction to enable efficient and scalable pose estimation by first coarsely identifying regions and then refining localization within the selected region.
64
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3.1K
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224
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88
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Publications per year
2017–2026
29
Parents
Publications
64
Mapping Large Loops with a Single Hand-Held Camera
Laura A. Clemente, Andrew J. Davison, Ian Reid et al. · 2007 · 242 citations · Full text
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Authors
224
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1–5 of 224
Institutions
88
Carnegie Mellon University
Pittsburgh, United States
5 h-index
24 publications
952 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
4 h-index
11 publications
855 citations
Universitat de Miguel Hernández d'Elx
Elche, Spain
3 h-index
12 publications
182 citations
Universidad de Zaragoza
Zaragoza, Spain
3 h-index
11 publications
2K citations
Konkuk University
Seoul, South Korea
2 h-index
2 publications
58 citations
KU Leuven
Leuven, Belgium
2 h-index
6 publications
201 citations
Queensland University of Technology
Brisbane, Australia
2 h-index
6 publications
144 citations
Harbin Institute of Technology
Harbin, China
2 h-index
2 publications
30 citations
1–8 of 88
Venues
- Robotics and Autonomous Systems
3 publications · 83 citations
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- Expert Systems with Applications
2 publications · 50 citations
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- arXiv (Cornell University)
Repository · 2 publications · 85 citations
2
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- IEEE Transactions on Pattern Analysis and Machine Intelligence
TPAMI · 2 publications · 79 citations
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- IEEE Transactions on Robotics
2 publications · 78 citations
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