Localization Learning
Localization Learning is a computational framework within spatial localization that integrates sensor data and environmental context to enable a system to autonomously acquire and refine positional awareness through experience-driven adaptation.
95
Publications
4.7K
Citations
322
Authors
140
Institutions
Publications per year
2017–2026
44
Parents
95
Learning Occupancy Grid Maps with Forward Sensor Models
Sebastian Thrun · Autonomous Robots · 2003 · 472 citations
Deep Neural Networks for wireless localization in indoor and outdoor environments
Wei Zhang, Kan Liu, Weidong Zhang et al. · Neurocomputing · 2016 · 269 citations
Bayesian Landmark Learning for Mobile Robot Localization
Sebastian Thrun · Machine Learning · 1998 · 219 citations · Full text
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140
Carnegie Mellon University
Pittsburgh, United States
6 h-index
17 publications
568 citations

Beijing University of Posts and Telecommunications
Beijing, China
4 h-index
4 publications
192 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
3 h-index
6 publications
163 citations
University of Oxford
Oxford, United Kingdom
3 h-index
9 publications
239 citations

McGill University
Montreal, Canada
3 h-index
5 publications
266 citations

Queensland University of Technology
Brisbane, Australia
2 h-index
4 publications
66 citations
National University of Singapore
Singapore, Singapore
2 h-index
8 publications
240 citations

University of Alberta
Edmonton, Canada
2 h-index
5 publications
135 citations
1–8 of 140
Repository · 4 publications · 76 citations
4
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3 publications · 363 citations
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3 publications · 211 citations
3
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3 publications · 69 citations
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TMCCI · 3 publications · 136 citations
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