Sensor Fusion Optimization
Sensor Fusion Optimization is a computational framework that integrates and refines multimodal sensor data through algorithmic techniques to enhance the accuracy, latency, and robustness of augmented reality systems by minimizing redundancy and maximizing complementary information across heterogeneous sensing sources.
30
Publications
2.4K
Citations
111
Authors
49
Institutions
Publications per year
2017–2026
14
30
Indoor localization via multi-modal sensing on smartphones
Han Xu, Zheng Yang, Zimu Zhou et al. · 2016 · 71 citations · Full text
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Hong Kong University of Science and Technology
Hong Kong, Hong Kong
3 h-index
8 publications
334 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
2 h-index
4 publications
132 citations
Tsinghua University
Beijing, China
2 h-index
5 publications
304 citations
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
Cologne, Germany
1 h-index
2 publications
114 citations

University of Oulu
Oulu, Finland
1 h-index
1 publications
30 citations

Chinese Academy of Sciences
Beijing, China
1 h-index
2 publications
20 citations

Colorado School of Mines
Golden, United States
1 h-index
1 publications
103 citations
The University of Tokyo
Tokyo, Japan
1 h-index
1 publications
27 citations
1–8 of 49
2 publications · 105 citations
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1 publications · 103 citations
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1 publications · 10 citations
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1 publications · 10 citations
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1 publications · 54 citations
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