Localization Fusion
Localization Fusion is a multisensor data integration methodology that combines spatial and temporal information from multiple sensors to estimate the precise position and orientation of a target entity, distinguished by its emphasis on integrating heterogeneous localization inputs to enhance accuracy, robustness, and consistency in dynamic environments.
71
Publications
3K
Citations
253
Authors
97
Institutions
Publications per year
2017–2026
33
Parents
71
Bayesian filtering for location estimation
D. Fox, Jeffrey Hightower, Lin Liao et al. · IEEE Pervasive Computing · 2003 · 706 citations
A Survey on Fusion-Based Indoor Positioning
Xiansheng Guo, Nirwan Ansari, Fangzi Hu et al. · IEEE Communications Surveys & Tutorials · 2019 · 262 citations · Full text
Fuzzy adaptive Kalman filtering for INS/GPS data fusion
Jurek Z. Sąsiadek, Qiuying Wang, M.B. Zeremba · 2002 · 134 citations
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97

Carleton University
Ottawa, Canada
5 h-index
11 publications
387 citations
China University of Mining and Technology
Xuzhou, China
4 h-index
11 publications
208 citations

Central South University
Changsha, China
2 h-index
4 publications
59 citations

University of Science and Technology Beijing
Beijing, China
2 h-index
4 publications
82 citations

University of Electronic Science and Technology of China
Chengdu, China
2 h-index
7 publications
1.2K citations
Commissariat à l'Énergie Atomique et aux Énergies Alternatives
Paris, France
2 h-index
4 publications
59 citations

Hunan University
Changsha, China
2 h-index
9 publications
212 citations

Université Paris Sciences et Lettres
Paris, France
2 h-index
6 publications
90 citations
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4 publications · 60 citations
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3 publications · 111 citations
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3 publications · 61 citations
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FGCS · 2 publications · 58 citations
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2 publications · 51 citations
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