Multi-Sensor Fusion Localization is a localization framework that integrates data from multiple heterogeneous sensors through probabilistic or optimization-based methods to achieve more accurate, robust, and consistent pose estimation than single-sensor systems.
332
Publications
14K
Citations
1.2K
Authors
404
Institutions
Publications per year
2017–2026
186
Parents
Publications
332
The spherical simplex unscented transformation
S.J. Julier · 2004 · 335 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
1–5 of 332
Authors
1.2K
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Institutions
404
Nanyang Technological University
Singapore, Singapore
11 h-index
42 publications
4.5K citations
Wuhan University
Wuhan, China
10 h-index
37 publications
1.7K citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
9 h-index
33 publications
1.5K citations
Shanghai Jiao Tong University
Shanghai, China
9 h-index
26 publications
1.1K citations
Centre National de la Recherche Scientifique
Paris, France
9 h-index
24 publications
1.3K citations
Tsinghua University
Beijing, China
9 h-index
33 publications
1.8K citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
8 h-index
21 publications
696 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
7 h-index
12 publications
220 citations
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Venues
- Sensors
26 publications · 1.3K citations
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- IEEE Sensors Journal
14 publications · 796 citations
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- IEEE Access
10 publications · 325 citations
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- IEEE Robotics and Automation Letters
10 publications · 499 citations
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- IEEE Transactions on Instrumentation and Measurement
6 publications · 180 citations
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