Heterogeneous Sensor Fusion
Heterogeneous Sensor Fusion is a multisensor data integration methodology that combines data from sensors of different physical modalities or measurement principles to achieve improved accuracy, robustness, and complementary information extraction beyond what homogeneous fusion can provide.
100
Publications
3.5K
Citations
398
Authors
163
Institutions
Publications per year
2017–2026
50
Parents
100
A unified view on beamformers for M/EEG source reconstruction
Britta U. Westner, Sarang S. Dalal, Alexandre Gramfort et al. · NeuroImage · 2021 · 126 citations · Full text
1–5 of 100
398
2
h-index
Institut Franco-Allemand de Recherches de Saint-Louis, France
2 publications · 63 citations
2
h-index
Institut Franco-Allemand de Recherches de Saint-Louis, France
2 publications · 63 citations
2
h-index
2
h-index
2
h-index
1–5 of 398
163
Norwegian University of Science and Technology
Trondheim, Norway
3 h-index
9 publications
377 citations
Virginia Tech
Blacksburg, United States
3 h-index
7 publications
217 citations
China University of Geosciences
Wuhan, China
3 h-index
8 publications
241 citations
Nanyang Technological University
Singapore, Singapore
3 h-index
16 publications
517 citations

Xi'an Jiaotong University
Xi'an, China
2 h-index
2 publications
44 citations

Peking University
Beijing, China
2 h-index
4 publications
88 citations
Fraunhofer Institute for High Frequency Physics and Radar Techniques
Wachtberg, Germany
2 h-index
10 publications
315 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
2 h-index
4 publications
323 citations
1–8 of 163
5 publications · 137 citations
5
h-index
2 publications · 41 citations
2
h-index
2 publications · 60 citations
2
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2 publications · 114 citations
2
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2 publications · 63 citations
2
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1–5