Scalable Sensor Fusion is a distributed data integration framework that enables the efficient and coherent combination of multi-source sensor observations in a manner that maintains performance and accuracy as network size and data volume grow.
13
Publications
2.6K
Citations
45
Authors
22
Institutions
Publications per year
2017–2026
4
Parents
Publications
13
1–5 of 13
Authors
45
- RO
2
h-index
- CBChristopher B. Anderson
Carnegie Institution for Science, United States
1 publications · 332 citations
1
h-index
- CC
1
h-index
- KC
1
h-index
- WS
1
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1–5 of 45
Institutions
22
Dartmouth College
Hanover, United States
2 h-index
2 publications
2K citations
George Mason University
Fairfax, United States
2 h-index
3 publications
44 citations
K Lab (United States)
Hillsborough, United States
1 h-index
3 publications
48 citations
Jet Propulsion Laboratory
Pasadena, United States
1 h-index
2 publications
664 citations
United States Naval Research Laboratory
Washington, United States
1 h-index
1 publications
16 citations
University of Shanghai for Science and Technology
Shanghai, China
1 h-index
2 publications
130 citations
La Trobe University
Melbourne, Australia
1 h-index
3 publications
69 citations
Swinburne University of Technology
Melbourne, Australia
1 h-index
1 publications
65 citations
1–8 of 22
Venues
- Remote Sensing of Environment
1 publications · 332 citations
1
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- Information Sciences
1 publications · 13 citations
1
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- IEEE Transactions on Cybernetics
1 publications · 65 citations
1
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- Journal of Network and Computer Applications
JNCA · 1 publications · 27 citations
1
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- Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
1 publications · 16 citations
1
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1–5