Decentralized Sensor Fusion
Decentralized Sensor Fusion is a sensor fusion framework in which multiple sensors independently process local measurements and exchange summarized information with neighboring nodes to achieve a globally consistent state estimate without relying on a central processing unit.
207
Publications
13.8K
Citations
400
Authors
174
Institutions
Publications per year
2017–2026
30
207
1–5 of 207
400
16
h-index
8
h-index
University of Illinois Urbana-Champaign, United States
8 publications · 1.5K citations
8
h-index
Norwegian University of Science and Technology, Norway
7 publications · 403 citations
7
h-index
7
h-index
1–5 of 400
174

University of Minnesota
Minneapolis, United States
12 h-index
24 publications
2.5K citations

The University of Sydney
Sydney, Australia
12 h-index
40 publications
1.4K citations
University of Illinois Urbana-Champaign
Urbana, United States
11 h-index
16 publications
2.7K citations
Massachusetts Institute of Technology
Cambridge, United States
11 h-index
22 publications
2.8K citations
Decision Systems (United States)
Northbrook, United States
10 h-index
19 publications
1.8K citations
Syracuse University
Syracuse, United States
10 h-index
25 publications
1K citations
University of Connecticut
Storrs, United States
10 h-index
18 publications
857 citations
Columbia University
New York, United States
8 h-index
11 publications
324 citations
1–8 of 174
21 publications · 1.9K citations
19
h-index
21 publications · 1.7K citations
18
h-index
14 publications · 2.1K citations
14
h-index
9 publications · 506 citations
9
h-index
7 publications · 160 citations
7
h-index
1–5