Joint State Estimation
Joint State Estimation is a multisensor data integration framework that simultaneously fuses time-synchronized measurements from multiple sensors to estimate a shared system state, distinguishing itself from sequential or isolated estimation approaches by jointly resolving both state variables and synchronization parameters within a unified optimization or filtering process.
546
Publications
26.4K
Citations
1.4K
Authors
553
Institutions
Publications per year
2017–2026
236
546
1–5 of 546
1.4K
8
h-index
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1–5 of 1.4K
553
ETH Zurich
Zurich, Switzerland
14 h-index
34 publications
4.6K citations

Northwestern Polytechnical University
Xi'an, China
12 h-index
39 publications
1.4K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
11 h-index
18 publications
1.4K citations

Beijing Institute of Technology
Beijing, China
11 h-index
25 publications
1.5K citations
Tsinghua University
Beijing, China
10 h-index
26 publications
2K citations
Stanford University
Stanford, United States
10 h-index
21 publications
662 citations
Jiangnan University
Wuxi, China
9 h-index
22 publications
1.5K citations

Southeast University
Nanjing, China
8 h-index
11 publications
284 citations
1–8 of 553
20 publications · 1.3K citations
17
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13 publications · 934 citations
14
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13 publications · 819 citations
12
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MSSP · 11 publications · 642 citations
12
h-index
10 publications · 1.2K citations
10
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1–5