Multi-sensor Kalman Fusion
Multi-Sensor Kalman Fusion is a state estimation framework that integrates measurements from multiple heterogeneous sensors within a unified Kalman filtering architecture to improve estimation accuracy and robustness by exploiting the complementary characteristics of the sensor data.
212
Publications
10.8K
Citations
677
Authors
242
Institutions
Publications per year
2017–2026
76
Parents
212
1–5 of 212
677
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242

Heilongjiang University
Harbin, China
11 h-index
36 publications
1.7K citations
Tsinghua University
Beijing, China
6 h-index
16 publications
2.2K citations

Harbin Institute of Technology
Harbin, China
5 h-index
15 publications
274 citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
9 publications
386 citations
University of California, Berkeley
Berkeley, United States
4 h-index
9 publications
323 citations

Southeast University
Nanjing, China
3 h-index
5 publications
617 citations

Shiraz University
Shiraz, Iran
3 h-index
7 publications
340 citations

King Abdulaziz University
Jeddah, Saudi Arabia
3 h-index
5 publications
412 citations
1–8 of 242
13 publications · 758 citations
13
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5 publications · 189 citations
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5 publications · 181 citations
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5 publications · 314 citations
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5 publications · 818 citations
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