Robust Sensor Fusion
Robust Sensor Fusion is a sensor fusion framework that maintains accurate and consistent state estimation in the presence of sensor faults, communication delays, or environmental uncertainties by adaptively weighting or rejecting unreliable measurements while preserving convergence and stability guarantees under non-ideal conditions.
205
Publications
11.5K
Citations
655
Authors
241
Institutions
Publications per year
2017–2026
94
205
A robust and modular multi-sensor fusion approach applied to MAV navigation
Simon Lynen, Markus Achtelik, Margarita Chli et al. · 2013 · 572 citations · Full text
Optimal Kalman filtering fusion with cross-correlated sensor noises
Enbin Song, Yunmin Zhu, Jie Zhou et al. · Automatica · 2007 · 217 citations
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241

Heilongjiang University
Harbin, China
18 h-index
56 publications
2.7K citations

University of Electronic Science and Technology of China
Chengdu, China
5 h-index
10 publications
547 citations
Heilongjiang University of Science and Technology
Harbin, China
5 h-index
8 publications
223 citations
Technical University of Munich
Munich, Germany
5 h-index
11 publications
260 citations

Northwestern Polytechnical University
Xi'an, China
5 h-index
20 publications
1.2K citations

Brunel University of London
London, United Kingdom
5 h-index
6 publications
382 citations

Donghua University
Shanghai, China
5 h-index
8 publications
700 citations

King Abdulaziz University
Jeddah, Saudi Arabia
4 h-index
7 publications
598 citations
1–8 of 241
12 publications · 757 citations
12
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10 publications · 901 citations
10
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8 publications · 610 citations
8
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6 publications · 258 citations
6
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5 publications · 314 citations
5
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