Kalman Filter-based Localization
Kalman Filter-Based Localization is a state estimation method that employs the Kalman filter to recursively predict and update the position and velocity of a dynamic system by minimizing the mean squared error in the presence of noisy sensor measurements.
577
Publications
24.5K
Citations
1.6K
Authors
574
Institutions
Publications per year
2017–2026
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574

Centre National de la Recherche Scientifique
Paris, France
13 h-index
32 publications
1.6K citations

The University of Sydney
Sydney, Australia
11 h-index
18 publications
927 citations

Northeastern University
Shenyang, China
11 h-index
42 publications
955 citations
China University of Mining and Technology
Xuzhou, China
9 h-index
28 publications
1.3K citations

Southeast University
Nanjing, China
9 h-index
22 publications
986 citations
Pusan National University
Busan, South Korea
8 h-index
30 publications
857 citations

Hanyang University
Seoul, South Korea
7 h-index
20 publications
602 citations

Harbin Engineering University
Harbin, China
7 h-index
23 publications
827 citations
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30 publications · 689 citations
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18 publications · 797 citations
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8 publications · 398 citations
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8 publications · 562 citations
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