Vehicle State Estimation
Vehicle State Estimation is a computational framework within the domain of vehicle dynamics that enables the real-time determination of key dynamic states—such as velocity, yaw rate, and roll angle—by fusing sensor measurements with mathematical models to enhance accuracy and reliability in stability control systems.
1.5K
Publications
65.1K
Citations
3.5K
Authors
932
Institutions
Publications per year
2017–2026
559
Parents
1.5K
End-to-End Learning of Driving Models from Large-Scale Video Datasets
Huazhe Xu, Yang Gao, Fisher Yu et al. · 2017 · 866 citations
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Centre National de la Recherche Scientifique
Paris, France
31 h-index
133 publications
6.9K citations
Tsinghua University
Beijing, China
27 h-index
115 publications
6.9K citations
University of Michigan
Ann Arbor, United States
24 h-index
74 publications
5.8K citations
Jilin University
Changchun, China
24 h-index
130 publications
4.8K citations

Beijing Institute of Technology
Beijing, China
24 h-index
103 publications
5.4K citations
University of California, Berkeley
Berkeley, United States
23 h-index
73 publications
7.2K citations

Hanyang University
Seoul, South Korea
23 h-index
98 publications
4.6K citations
Tongji University
Shanghai, China
23 h-index
134 publications
8.2K citations
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80 publications · 6K citations
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59 publications · 4K citations
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57 publications · 3.9K citations
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54 publications · 1.7K citations
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30 publications · 2.4K citations
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