State-space Tracking Models
State-Space Tracking Models is a mathematical framework for dynamic estimation that represents the evolution of a target's state over time using a system of latent state equations and observation equations, distinguished by its explicit modeling of temporal dependencies and uncertainties in both process and measurement domains.
279
Publications
16.4K
Citations
633
Authors
289
Institutions
Publications per year
2017–2026
66
Parents
279
1–5 of 279
633
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University of New Orleans
New Orleans, United States
13 h-index
25 publications
6.7K citations
University of Connecticut
Storrs, United States
10 h-index
19 publications
2.5K citations

Linköping University
Linköping, Sweden
7 h-index
14 publications
1K citations

The University of Melbourne
Melbourne, Australia
6 h-index
9 publications
595 citations

Indian Institute of Science Bangalore
Bengaluru, India
6 h-index
10 publications
497 citations
University of Cambridge
Cambridge, United Kingdom
5 h-index
9 publications
374 citations

Xi'an Jiaotong University
Xi'an, China
5 h-index
6 publications
426 citations

Naval Surface Warfare Center
Washington, United States
5 h-index
12 publications
261 citations
1–8 of 289
50 publications · 7.3K citations
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13 publications · 601 citations
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11 publications · 889 citations
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Conference · 6 publications · 216 citations
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6 publications · 357 citations
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