Track Estimation
Track Estimation is a methodological framework within the domain of multi-sensor data fusion that specifically generates and refines spatiotemporal state trajectories of moving objects by integrating disparate track-level measurements through probabilistic inference and filtering techniques.
1.3K
Publications
58.7K
Citations
3.4K
Authors
1K
Institutions
Publications per year
2017–2026
305
Parents
1.3K
1–5 of 1.3K
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University of Connecticut
Storrs, United States
30 h-index
118 publications
7.4K citations

The University of Melbourne
Melbourne, Australia
19 h-index
54 publications
3.1K citations
Defence Science and Technology Group
Canberra, Australia
18 h-index
45 publications
2K citations

McMaster University
Hamilton, Canada
16 h-index
31 publications
1.1K citations

Hanyang University
Seoul, South Korea
14 h-index
40 publications
1.3K citations

United States Air Force Research Laboratory
Wright-Patterson AFB, United States
14 h-index
25 publications
634 citations
Fraunhofer Institute for Communication, Information Processing and Ergonomics
Wachtberg, Germany
14 h-index
30 publications
1.4K citations
Universität Ulm
Ulm, Germany
13 h-index
30 publications
2.5K citations
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95 publications · 8.9K citations
44
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49 publications · 1.6K citations
26
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30 publications · 2.9K citations
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44 publications · 1.2K citations
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23 publications · 1K citations
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