Probabilistic Data Association is a data association method that belongs to the class of probabilistic filtering techniques and distinguishes itself by computing the probability of correspondence between sensor observations and predicted target states, incorporating all feasible associations weighted by their likelihoods to mitigate uncertainty in cluttered environments.
523
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393
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2017–2026
91
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Publications
523
The probabilistic data association filter
Yaakov Bar‐Shalom, Fred Daum, Jim Huang · IEEE Control Systems · 2009 · 742 citations
1–5 of 523
Authors
987
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1–5 of 987
Institutions
393
University of Connecticut
Storrs, United States
36 h-index
166 publications
11.1K citations
The University of Melbourne
Melbourne, Australia
19 h-index
49 publications
5.2K citations
McMaster University
Hamilton, Canada
19 h-index
45 publications
2.2K citations
Defence Science and Technology Group
Canberra, Australia
15 h-index
28 publications
1.9K citations
Hanyang University
Seoul, South Korea
11 h-index
32 publications
1.3K citations
Northwestern Polytechnical University
Xi'an, China
10 h-index
35 publications
1.2K citations
Naval Undersea Warfare Center
Newport, United States
10 h-index
11 publications
459 citations
University of California, Berkeley
Berkeley, United States
9 h-index
17 publications
1K citations
1–8 of 393
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- IEEE Transactions on Aerospace and Electronic Systems
81 publications · 5.4K citations
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- Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
25 publications · 792 citations
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- IEEE Transactions on Signal Processing
18 publications · 2.1K citations
17
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- IEEE Transactions on Automatic Control
11 publications · 1.4K citations
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- Sensors
14 publications · 268 citations
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