Bayesian Data Association
Bayesian Data Association is a probabilistic data association framework that employs Bayesian inference to compute the posterior probabilities of associations between observed measurements and target tracks, distinguishing itself by rigorously incorporating prior knowledge and uncertainty in dynamic multi-object environments.
89
Publications
10.7K
Citations
201
Authors
105
Institutions
Publications per year
2017–2026
13
Parents
89
1–5 of 89
201
Fraunhofer Institute for Communication, Information Processing and Ergonomics, Germany
6 publications · 567 citations
6
h-index
4
h-index
3
h-index
3
h-index
Fraunhofer Institute for Communication, Information Processing and Ergonomics, Germany
2 publications · 534 citations
2
h-index
1–5 of 201
105
Fraunhofer Institute for Communication, Information Processing and Ergonomics
Wachtberg, Germany
6 h-index
10 publications
1.2K citations

The University of Adelaide
Adelaide, Australia
5 h-index
5 publications
569 citations
Defence Science and Technology Group
Canberra, Australia
4 h-index
5 publications
686 citations

The University of Melbourne
Melbourne, Australia
3 h-index
6 publications
332 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
6 publications
148 citations
University of California San Diego
San Diego, United States
3 h-index
5 publications
106 citations
National University of Singapore
Singapore, Singapore
2 h-index
4 publications
48 citations
Queen Mary University of London
London, United Kingdom
2 h-index
6 publications
735 citations
1–8 of 105
7 publications · 587 citations
7
h-index
5 publications · 642 citations
5
h-index
4 publications · 86 citations
4
h-index
Repository · 3 publications · 75 citations
3
h-index
2 publications · 46 citations
2
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1–5