Target Tracking Fusion
Target Tracking Fusion is a multisensor data integration framework that combines spatial and temporal observations from multiple sensors to estimate the trajectory and state of a moving object, distinguished by its emphasis on temporal coherence, dynamic motion modeling, and probabilistic association of target identities across heterogeneous sensor inputs.
56
Publications
2.5K
Citations
177
Authors
87
Institutions
Publications per year
2017–2026
17
Variants
Multi-sensor Target Tracking
Parents
56
Jingjing Xiao, Rustam Stolkin, Yuqing Gao et al. · IEEE Transactions on Cybernetics · 2017 · 77 citations · Full text
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NATO Centre for Maritime Research and Experimentation, Italy
2 publications · 61 citations
2
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2
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1–5 of 177
87
University of Connecticut
Storrs, United States
4 h-index
5 publications
1.1K citations
Nanyang Technological University
Singapore, Singapore
3 h-index
5 publications
279 citations

Northwestern Polytechnical University
Xi'an, China
3 h-index
7 publications
260 citations

Zhejiang University of Technology
Hangzhou, China
2 h-index
5 publications
346 citations

University of Electronic Science and Technology of China
Chengdu, China
2 h-index
5 publications
277 citations
Ministry of Natural Resources
Beijing, China
2 h-index
2 publications
35 citations
University of Technology Sydney
Sydney, Australia
2 h-index
2 publications
75 citations

Beijing Institute of Technology
Beijing, China
2 h-index
11 publications
189 citations
1–8 of 87
4 publications · 635 citations
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4 publications · 82 citations
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Conference · 3 publications · 99 citations
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2 publications · 75 citations
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2 publications · 48 citations
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