Consensus Fusion
Consensus Fusion is a decision-level fusion methodology in multi-sensor tracking systems that belongs to the class of track-to-track fusion techniques and is distinguished by its iterative exchange of local estimates among sensors to achieve global agreement on fused tracks through mutual adjustment of tracking information.
50
Publications
2.8K
Citations
147
Authors
81
Institutions
Publications per year
2017–2026
21
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147
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81

Northwestern Polytechnical University
Xi'an, China
4 h-index
10 publications
682 citations

Shanghai Jiao Tong University
Shanghai, China
4 h-index
6 publications
224 citations
Dynetics (United States)
Huntsville, United States
2 h-index
2 publications
79 citations
SELEX Sistemi Integrati
Rome, Italy
2 h-index
2 publications
95 citations
Tsinghua University
Beijing, China
2 h-index
3 publications
216 citations

York University
Toronto, Canada
2 h-index
3 publications
72 citations
University of Florence
Florence, Italy
2 h-index
5 publications
250 citations

University of Electronic Science and Technology of China
Chengdu, China
2 h-index
2 publications
50 citations
1–8 of 81
3 publications · 100 citations
3
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Repository · 2 publications · 35 citations
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2 publications · 44 citations
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2 publications · 55 citations
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2 publications · 70 citations
2
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1–5