Sensor Fusion Uncertainty
Sensor Fusion Uncertainty is a measurement construct that quantifies the epistemic and aleatoric uncertainties arising from the integration of heterogeneous sensor data in spatial perception systems, distinguishing it from individual sensor uncertainty by accounting for cross-modal correlations, weighting schemes, and fusion algorithm limitations.
106
Publications
4.3K
Citations
284
Authors
138
Institutions
Publications per year
2017–2026
42
Parents
106
Optimal Kalman filtering fusion with cross-correlated sensor noises
Enbin Song, Yunmin Zhu, Jie Zhou et al. · Automatica · 2007 · 217 citations
Sensor Data Fusion with Z-Numbers and Its Application in Fault Diagnosis
Wen Jiang, Chunhe Xie, Miaoyan Zhuang et al. · Sensors · 2016 · 145 citations · Full text
The model–data fusion pitfall: assuming certainty in an uncertain world
Trevor F. Keenan, Mariah S. Carbone, Markus Reichstein et al. · Oecologia · 2011 · 130 citations · Full text
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138

Heilongjiang University
Harbin, China
12 h-index
40 publications
1.8K citations

Northwestern Polytechnical University
Xi'an, China
7 h-index
26 publications
1.4K citations
Heilongjiang University of Science and Technology
Harbin, China
4 h-index
4 publications
137 citations

Chongqing University
Chongqing, China
3 h-index
7 publications
190 citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
3 h-index
9 publications
162 citations

Universidad de Jaén
Jaén, Spain
3 h-index
6 publications
268 citations

Harbin Engineering University
Harbin, China
2 h-index
7 publications
338 citations

Universidad de Granada
Granada, Spain
2 h-index
4 publications
432 citations
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7 publications · 355 citations
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5 publications · 385 citations
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AST · 4 publications · 171 citations
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4 publications · 101 citations
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4 publications · 215 citations
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