Adaptive Sensor Weighting
Adaptive Sensor Weighting is a context-aware fusion method that dynamically assigns varying levels of influence to individual sensors based on their real-time reliability, environmental conditions, and task-specific relevance, thereby optimizing the integration of heterogeneous sensor data.
14
Publications
414
Citations
55
Authors
18
Institutions
Publications per year
2017–2026
9
Parents
14
Multi-Target DoA Estimation with an Audio-Visual Fusion Mechanism
Xinyuan Qian, Maulik C. Madhavi, Zexu Pan et al. · 2021 · 49 citations
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Nankai University
Tianjin, China
2 h-index
10 publications
406 citations

National University of Defense Technology
Changsha, China
1 h-index
8 publications
208 citations

Nanjing University of Aeronautics and Astronautics
Nanjing, China
1 h-index
2 publications
124 citations
Lanzhou University
Lanzhou, China
1 h-index
1 publications
13 citations
Tufts University
Medford, United States
1 h-index
2 publications
20 citations

University of Western Macedonia
Kozani, Greece
1 h-index
1 publications
21 citations
National University of Singapore
Singapore, Singapore
1 h-index
5 publications
245 citations
The University of Texas at San Antonio
San Antonio, United States
1 h-index
1 publications
10 citations
1–8 of 18
1 publications · 66 citations
1
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1 publications · 21 citations
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APJ · 1 publications · 10 citations
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1 publications · 10 citations
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1 publications · 15 citations
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1–5