Multimodal Sensor Fusion
Multimodal Sensor Fusion is a computational framework that integrates heterogeneous sensory data from multiple distinct modalities to achieve enhanced perception and situational awareness in marine robotic systems, distinguishing itself from single-modal approaches through the synergistic combination of complementary sensor inputs.
478
Publications
21.8K
Citations
1.9K
Authors
606
Institutions
Publications per year
2017–2026
275
Parents
478
1–5 of 478
1.9K
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606
Nanyang Technological University
Singapore, Singapore
10 h-index
38 publications
4K citations
ETH Zurich
Zurich, Switzerland
10 h-index
45 publications
4.3K citations
Tsinghua University
Beijing, China
9 h-index
41 publications
4.2K citations
Technical University of Munich
Munich, Germany
7 h-index
20 publications
1.2K citations

Zhejiang University
Hangzhou, China
7 h-index
14 publications
592 citations
University of Bonn
Bonn, Germany
7 h-index
37 publications
1.8K citations

Shanghai Jiao Tong University
Shanghai, China
6 h-index
23 publications
614 citations
University of California San Diego
San Diego, United States
6 h-index
18 publications
965 citations
1–8 of 606
27 publications · 1.8K citations
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21 publications · 1.4K citations
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13 publications · 419 citations
11
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12 publications · 911 citations
11
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11 publications · 264 citations
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