Model-based Localization
Model-Based Localization is a localization approach that determines the position of an underwater entity by leveraging a predefined mathematical or physical model of the propagation environment and sensor characteristics to infer location from measured signals.
64
Publications
4.3K
Citations
204
Authors
112
Institutions
Publications per year
2017–2026
26
Parents
64
Simultaneously Localize, Segment and Rank the Camouflaged Objects
Yunqiu Lv, Jing Zhang, Yuchao Dai et al. · 2021 · 514 citations
Computing, Computer Science, Zoology +14
Fast and accurate shape-based registration
David Simón, Takeo Kanade · 1996 · 137 citations
1–5 of 64
204
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Scripps Institution of Oceanography, United States
2 publications · 30 citations
2
h-index
1–5 of 204
112

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
3 h-index
5 publications
186 citations
Singapore University of Technology and Design
Singapore, Singapore
3 h-index
10 publications
302 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
8 publications
209 citations
University of Oxford
Oxford, United Kingdom
3 h-index
5 publications
2.6K citations

Indian Institute of Technology Kanpur
Kanpur, India
2 h-index
3 publications
344 citations
Science Applications International Corporation (United States)
McLean, United States
2 h-index
5 publications
132 citations

Shanghai University
Shanghai, China
2 h-index
10 publications
315 citations

University of Hawaiʻi at Mānoa
Honolulu, United States
2 h-index
3 publications
54 citations
1–8 of 112
JASA · 4 publications · 119 citations
4
h-index
3 publications · 201 citations
3
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2 publications · 46 citations
2
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2 publications · 114 citations
2
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2 publications · 89 citations
2
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1–5