Information-theoretic Coverage
Information-Theoretic Coverage is a coverage control paradigm that employs information-theoretic measures, such as mutual information or entropy reduction, to quantify and optimize the value of sensor or robotic exploration in terms of acquired knowledge about a spatially distributed phenomenon.
13
Publications
818
Citations
47
Authors
33
Institutions
Publications per year
2017–2026
4
Parents
13
Laura Hernández-Domínguez, Sylvie Ratté, Gerardo Sierra et al. · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · 2018 · 118 citations · Full text
Medicine, Neurology, Psychology +17
Cong Yu, H. V. Jagadish · Very Large Data Bases · 2006 · 103 citations
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Tsinghua University
Beijing, China
3 h-index
5 publications
208 citations
International University of Rabat
Salé, Morocco
1 h-index
1 publications
17 citations
Nanyang Technological University
Singapore, Singapore
1 h-index
1 publications
56 citations

École de Technologie Supérieure
Montreal, Canada
1 h-index
2 publications
236 citations
University of Michigan
Ann Arbor, United States
1 h-index
2 publications
206 citations
Universidad Nacional Autónoma de México
Mexico City, Mexico
1 h-index
1 publications
118 citations
RWTH Aachen University
Aachen, Germany
1 h-index
2 publications
20 citations
Teesside University
Middlesbrough, United Kingdom
1 h-index
2 publications
112 citations
1–8 of 33
2 publications · 43 citations
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h-index
1 publications · 10 citations
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TFS · 1 publications · 145 citations
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DADM · 1 publications · 118 citations
1
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1 publications · 156 citations
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