Plume Tracking
Plume Tracking is a distributed sensing methodology that specifically identifies, monitors, and predicts the spatiotemporal evolution of contaminant plumes in environmental media by integrating in situ sensor data with dynamic dispersion models.
190
Publications
8.3K
Citations
670
Authors
281
Institutions
Publications per year
2017–2026
34
Parents
190
Moth-inspired chemical plume tracing on an autonomous underwater vehicle
Wei Li, Jay A. Farrell, Shuo Pang et al. · IEEE Transactions on Robotics · 2006 · 262 citations
Marco Grasso, Ali Gökhan Demir, Barbara Previtali et al. · Robotics and Computer-Integrated Manufacturing · 2017 · 231 citations · Full text
Natural Sciences, Materials Engineering, Materials Science +17
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670
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281
Georgia Institute of Technology
Atlanta, United States
9 h-index
26 publications
1.2K citations
California State University, Bakersfield
Bakersfield, United States
9 h-index
15 publications
783 citations
Case Western Reserve University
Cleveland, United States
7 h-index
18 publications
688 citations
Jet Propulsion Laboratory
Pasadena, United States
6 h-index
15 publications
338 citations
University of California, Riverside
Riverside, United States
6 h-index
14 publications
2.4K citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
14 publications
706 citations

The University of Adelaide
Adelaide, Australia
5 h-index
15 publications
520 citations
University of California, Los Angeles
Los Angeles, United States
4 h-index
6 publications
358 citations
1–8 of 281
7 publications · 427 citations
7
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7 publications · 358 citations
7
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5 publications · 73 citations
5
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5 publications · 296 citations
5
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4 publications · 422 citations
4
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