Adaptive Sampling of Algal Blooms Using an Autonomous Underwater Vehicle and Satellite Imagery
Author:
Affiliation:
1. KTH Royal Institute of Technology,Division of Decision and Control Systems, School of Electrical Engineering and Computer Science, and Digital Futures,Stockholm,Sweden,SE-100 44
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10252164/10252092/10252251.pdf?arnumber=10252251
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1. Efficient Navigation Aware Seabed Coverage using AUVs
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5. Performance metrics for oceanographic surveys with autonomous underwater vehicles
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1. Efficient 3D real-time adaptive AUV sampling of a river plume front;Frontiers in Marine Science;2024-01-17
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