Modeling and inspection applications of a coastal distributed autonomous sensor network
Real time in-situ measurements are essential for monitoring and understanding physical and biochemical changes within ocean environments. Phenomena of interest usually display spatial and temporal dynamics that span different scales. As a result, a combination of different vehicles, sensors, and adv...
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ftsouthampton:oai:eprints.soton.ac.uk:349802 2023-07-30T03:59:54+02:00 Modeling and inspection applications of a coastal distributed autonomous sensor network Patrikalakis, N.M. Weymouth, G.D. Kurniawati, Hanna Leighton, Joshua Papadopoulos, Georgios Valdivia y Alvarado, Pablo Taher, Tawfiq Khan, Rubaina 2012-07-04 text https://eprints.soton.ac.uk/349802/ https://eprints.soton.ac.uk/349802/1/OMAE_2012.pdf en eng https://eprints.soton.ac.uk/349802/1/OMAE_2012.pdf Patrikalakis, N.M., Weymouth, G.D., Kurniawati, Hanna, Leighton, Joshua, Papadopoulos, Georgios, Valdivia y Alvarado, Pablo, Taher, Tawfiq and Khan, Rubaina (2012) Modeling and inspection applications of a coastal distributed autonomous sensor network. International Conference on Ocean, Offshore and Arctic Engineering, Rio de Janeiro, Brazil. 01 - 06 Jul 2012. Conference or Workshop Item PeerReviewed 2012 ftsouthampton 2023-07-09T21:45:05Z Real time in-situ measurements are essential for monitoring and understanding physical and biochemical changes within ocean environments. Phenomena of interest usually display spatial and temporal dynamics that span different scales. As a result, a combination of different vehicles, sensors, and advanced control algorithms are required in oceanographic monitoring systems. In this study our group presents the design of a distributed heterogeneous autonomous sensor network that combines underwater, surface, and aerial robotic vehicles along with advanced sensor payloads, planning algorithms and learning principles to successfully operate across the scales and constraints found in coastal environments. Examples where the robotic sensor network is used to localize algal blooms and collect modeling data in the coastal regions of the island nation of Singapore and to construct 3D models of marine structures for inspection and harbor navigation are presented. The system was successfully tested in seawater environments around Singapore where the water current is around 1-2m/s. Conference Object Arctic University of Southampton: e-Prints Soton |
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University of Southampton: e-Prints Soton |
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ftsouthampton |
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English |
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Real time in-situ measurements are essential for monitoring and understanding physical and biochemical changes within ocean environments. Phenomena of interest usually display spatial and temporal dynamics that span different scales. As a result, a combination of different vehicles, sensors, and advanced control algorithms are required in oceanographic monitoring systems. In this study our group presents the design of a distributed heterogeneous autonomous sensor network that combines underwater, surface, and aerial robotic vehicles along with advanced sensor payloads, planning algorithms and learning principles to successfully operate across the scales and constraints found in coastal environments. Examples where the robotic sensor network is used to localize algal blooms and collect modeling data in the coastal regions of the island nation of Singapore and to construct 3D models of marine structures for inspection and harbor navigation are presented. The system was successfully tested in seawater environments around Singapore where the water current is around 1-2m/s. |
format |
Conference Object |
author |
Patrikalakis, N.M. Weymouth, G.D. Kurniawati, Hanna Leighton, Joshua Papadopoulos, Georgios Valdivia y Alvarado, Pablo Taher, Tawfiq Khan, Rubaina |
spellingShingle |
Patrikalakis, N.M. Weymouth, G.D. Kurniawati, Hanna Leighton, Joshua Papadopoulos, Georgios Valdivia y Alvarado, Pablo Taher, Tawfiq Khan, Rubaina Modeling and inspection applications of a coastal distributed autonomous sensor network |
author_facet |
Patrikalakis, N.M. Weymouth, G.D. Kurniawati, Hanna Leighton, Joshua Papadopoulos, Georgios Valdivia y Alvarado, Pablo Taher, Tawfiq Khan, Rubaina |
author_sort |
Patrikalakis, N.M. |
title |
Modeling and inspection applications of a coastal distributed autonomous sensor network |
title_short |
Modeling and inspection applications of a coastal distributed autonomous sensor network |
title_full |
Modeling and inspection applications of a coastal distributed autonomous sensor network |
title_fullStr |
Modeling and inspection applications of a coastal distributed autonomous sensor network |
title_full_unstemmed |
Modeling and inspection applications of a coastal distributed autonomous sensor network |
title_sort |
modeling and inspection applications of a coastal distributed autonomous sensor network |
publishDate |
2012 |
url |
https://eprints.soton.ac.uk/349802/ https://eprints.soton.ac.uk/349802/1/OMAE_2012.pdf |
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Arctic |
genre_facet |
Arctic |
op_relation |
https://eprints.soton.ac.uk/349802/1/OMAE_2012.pdf Patrikalakis, N.M., Weymouth, G.D., Kurniawati, Hanna, Leighton, Joshua, Papadopoulos, Georgios, Valdivia y Alvarado, Pablo, Taher, Tawfiq and Khan, Rubaina (2012) Modeling and inspection applications of a coastal distributed autonomous sensor network. International Conference on Ocean, Offshore and Arctic Engineering, Rio de Janeiro, Brazil. 01 - 06 Jul 2012. |
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1772810616373772288 |