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Modeling and inspection applications of a coastal distributed autonomous sensor network

Modeling and inspection applications of a coastal distributed autonomous sensor network
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 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.
978-0-7918-4492-2
Patrikalakis, N.M.
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Weymouth, G.D.
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Kurniawati, Hanna
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Leighton, Joshua
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Papadopoulos, Georgios
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Valdivia y Alvarado, Pablo
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Taher, Tawfiq
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Khan, Rubaina
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Patrikalakis, N.M.
3e7f9154-3af3-415f-9083-53e46b1634f6
Weymouth, G.D.
b0c85fda-dfed-44da-8cc4-9e0cc88e2ca0
Kurniawati, Hanna
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Leighton, Joshua
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Papadopoulos, Georgios
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Valdivia y Alvarado, Pablo
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Taher, Tawfiq
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Khan, Rubaina
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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. 30 Jun - 05 Jul 2012.

Record type: Conference or Workshop Item (Paper)

Abstract

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.

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More information

Published date: 4 July 2012
Venue - Dates: International Conference on Ocean, Offshore and Arctic Engineering, Rio de Janeiro, Brazil, 2012-06-30 - 2012-07-05
Organisations: Fluid Structure Interactions Group

Identifiers

Local EPrints ID: 349802
URI: http://eprints.soton.ac.uk/id/eprint/349802
ISBN: 978-0-7918-4492-2
PURE UUID: 00237f85-1069-4114-ae61-45eac5c59eaa
ORCID for G.D. Weymouth: ORCID iD orcid.org/0000-0001-5080-5016

Catalogue record

Date deposited: 11 Mar 2013 15:00
Last modified: 09 Jan 2022 03:44

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Contributors

Author: N.M. Patrikalakis
Author: G.D. Weymouth ORCID iD
Author: Hanna Kurniawati
Author: Joshua Leighton
Author: Georgios Papadopoulos
Author: Pablo Valdivia y Alvarado
Author: Tawfiq Taher
Author: Rubaina Khan

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