Autonomous Underwater Vehicles and Field of View in Underwater Operations
Submarine inspections and surveys require underwater vehicles to operate in deep waters efficiently, safely and reliably. Autonomous Underwater Vehicles employing advanced navigation and control systems present several advantages. Robust control algorithms and novel improvements in positioning and n...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-03-01
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| Series: | Journal of Marine Science and Engineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-1312/9/3/277 |
| _version_ | 1797414758595428352 |
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| author | Isaac Segovia Ramírez Pedro José Bernalte Sánchez Mayorkinos Papaelias Fausto Pedro García Márquez |
| author_facet | Isaac Segovia Ramírez Pedro José Bernalte Sánchez Mayorkinos Papaelias Fausto Pedro García Márquez |
| author_sort | Isaac Segovia Ramírez |
| collection | DOAJ |
| description | Submarine inspections and surveys require underwater vehicles to operate in deep waters efficiently, safely and reliably. Autonomous Underwater Vehicles employing advanced navigation and control systems present several advantages. Robust control algorithms and novel improvements in positioning and navigation are needed to optimize underwater operations. This paper proposes a new general formulation of this problem together with a basic approach for the management of deep underwater operations. This approach considers the field of view and the operational requirements as a fundamental input in the development of the trajectory in the autonomous guidance system. The constraints and involved variables are also defined, providing more accurate modelling compared with traditional formulations of the positioning system. Different case studies are presented based on commercial underwater cameras/sonars, analysing the influence of the main variables in the measurement process to obtain optimal resolution results. The application of this approach in autonomous underwater operations ensures suitable data acquisition processes according to the payload installed onboard. |
| first_indexed | 2024-03-09T05:38:26Z |
| format | Article |
| id | doaj.art-e284c63314c64e84bab64e18ba3f3390 |
| institution | Directory Open Access Journal |
| issn | 2077-1312 |
| language | English |
| last_indexed | 2024-03-09T05:38:26Z |
| publishDate | 2021-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj.art-e284c63314c64e84bab64e18ba3f33902023-12-03T12:27:39ZengMDPI AGJournal of Marine Science and Engineering2077-13122021-03-019327710.3390/jmse9030277Autonomous Underwater Vehicles and Field of View in Underwater OperationsIsaac Segovia Ramírez0Pedro José Bernalte Sánchez1Mayorkinos Papaelias2Fausto Pedro García Márquez3Ingenium Research Group, Universidad Castilla-La Mancha, 13071 Ciudad Real, SpainIngenium Research Group, Universidad Castilla-La Mancha, 13071 Ciudad Real, SpainSchool of Metallurgy and Materials, University of Birmingham, Birmingham B15 2TT, UKIngenium Research Group, Universidad Castilla-La Mancha, 13071 Ciudad Real, SpainSubmarine inspections and surveys require underwater vehicles to operate in deep waters efficiently, safely and reliably. Autonomous Underwater Vehicles employing advanced navigation and control systems present several advantages. Robust control algorithms and novel improvements in positioning and navigation are needed to optimize underwater operations. This paper proposes a new general formulation of this problem together with a basic approach for the management of deep underwater operations. This approach considers the field of view and the operational requirements as a fundamental input in the development of the trajectory in the autonomous guidance system. The constraints and involved variables are also defined, providing more accurate modelling compared with traditional formulations of the positioning system. Different case studies are presented based on commercial underwater cameras/sonars, analysing the influence of the main variables in the measurement process to obtain optimal resolution results. The application of this approach in autonomous underwater operations ensures suitable data acquisition processes according to the payload installed onboard.https://www.mdpi.com/2077-1312/9/3/277autonomous underwater vehiclesoperationfield of viewoptimizationcondition monitoring systemtrajectory development |
| spellingShingle | Isaac Segovia Ramírez Pedro José Bernalte Sánchez Mayorkinos Papaelias Fausto Pedro García Márquez Autonomous Underwater Vehicles and Field of View in Underwater Operations Journal of Marine Science and Engineering autonomous underwater vehicles operation field of view optimization condition monitoring system trajectory development |
| title | Autonomous Underwater Vehicles and Field of View in Underwater Operations |
| title_full | Autonomous Underwater Vehicles and Field of View in Underwater Operations |
| title_fullStr | Autonomous Underwater Vehicles and Field of View in Underwater Operations |
| title_full_unstemmed | Autonomous Underwater Vehicles and Field of View in Underwater Operations |
| title_short | Autonomous Underwater Vehicles and Field of View in Underwater Operations |
| title_sort | autonomous underwater vehicles and field of view in underwater operations |
| topic | autonomous underwater vehicles operation field of view optimization condition monitoring system trajectory development |
| url | https://www.mdpi.com/2077-1312/9/3/277 |
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