Optimal Management of Marine Inspection with Autonomous Underwater Vehicles

Segovia, Isaac; Pliego, Alberto Barbabosa; Papaelias, Mayorkinos; Márquez, Fausto Pedro García

doi:10.1007/978-3-030-21248-3_57

Cited by 11 publications

(8 citation statements)

References 36 publications

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“…Figure 5 shows the main variables considered in the definition of the FOV. The coordinates determined by the FOV of the operation are given by Equations ( 9)-( 12) defined in reference [46].…”

Section: Determination Of Underwater Fovmentioning

confidence: 99%

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Autonomous Underwater Vehicles and Field of View in Underwater Operations

Ramírez

Sánchez

Papaelias

et al. 2021

JMSE

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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.

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Section: Determination Of Underwater Fovmentioning

confidence: 99%

“…References [46,50] propose C = 2 or C = 3 as suitable values. Higher C values increments the GIFOVmeas and the resolution of the images, ensuring a more suitable measurement process than reduced C values.…”

Section: Determination Of Underwater Fovmentioning

confidence: 99%

Autonomous Underwater Vehicles and Field of View in Underwater Operations

Ramírez

Sánchez

Papaelias

et al. 2021

JMSE

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“…The glider navigation mode allows the AUV to autonomously reach the survey zones, or move between different areas, without a large energy expenditure. With the thruster-based navigation the AUV can perform transects close to the seabed, increasing data acquisition richness and accuracy [47]. The USV autonomously follows the AUV, providing information for accurate geo-localisation of the acquired data and granting satellite communication with the Remote Monitoring and Control Centre (RMCC) at a land station.…”

Section: The Enduruns Overall Approachmentioning

confidence: 99%

ENDURUNS: An Integrated and Flexible Approach for Seabed Survey Through Autonomous Mobile Vehicles

Marini

Gjeci²,

Govindaraj

et al. 2020

JMSE

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The oceans cover more than two-thirds of the planet, representing the vastest part of natural resources. Nevertheless, only a fraction of the ocean depths has been explored. Within this context, this article presents the H2020 ENDURUNS project that describes a novel scientific and technological approach for prolonged underwater autonomous operations of seabed survey activities, either in the deep ocean or in coastal areas. The proposed approach combines a hybrid Autonomous Underwater Vehicle capable of moving using either thrusters or as a sea glider, combined with an Unmanned Surface Vehicle equipped with satellite communication facilities for interaction with a land station. Both vehicles are equipped with energy packs that combine hydrogen fuel cells and Li-ion batteries to provide extended duration of the survey operations. The Unmanned Surface Vehicle employs photovoltaic panels to increase the autonomy of the vehicle. Since these missions generate a large amount of data, both vehicles are equipped with onboard Central Processing units capable of executing data analysis and compression algorithms for the semantic classification and transmission of the acquired data.

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“…AUVs have continuously become popular at this age for several significant reasons. As stated in a journal by [8], that the earth is composed mainly of bodies of water; thus, some countless waters and seas are difficult to study or penetrate due to its location, geographical form, and depth which is why autonomous underwater vehicles are of significant use since this technology does not depend on direct human control. Society as developed rapidly, which makes it difficult to ignore that drastic changes in the environment caused by various human activities.…”

Section: Background Of the Studymentioning

confidence: 99%

Autonomous Underwater Vehicle in Ocean Wastes Cleanup

Africa¹

2020

IJETER

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As the world of technology continues to evolve, innovations and programs are integrated into the societal problems that the world is facing today. As robotics has opened a new chapter in the world of technology, there are so many ways to integrate this innovation and develop it to help solve the social and economic issues occurring, This paper emphasizes on how significant Autonomous Underwater Vehicles are in this world today as it aids in marine monitoring which can help in discoveries and marine protection. This paper also focuses on the function, system, and significant features of an Autonomous Underwater Vehicle. For the function the brief and most basic materials and software to develop the body of the device is studied, the system and process of data acquisition are covered, and the new and probable improvements that can be done shortly are also included in this paper. This study aims to establish the fundamental knowledge, the main functions, and the system of an Autonomous Underwater Vehicle.

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Optimal Management of Marine Inspection with Autonomous Underwater Vehicles

Cited by 11 publications

References 36 publications

Autonomous Underwater Vehicles and Field of View in Underwater Operations

Autonomous Underwater Vehicles and Field of View in Underwater Operations

ENDURUNS: An Integrated and Flexible Approach for Seabed Survey Through Autonomous Mobile Vehicles

Autonomous Underwater Vehicle in Ocean Wastes Cleanup

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