Topic
Intervention AUV
About: Intervention AUV is a research topic. Over the lifetime, 980 publications have been published within this topic receiving 14130 citations.
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TL;DR: In this paper, the authors developed a power control system with a three-step algorithm to automatically detect underwater operational states and can limit power, effectively decreasing power consumption by about 15%.
Abstract: Valuable mineral resources are widely distributed throughout the seabed. autonomous underwater vehicles (AUVs) are preferable to remotely-operated vehicles (ROVs) when probing for such mineral resources as the extensive exploration area makes it difficult to maintain contact with operators. AUVs depend on batteries, so their power consumption should be reduced to extend exploration time. Power for conventional marine instrument systems is incorporated in their waterproof sealing. External intermittent control of this power source until termination of exploration is challenging due to limitations imposed by the underwater environment. Thus, the AUV must have a power control system that can improve performance and maximize use of battery capacity. The authors developed such a power control system with a three-step algorithm. It automatically detects underwater operational states and can limit power, effectively decreasing power consumption by about 15%.
6 citations
TL;DR: In this article , the authors present a comprehensive description of the three classical techniques of AUV navigation, i.e., Dead Reckoning, Signal-Based Navigation, and Map-Matching Navigation.
6 citations
Journal Article•
6 citations
18 May 2015
TL;DR: The Rapid Environmental Picture Atlantic (REP14-Atlantic) as mentioned in this paper was focused on collaborative experimentation to advance interoperability, underwater communications and disruption/delay tolerant networking (DTN) capabilities, automation and cooperation of unmanned underwater, surface and aerial vehicles.
Abstract: The paper describes the Rapid Environmental Picture Atlantic exercise 2014 (REP14-Atlantic), with special focus on the experiments with autonomous underwater, surface and air vehicles, and discusses how large scale experimentation in operational environments is contributing to advancing the state of the art in networked vehicle systems. REP14-Atlantic was also focused on collaborative experimentation to advance interoperability, underwater communications and disruption/delay tolerant networking (DTN) capabilities, automation and cooperation of unmanned underwater, surface and aerial vehicles. In addition some of these vehicles had deliberative planning capabilities onboard for unprecedented levels of autonomy. Deliberative planning techniques were also used to support coordinated planning and execution control of multiple vehicles.
6 citations
01 Dec 2016
TL;DR: In this paper, the authors proposed a multiple attribute utility technique to inform the optimal mission profile in light of mission risks and opportunities, and developed a failure model for this AUV and realized that different risk profiles are obtained if we are using different type of propulsion system.
Abstract: Effective autonomous underwater vehicle (AUV) mission uncertainty management requires identifying optimal mission profile based on multiple uncertain attributes. The new deep underwater glider being developed by the BRIDGES consortium will enable the use of low power AUV to sample three different phenomena: living things, sea mining and oil and gas exploration. In order to have the versatility to address these three requirements, the underwater glider will operate in a hybrid mode, using a buoyancy change and propeller based propulsion system. When we developed a failure model for this AUV we realized that different risk profiles are obtained if we are using different type of propulsion system. Therefore, we propose a multiple attribute utility technique to inform the optimal mission profile in light of mission risks and opportunities.
6 citations