Experimental verification of underwater positioning system in aquaculture

Sandøy, Stian Skaalvik; Schjølberg, Ingrid

doi:10.1109/oceanse.2017.8084947

Cited by 2 publications

(1 citation statement)

References 17 publications

(28 reference statements)

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“…It should be noted that motions on the hydrophones due to waves and currents can affect the transmitter position estimates. These disturbances may, for instance, be filtered out by utilizing the method developed in [26].…”

Section: Resultsmentioning

confidence: 99%

Probabilistic Localization and Mapping of Flexible Underwater Structures using Octomap

Arnesen

Sandøy

Schjølberg

et al. 2018

2018 European Control Conference (ECC)

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This paper addresses localization and mapping of flexible ocean structures. The methodology is based on a network of low cost acoustic transmitters on the structure and receivers stationed in the vicinity of the structure. The position of the receivers is assumed to be known. The position of each transmitter is estimated and represents a point position on the structure. All of the point positions are interpolated and applied in the mapping software Octomap, to build a digital map representation of the whole flexible structure. This map can serve as an environment model for underwater robots navigating close to such structures. An example is underwater robots operating close to or within a flexible ocean structure such as a fish cage. {bent.o.arnesen, stian.s.sandoy, ingrid.schjolberg, ingrid.b.utne }@ntnu.no

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Section: Resultsmentioning

confidence: 99%

Probabilistic Localization and Mapping of Flexible Underwater Structures using Octomap

Arnesen

Sandøy

Schjølberg

et al. 2018

2018 European Control Conference (ECC)

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Diagnostic structure of visual robotic inundated systems with fuzzy clustering membership correlation

Manoharan,

Selvarajan,

Aluvalu

et al. 2023

PeerJ Computer Science

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The process of using robotic technology to examine underwater systems is still a difficult undertaking because the majority of automated activities lack network connectivity. Therefore, the suggested approach finds the main hole in undersea systems and fills it using robotic automation. In the predicted model, an analytical framework is created to operate the robot within predetermined areas while maximizing communication ranges. Additionally, a clustering algorithm with a fuzzy membership function is implemented, allowing the robots to advance in accordance with predefined clusters and arrive at their starting place within a predetermined amount of time. A cluster node is connected in each clustered region and provides the central control center with the necessary data. The weights are evenly distributed, and the designed robotic system is installed to prevent an uncontrolled operational state. Five different scenarios are used to test and validate the created model, and in each case, the proposed method is found to be superior to the current methodology in terms of range, energy, density, time periods, and total metrics of operation.

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Experimental verification of underwater positioning system in aquaculture

Cited by 2 publications

References 17 publications

Probabilistic Localization and Mapping of Flexible Underwater Structures using Octomap

Probabilistic Localization and Mapping of Flexible Underwater Structures using Octomap

Diagnostic structure of visual robotic inundated systems with fuzzy clustering membership correlation

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