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A System for Autonomous Seaweed Farm Inspection with an Underwater Robot

This paper outlines challenges and opportunities in operating underwater robots (so-called AUVs) on a seaweed farm. The need is driven by an emerging aquaculture industry on the Swedish west coast where large-scale seaweed farms are being developed. In this paper, the operational challenges are desc...

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Detalles Bibliográficos
Autores principales: Stenius, Ivan, Folkesson, John, Bhat, Sriharsha, Sprague, Christopher Iliffe, Ling, Li, Özkahraman, Özer, Bore, Nils, Cong, Zheng, Severholt, Josefine, Ljung, Carl, Arnwald, Anna, Torroba, Ignacio, Gröndahl, Fredrik, Thomas, Jean-Baptiste
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269778/
https://www.ncbi.nlm.nih.gov/pubmed/35808560
http://dx.doi.org/10.3390/s22135064
Descripción
Sumario:This paper outlines challenges and opportunities in operating underwater robots (so-called AUVs) on a seaweed farm. The need is driven by an emerging aquaculture industry on the Swedish west coast where large-scale seaweed farms are being developed. In this paper, the operational challenges are described and key technologies in using autonomous systems as a core part of the operation are developed and demonstrated. The paper presents a system and methods for operating an AUV in the seaweed farm, including initial localization of the farm based on a prior estimate and dead-reckoning navigation, and the subsequent scanning of the entire farm. Critical data from sidescan sonars for algorithm development are collected from real environments at a test site in the ocean, and the results are demonstrated in a simulated seaweed farm setup.