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Three-dimensional multi-source localization of underwater objects using convolutional neural networks for artificial lateral lines

This research focuses on the signal processing required for a sensory system that can simultaneously localize multiple moving underwater objects in a three-dimensional (3D) volume by simulating the hydrodynamic flow caused by these objects. We propose a method for localization in a simulated setting...

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Detalles Bibliográficos
Autores principales: Wolf, Ben J., van de Wolfshaar, Jos, van Netten, Sietse M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014811/
https://www.ncbi.nlm.nih.gov/pubmed/31964270
http://dx.doi.org/10.1098/rsif.2019.0616