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Título

Underwater Multi-Target Tracking with Particle Filters

AutorMasmitja, Ivan CSIC ORCID; Gomáriz, Spartacus; Río, Joaquín del CSIC; Bouvet, P.J.; Aguzzi, Jacopo CSIC ORCID
Palabras claveAcoustic communication
Multi-vehicle
Underwater
Particle filter
Collaboration
Tracking
Fecha de publicaciónmay-2018
EditorInstitute of Electrical and Electronics Engineers
Citación2018 OCEANS (2018)
ResumenRobotic platforms communication and interoperability is of relevance for marine science and industrial monitoring. We present results of a particle filter study based on underwater Multi-Target Tracking (MTT) using Autonomous Underwater Vehicles (AUV). The main goal was to assess the viability of using a single surface vehicle as a mobile landmark to track and follow a fleet of underwater targets, each one equipped with an acoustic tag where the slant ranges between the surface vehicle and the underwater targets are the unique input for the filters
Descripción5 pages, 8 figures, 1 table.-- © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
Versión del editorhttps://doi.org/10.1109/OCEANSKOBE.2018.8558865
URIhttp://hdl.handle.net/10261/176291
DOI10.1109/OCEANSKOBE.2018.8558865
ISBN978-1-5386-1654-3
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