Sensor Modeling for Underwater Localization Using a Particle Filter

This paper presents a framework for processing, modeling, and fusing underwater sensor signals to provide a reliable perception for underwater localization in structured environments. Submerged sensory information is often affected by diverse sources of uncertainty that can deteriorate the positioni...

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Detalles Bibliográficos
Autores principales: Martínez-Barberá, Humberto, Bernal-Polo, Pablo, Herrero-Pérez, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7926564/
https://www.ncbi.nlm.nih.gov/pubmed/33672255
http://dx.doi.org/10.3390/s21041549

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7926564/
https://www.ncbi.nlm.nih.gov/pubmed/33672255
http://dx.doi.org/10.3390/s21041549

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