Underwater radio frequency image sensor using progressive image compression and region of interest
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Otros documentos de la autoría: Moscoso Rubino, Eduardo; Centelles, Diego; Sales Gil, Jorge; Martí Avilés, José Vicente; Marin, Raul; Sanz, Pedro J; Alvares, Alberto
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/8620
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INVESTIGACIONMetadatos
Título
Underwater radio frequency image sensor using progressive image compression and region of interestAutoría
Fecha de publicación
2017-08Editor
Springer-VerlagCita bibliográfica
RUBINO, Eduardo M., et al. Underwater radio frequency image sensor using progressive image compression and region of interest. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2017, vol. 39, no 10, p. 4115-4134.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://link.springer.com/article/10.1007/s40430-017-0894-6#Abs1Versión
info:eu-repo/semantics/submittedVersionPalabras clave / Materias
Resumen
The increasing demand for underwater robotic intervention systems around the world in several application domains requires more versatile and inexpensive systems. By using a wireless communication system, supervised ... [+]
The increasing demand for underwater robotic intervention systems around the world in several application domains requires more versatile and inexpensive systems. By using a wireless communication system, supervised semi-autonomous robots have freedom of movement; however, the limited and varying bandwidth of underwater radio frequency (RF) channels is a major obstacle for the operator to get camera feedback and supervise the intervention. This paper proposes the use of progressive (embedded) image compression and region of interest (ROI) for the design of an underwater image sensor to be installed in an autonomous underwater vehicle, specially when there are constraints on the available bandwidth, allowing a more agile data exchange between the vehicle and a human operator supervising the underwater intervention. The operator can dynamically decide the size, quality, frame rate, or resolution of the received images so that the available bandwidth is utilized to its fullest potential and with the required minimum latency. The paper focuses first on the description of the system, which uses a camera, an embedded Linux system, and an RF emitter installed in an OpenROV housing cylinder. The RF receiver is connected to a computer on the user side, which controls the camera monitoring parameters, including the compression inputs, such as region of interest (ROI), size of the image, and frame rate. The paper focuses on the compression subsystem and does not attempt to improve the communications physical media for better underwater RF links. Instead, it proposes a unified system that uses well-integrated modules (compression and transmission) to provide the scientific community with a higher-level protocol for image compression and transmission in sub-sea robotic interventions. [-]
Proyecto de investigación
Spanish Ministry (Grant DPI2014-57746-C3) (MERBOTS Project) ; Universitat Jaume I (Grants PID2010-12, E-2015-24, PREDOC/2012/47 and PREDOC/2013/46) ; Generalitat Valenciana (Grant ACIF/2014/298) ; Brazil CNPQ and FAP/DFDerechos de acceso
© The Brazilian Society of Mechanical Sciences and Engineering 2017
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info:eu-repo/semantics/openAccess
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info:eu-repo/semantics/openAccess
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