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Ultra Wide Band Integrated Optical-and-Digital Approach for Smart Factory and Perceptive Car

Descripción del proyecto

Tecnologías inalámbricas para fábricas inteligentes y coches intuitivos

La transición a la era digital plantea muchos retos, uno de los cuales es la infraestructura de banda ancha. La gran banda de frecuencia instantánea que se va a procesar también conlleva enormes limitaciones, más allá de las especificaciones de los innovadores circuitos digitales. El proyecto UWB-IODA SF-PC, financiado con fondos europeos, presentará un método multidisciplinario basado en las tecnologías inalámbricas IR-UWB y UWB sobre fibra para crear sistemas inalámbricos avanzados, resistentes y extremadamente eficaces. Está orientado a fábricas inteligentes y coches intuitivos con el fin de mejorar la seguridad y el producto. Ofrece una supervisión inalámbrica de las personas que trabajan en estos sectores sin necesidad de utilizar herramientas de identificación. Además, tiene por objeto mejorar la seguridad vial mediante la prevención de la somnolencia del conductor y la introducción de reconocimiento de los movimientos de las manos en coches intuitivos.

Objetivo

Our project addresses one of the main challenges of the “Digital agenda for Europe”, namely “Broadband: digital oxygen for all”. While this strategy is expected to have a significant social and economic impact, the huge instantaneous frequency band to be processed also leads to strong constraints, beyond the specifications of the state-of-the-art digital circuits.
We propose a multidisciplinary approach that takes advantage of the capabilities and complementary aspects of wireless IR-UWB and UWB-over-fiber technologies to design intelligent, robust and high performance indoor wireless systems, for smart factories and perceptive cars. Thus, by associating UWB waveform optimization, cutting edge signal processing techniques and machine learning algorithms, these green low-cost systems should have the capability to jointly transmit high data rates and provide accurate indoor localization and tracking, as well as to recognize human physiological and behavioral patterns, like vital sign monitoring and gesture recognition.
The project aims at increasing the safety, security and convenience in Industry 4.0 environments, by multi-humans discrimination/detection, localization and tracking, without the need for them to wear tags or any additional identification equipment. It also aims to contribute to the road safety by preventing the driver drowsiness related accidents and to facilitate the interaction with the perceptive car by hand gesture recognition.
The fellowship will be hosted by the Lab-STICC Joint research unit CNRS 6285, which brings together the project supervisors from the University of Brest and ENIB. It will also benefits from an international collaboration with the Memorial University of Canada, and an industrial partnership with the ZF Friedrichshafen AG company.

Coordinador

UNIVERSITE DE BRETAGNE OCCIDENTALE
Aportación neta de la UEn
€ 184 707,84
Dirección
RUE MATTHIEU GALLOU 3
29238 BREST
Francia

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Región
Bretagne Bretagne Finistère
Tipo de actividad
Higher or Secondary Education Establishments
Enlaces
Coste total
€ 184 707,84