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dc.contributor.authorRuf, Boitumelo
dc.contributor.authorMuddukrishna, Ananya
dc.contributor.authorGöhringer, Diana
dc.contributor.authorSchuchert, Tobias
dc.contributor.authorEhrenstråhle, Carl
dc.contributor.authorPaolillo, Antonio
dc.contributor.authorMarty, Fabien
dc.contributor.authorChristensen, Flemming
dc.contributor.authorTchouchenkov, Igor
dc.contributor.authorBernard, Guillaume
dc.contributor.authorKalms, Lester
dc.contributor.authorPons, Carlota
dc.contributor.authorKjeldsberg, Per Gunnar
dc.contributor.authorRodriguez, Ben
dc.contributor.authorJahre, Magnus
dc.contributor.authorDuhem, Francois
dc.contributor.authorPeterson, Magnus
dc.contributor.authorMillet, Philippe
dc.contributor.authorKalb, Tobias
dc.contributor.authorLemer, Christian
dc.date.accessioned2017-03-03T10:38:27Z
dc.date.available2017-03-03T10:38:27Z
dc.date.created2016-12-19T14:44:15Z
dc.date.issued2016
dc.identifier.isbn978-1-5090-3076-7
dc.identifier.urihttp://hdl.handle.net/11250/2432892
dc.description.abstractMany industrial domains rely on vision-based applications which require to comply with severe performance and embedded requirements. TULIPP will develop a reference platform, which consists of a hardware system, a tool chain and a real-time operating system. This platform defines implementation rules and interfaces to tackle power consumption issues while delivering high, energy efficient and guaranteed computing performance for image processing applications. Using this reference platform will enable designers to develop a complete solution at a reduced cost to meet the typical embedded systems requirements: Size, Weight and Power. Moreover, for less constrained systems which performance requirements cannot be fulfilled by one instance of the platform, the reference platform will also be scalable so that the resulting boards can be chained for higher processing power. The instance of the reference platform developed during the project will be use-case driven and split between the implementation of: a reference hardware architecture - a scalable low-power board; a low-power operating system and image processing libraries; a productivityenhancing tool chain. It will lead to three proof-of-concept demonstrators across different application domains: real-time and low-power medical image processing product prototype of surgical X-ray system (mobile c-arm); embedded image processing systems within Unmanned Aerial Vehicles (UAVs); automotive real time embedded systems for driver assistance. TULIPP will set up an ecosystem and will closely work with standardization organizations to propose new standards derived from its reference platform to the industry.nb_NO
dc.language.isoengnb_NO
dc.publisherIEEEnb_NO
dc.relation.ispartofIEEE International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (IC-SAMOS)
dc.relation.ispartofseriesIEEE International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (IC-SAMOS);
dc.titleTULIPP: Towards Ubiquitous Low-power Image Processing Platformsnb_NO
dc.typeChapternb_NO
dc.typeConference objectnb_NO
dc.typePeer reviewednb_NO
dc.identifier.doi10.1109/SAMOS.2016.7818363
dc.identifier.cristin1415190
dc.relation.projectEU/688403nb_NO
dc.description.localcode© 2016 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.”nb_NO
cristin.unitcode194,63,35,0
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for elektronikk og telekommunikasjon
cristin.unitnameInstitutt for datateknikk og informasjonsvitenskap
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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