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dc.contributor.authorBarrena, Nagoreen_US
dc.contributor.authorSánchez, Jairo R.en_US
dc.contributor.authorGarcía-Alonso, Alejandroen_US
dc.contributor.editorMiguel Chover and A. Augusto de Sousaen_US
dc.description.abstractThis poster proposes a collaborative vSLAM system for mobile Augmented Reality applications in huge environments. The system combines the efficiency of local vSLAM methods with the accuracy of large-scale mapping techniques. In order to overcome the efficiency problems of large-scale algorithms,a distributed architecture in the Cloud that keeps the consistency of the map is proposed. To achieve it, the data coming from multi-user local vSLAM algorithms is fused with the large-scale map stored in the Cloud.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.0 [Computer Graphics]en_US
dc.titleA Distributed and Collaborative vSLAM Framework for Real-Time Localisation in Huge Environments for Mobile Devicesen_US
dc.description.seriesinformationEurographics 2013 - Postersen_US

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    Eurographics 2013 - Posters

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