Barrena, NagoreSánchez, Jairo R.García-Alonso, AlejandroMiguel Chover and A. Augusto de Sousa2014-01-262014-01-2620131017-4656https://doi.org/10.2312/conf/EG2013/posters/011-012This 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.I.3.0 [Computer Graphics]General