A Distributed and Collaborative vSLAM Framework for Real-Time Localisation in Huge Environments for Mobile Devices
Abstract
This 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.
BIB_text
author = {Nagore Barrena, Jairo R. Sánchez, Alejandro García-Alonso},
title = {A Distributed and Collaborative vSLAM Framework for Real-Time Localisation in Huge Environments for Mobile Devices},
pages = {11-12},
keywds = {
vSLAM, Huge environments, Mobile Devices, Augmented Reality, The Cloud
}
abstract = {
This 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.
}
isi = {1},
date = {2013-05-06},
year = {2013},
}
