Name
Abstract | ||
|---|---|---|
We describe a system designed to facilitate efficient communication of information relating to the physical world using augmented reality (AR). We bring together a range of technologies to create a system capable of operating in real-time, over wide areas and for both indoor and outdoor operations. The central concept is to integrate localised mapping and tracking based on real-time visual SLAM with global positioning from both GPS and indoor ultra-wide band (UWB) technology. The former allows accurate and repeatable creation and visualisation of AR annotations within local metric maps, whilst the latter provides a coarse global representation of the topology of the maps. We call this a ‘Topometric System’. The key elements are: robust and efficient vision based tracking and mapping using a Kalman filter framework; rapid and reliable vision based relocalisation of users within local maps; user interaction mechanisms for effective annotation insertion; and an integrated framework for managing and fusing mapping and positioning data. We present the results of experiments conducted over a wide area, with indoor and outdoor operations, which demonstrates successful creation and visualisation of large numbers of AR annotations over a range of different locations. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.cag.2011.04.006 | Computers & Graphics |
Keywords | DocType | Volume |
Topometric,Augmented reality,Visual SLAM,UWB,GPS | Journal | 35 |
Issue | ISSN | Citations |
4 | 0097-8493 | 1 |
PageRank | References | Authors |
0.35 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrew P. Gee | 1 | 139 | 8.80 |
| Matthew Webb | 2 | 1 | 0.35 |
| Jorge Escamilla-Ambrosio | 3 | 1 | 0.35 |
| Walterio Mayol-Cuevas | 4 | 99 | 7.48 |
| Andrew Calway | 5 | 645 | 54.66 |