A topometric system for wide area augmented reality

Andrew P. Gee, Matthew Webb, Jorge Escamilla-Ambrosio, Walterio Mayol-Cuevas, Andrew Calway

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

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.

Original languageEnglish
Pages (from-to)854-868
Number of pages15
JournalComputers and Graphics (Pergamon)
Volume35
Issue number4
DOIs
StatePublished - Aug 2011
Externally publishedYes

Keywords

  • Augmented reality
  • GPS
  • Topometric
  • UWB
  • Visual SLAM

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