Mobile Augmented Reality: A topometric system for wide area augmented reality

  • Authors:

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

  • Affiliations:

  • University of Bristol, Department of Computer Science, Merchant Venturers Building, Woodland Road Bristol BS8 1UB, UK;University of Bristol, Department of Electrical and Electronic Engineering, Merchant Venturers Building, Woodland Road, Bristol BS8 1UB, UK;Instituto Nacional de Astrofísica íptica y Electrónica, Departamento de Electrónica, Puebla, México;University of Bristol, Department of Computer Science, Merchant Venturers Building, Woodland Road Bristol BS8 1UB, UK;University of Bristol, Department of Computer Science, Merchant Venturers Building, Woodland Road Bristol BS8 1UB, UK

  • Venue:
  • Computers and Graphics
  • Year:
  • 2011

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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.