Improving the performance of CAR systems based on mobile phones

Abstract

Collaborative Augmented Reality (CAR) systems allow multiple users to share a real work environment including computer-generated images in real time. Currently, the hardware features of most mobile phones makes them a natural platform for CAR systems. However, the wide variety of these hardware features can have important effects on the performance of the mobile CAR applications. This thesis proposes a performance characterization and improvement of CAR systems based on mobile phones. The research results, at the time of writing this paper, shows that a CAR system using mobile phones as clients and with a single server can support up to one thousand clients while providing interactive response times.