Augmented reality for maintenance application on a mobile platform

Abstract

Pose estimation is a major requirement for any augmented reality (AR) application. Cameras and inertial measurement units (IMUs) have been used for pose estimation not only in AR but also in many other fields. The level of accuracy and pose update required in an AR application is more demanding than in any other field. In certain AR applications, (maintenance for example) a small change in pose can cause a huge deviation in the rendering of the virtual content. This misleads the user in terms of an object location and can display incorrect information. Further, the huge amount of processing power required for the camera based pose estimation results in a bulky system. This reduces the mobility and ergonomics of the system. This demonstration shows a fast pose estimation using a camera and an IMU on a mobile platform for augmented reality in a maintenance application.