Future augmented reality systems will require real-time measurement of the position and orientation of various physical objects. Position and orientation of a known object can be measured using LED beacons mounted on the object and fixed cameras. However obstruction of camera views etc. may lead to poor quality measured data. The aim of this project is to combine data from the cameras with wirelessly transmitted data from an inertial measurement unit mounted on the object to improve the accuracy and reliability of position estimation.
Undergraduate
1. Demonstrate improved object tracking using IMU+Camera method.
2. Quantify tracking performance
2. Improve algorithms for combining IMU and camera data
4. Implement coding for multiple objects
Team must have strong programming skills, ability to design and build electronics, interested in processing of sensor data, and be motivated to work on VR/AR systems.
Lab allocations have not been finalised