Indoor tracking using hybrid sensors

UC WRC |  UC SoPD

2017 – 2020

The goal of this project is to explore how to track the position and orientation of a person in indoor settings using sensor-fusion techniques. We attempt to balance energy consumption and positional accuracy to allow the system to perform well over a long period of time (days), while minimising the need to instrument the physical environment.