The goal of this project is to develop a hybrid indoor tracking system for mobile devices like smartphones or tablets. The system will be specifically designed for complex interior spaces, like airports, hospitals or shopping malls, that may change their visual appearance to a certain amount for example due to seasonal decoration.
For this purpose we combine multiple optical tracking technologies. The algorithm takes advantage of the available sensors already built into standard smartphones, like the inertial sensor and the high resolution RGB camera. In addition novel imaging hardware like a light field capturing device is included in the system. 2D natural features of the environment as well as SLAM features of more complex three dimensional structures will be processed to calculate the position within the building.
This device position allows the development of a robust indoor navigation system which is able to interactively guide the user within an unknown terrain, thereby solving complex tasks more efficiently.
