The research of the Dept. of Pervasive Computing
Navigation Group focuses on problems that are encountered in
personal positioning in everyday life navigation applications. In
personal positioning, the operating environment is not known
beforehand, which complicates the algorithmic design of the navigation
The integration of radio-navigation systems and
self-contained sensor systems is another special research topic. In
this combination, cost, size, and power consumption of the sensor unit
need to be minimized, and robust integration algorithms are required.
As MEMS (Micro-Electro-Mechanical System) technology evolves
continuously, calibration and field testing of new sensors takes large
portion of our time.
- The positioning device is portable, and the unit is
used in various environments, such as in urban canyons, forested areas
and indoors. Successful navigation algorithms need to adapt to these
different navigation situations to optimize the accuracy and
reliability of the navigation solution.
- User-level integrity and reliability monitoring
important in environments where the conventional assumption of normally
distributed and time-independent errors does not hold.
- GNSS (Global Navigation Satellite Systems) signals
often subject to complete blockage. WLAN, Dead-Reckoning, map
constraints etc. need to be used for position estimation in such
Other nav. research groups at