Many estimation problems of practical relevance include the problem of estimating directional quantities, for example angular values or orientations. However, conventional filters like the Kalman-Filter assume Gaussian distributions defined on R^n. This assumption neglects the inherent periodicity present in directional quantities. Consequently, more sophisticated approaches are required to accurately describe the circular setting.
This Special Session addresses fundamental techniques, recent developments and future research directions in the field of estimation involving directional and periodic data.
Topics of interest
- estimation of circular or directional quantities
- 6 DOF pose estimation
- Circular and directional statistics
- Statistics on the rotation group $SO(3)$ and other manifolds
- IMU based estimation of rotation
- recursive and batch filtering in a periodic setting
- Applications: tracking, robotics, medicine, biology
directional statistics, periodicity, pose estimation, orientation, rotations, estimation on manifolds
Special Session Organizers
- Uwe D. Hanebeck, Karlsruhe Institute of Technology (Germany)
- Gerhard Kurz, Karlsruhe Institute of Technology (Germany)
- Igor Gilitschenski, Karlsruhe Institute of Technology (Germany)