Applied estimation techniques
Data is displayed for academic year: 2023./2024.
Course Description
Estimation problems definition. The role of the estimation techniques in complex systems. State estimation of stochastic systems: linear and nonlinear Kalman filters, particle filters. State estimation in non-Euclidean spaces. Matrix Lie groups. Kalman filter on matrix Lie groups. Application examples: estimation of difficult-to-measure variables, multi-sensor information fusion, rigid body pose estimation in 3D, moving objects tracking.
Study Programmes
Postgraduate doctoral study programme
Literature
For students
General
ID 154823
Summer semester
6 ECTS
L2 English Level
L1 e-Learning