Aktivität: Teilnahme an oder Organisation einer Veranstaltung › Attending a cours without exam
Beschreibung
Topics covered by the course include:
Introduction on estimation theories and sensor fusion Statistical analysis: Gaussian distributions, expectation operator, means and variances, maximum likelihood Observers: Principle of internal model matching, using outputs to match internal model, full state observer, reduced state observer Estimators: Linear Kalman Filter, Extended Kalman Filter, Unscented Kalman Filter, Adaptive Filter (IMM Filter), Information Filter, Particle Filter Sensor integration architectures: central, hierarchical, and decentralised fusion architectures Multiple sensor fusion: Covariance intersection, State-vector fusion (track-to-track fusion), Information fusion.