Class List
Here are the classes, structs, unions and interfaces with brief descriptions:
 CDiscreteFilterEstimator that can be used to estimate discrete states. The update is applied according to Bayes. No propagation has been included in this class, but the propagate method can simply be overloaded in a specialized class
 CFixedStateFixedState is a simple wrapper such that probability density function can be threaded as state estimator, i.e., FixedState reflects a state but update, propagation and reset do not influence the state
 CKalmanFilterKalman filter with constant-velocity system model. The system noise is automatically calculated from the maximum expected acceleration which can be set as a parameter
 CPositionFilterEstimator specialized in estimating the position of a target. The estimator uses a Kalman filter with constant velocity process model. If no updates are received for a given amount of time, the PositionFilter replaces the Kalman filter output by a predefined Gaussian distribution over the current state of the filter (to avoid unrealistic propagation of the state)

Author(s): Sjoerd van den Dries, Jos Elfring
autogenerated on Fri Apr 16 2021 02:32:34