osvr::kalman::ConstantProcess< StateType > Class Template Reference

#include <osvr/Kalman/ConstantProcess.h>

Public Types
using	State = StateType
using	StateVector = types::DimVector< State >
using	StateSquareMatrix = types::DimSquareMatrix< State >

Public Member Functions
void	predictState (State &state, double dt)
void	setNoiseAutocorrelation (double noise)
void	setNoiseAutocorrelation (StateVector const &noise)

Detailed Description

template<typename StateType>
class osvr::kalman::ConstantProcess< StateType >

A simple process model for a "constant" process: all prediction does at most is bump up the uncertainty. Since it's widely applicable, it's templated on state type.

One potential application is for beacon autocalibration in a device filter.

Definition at line 45 of file ConstantProcess.h.

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The documentation for this class was generated from the following file:

• osvr/Kalman/ConstantProcess.h