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virtual void | h (CvMat *x_pred, CvMat *_z_pred) |
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CvMat * | R |
| The covariance matrix for the observation noise. More...
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CvMat * | H |
| The matrix (m*n) mapping Kalman state vector into this sensor's measurements vector. More...
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CvMat * | K |
| The matrix (n*m) containing Kalman gain (something between 0 and H^-1). In this core-implementation we assume this to be precalculated. In KalmanSensor this is updated using update_K . More...
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CvMat * | z |
| Latest measurement vector (m*1) More...
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virtual void | update_H (CvMat *x_pred) |
| Method for updating how the Kalman state vector is mapped into this sensor's measurements vector. This is called from predict_update() of Kalman. Please override this method if you want this mapping to change on the run (e.g. based on time?). More...
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virtual void | update_x (CvMat *x_pred, CvMat *x) |
| Method for updating the state estimate x This is called from predict_update() of Kalman. In KalmanSensorCore and in KalmanSensor this update is made linearly but KalmanSensorEkf will override this method to use unlinear estimation. More...
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CvMat * | delta |
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CvMat * | x_minus |
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CvMat * | x_plus |
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CvMat * | z_tmp1 |
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CvMat * | z_tmp2 |
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CvMat * | P_tmp |
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CvMat * | R_tmp |
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CvMat * | H_trans |
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int | m |
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int | n |
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CvMat * | x_gain |
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CvMat * | z_pred |
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CvMat * | z_residual |
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- Examples:
- SampleFilter.cpp.
Definition at line 91 of file SampleFilter.cpp.
KalmanSensorOwn::KalmanSensorOwn |
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int |
_n, |
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int |
_m |
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virtual void KalmanSensorOwn::h |
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CvMat * |
x_pred, |
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CvMat * |
_z_pred |
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The documentation for this class was generated from the following file: