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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.
  
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          | KalmanSensorOwn::KalmanSensorOwn | ( | int | _n, |  
          |  |  | int | _m |  
          |  | ) |  |  |  | inline | 
 
 
  
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          | virtual void KalmanSensorOwn::h | ( | CvMat * | x_pred, |  
          |  |  | CvMat * | _z_pred |  
          |  | ) |  |  |  | inlineprivatevirtual | 
 
 
The documentation for this class was generated from the following file: