motionModel.h
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32 #ifndef _MOTIONMODEL_H_
33 #define _MOTIONMODEL_H_
34 
35 #include <Eigen/Dense>
37 
38 class MotionModel;
39 
47 {
48  public:
57 
60 
61  MotionModel();
62 
63  void initEstimator(Vector5d& x,Matrix5d& P);
64 
65  void initEstimator(Vector3d& z);
66 
67  void stepEstimator(Vector3d z);
68 };
69 
70 #endif
Nonholonomic extended Kalman filter class.
nonholonomic Kalman filter
Vector3d _z
Measurement vector.
Definition: motionModel.h:54
Eigen::Matrix< double, 3, 1 > Vector3d
void initEstimator(Vector5d &x, Matrix5d &P)
Definition: motionModel.cpp:42
Vector5d _x
Estimated state.
Definition: motionModel.h:50
Nonholonomic Motion model abstraction layer.
Definition: motionModel.h:46
Vector5d _xp
Predicted x.
Definition: motionModel.h:52
nonholonomicEKFilter _estimator
Local estimator for process, Kalman filter with a constant velocity.
Definition: motionModel.h:59
Matrix5d _P
Posteriori error covariance.
Definition: motionModel.h:56
Eigen::Matrix< double, 5, 5 > Matrix5d
Eigen::Matrix< double, 5, 1 > Vector5d
void stepEstimator(Vector3d z)
Definition: motionModel.cpp:99


mtt
Author(s): Jorge Almeida
autogenerated on Mon Mar 2 2015 01:32:18