odom_estimation.h
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00033 
00034 /* Author: Wim Meeussen */
00035 
00036 #ifndef __ODOM_ESTIMATION__
00037 #define __ODOM_ESTIMATION__
00038 
00039 // bayesian filtering
00040 #include <filter/extendedkalmanfilter.h>
00041 #include <wrappers/matrix/matrix_wrapper.h>
00042 #include <model/linearanalyticsystemmodel_gaussianuncertainty.h>
00043 #include <model/linearanalyticmeasurementmodel_gaussianuncertainty.h>
00044 #include <pdf/analyticconditionalgaussian.h>
00045 #include <pdf/linearanalyticconditionalgaussian.h>
00046 #include "nonlinearanalyticconditionalgaussianodo.h"
00047 
00048 // TF
00049 #include <tf/tf.h>
00050 
00051 // msgs
00052 #include <geometry_msgs/PoseWithCovarianceStamped.h>
00053 
00054 // log files
00055 #include <fstream>
00056 
00057 namespace estimation
00058 {
00059 
00060 class OdomEstimation
00061 {
00062 public:
00064   OdomEstimation();
00065 
00067   virtual ~OdomEstimation();
00068 
00077   bool update(bool odom_active, bool imu_active, bool vo_active, const ros::Time& filter_time, bool& diagnostics_res);
00078 
00083   void initialize(const tf::Transform& prior, const ros::Time& time);
00084 
00088   bool isInitialized() {return filter_initialized_;};
00089 
00093   void getEstimate(MatrixWrapper::ColumnVector& estimate);
00094 
00099   void getEstimate(ros::Time time, tf::Transform& estiamte);
00100 
00105   void getEstimate(ros::Time time, tf::StampedTransform& estiamte);
00106 
00110   void getEstimate(geometry_msgs::PoseWithCovarianceStamped& estimate);
00111 
00115   void addMeasurement(const tf::StampedTransform& meas);
00116 
00121   void addMeasurement(const tf::StampedTransform& meas, const MatrixWrapper::SymmetricMatrix& covar);
00122 
00123 private:
00125   void angleOverflowCorrect(double& a, double ref);
00126 
00127   // decompose Transform into x,y,z,Rx,Ry,Rz
00128   void decomposeTransform(const tf::StampedTransform& trans,
00129                           double& x, double& y, double&z, double&Rx, double& Ry, double& Rz);
00130   void decomposeTransform(const tf::Transform& trans,
00131                           double& x, double& y, double&z, double&Rx, double& Ry, double& Rz);
00132 
00133 
00134   // pdf / model / filter
00135   BFL::AnalyticSystemModelGaussianUncertainty*            sys_model_;
00136   BFL::NonLinearAnalyticConditionalGaussianOdo*           sys_pdf_;
00137   BFL::LinearAnalyticConditionalGaussian*                 odom_meas_pdf_;
00138   BFL::LinearAnalyticMeasurementModelGaussianUncertainty* odom_meas_model_;
00139   BFL::LinearAnalyticConditionalGaussian*                 imu_meas_pdf_;
00140   BFL::LinearAnalyticMeasurementModelGaussianUncertainty* imu_meas_model_;
00141   BFL::LinearAnalyticConditionalGaussian*                 vo_meas_pdf_;
00142   BFL::LinearAnalyticMeasurementModelGaussianUncertainty* vo_meas_model_;
00143   BFL::Gaussian*                                          prior_;
00144   BFL::ExtendedKalmanFilter*                              filter_;
00145   MatrixWrapper::SymmetricMatrix                          odom_covariance_, imu_covariance_, vo_covariance_;
00146 
00147   // vars
00148   MatrixWrapper::ColumnVector vel_desi_, filter_estimate_old_vec_;
00149   tf::Transform filter_estimate_old_;
00150   tf::StampedTransform odom_meas_, odom_meas_old_, imu_meas_, imu_meas_old_, vo_meas_, vo_meas_old_;
00151   ros::Time filter_time_old_;
00152   bool filter_initialized_, odom_initialized_, imu_initialized_, vo_initialized_;
00153   std::string base_frame_, odom_frame_;
00154 
00155   // diagnostics
00156   double diagnostics_odom_rot_rel_, diagnostics_imu_rot_rel_;
00157 
00158   // tf transformer
00159   tf::Transformer transformer_;
00160 
00161 }; // class
00162 
00163 }; // namespace
00164 
00165 #endif


iri_robot_pose_ekf
Author(s): Wim Meeussen
autogenerated on Fri Dec 6 2013 23:49:07