00001 /* +---------------------------------------------------------------------------+ 00002 | The Mobile Robot Programming Toolkit (MRPT) C++ library | 00003 | | 00004 | http://www.mrpt.org/ | 00005 | | 00006 | Copyright (C) 2005-2011 University of Malaga | 00007 | | 00008 | This software was written by the Machine Perception and Intelligent | 00009 | Robotics Lab, University of Malaga (Spain). | 00010 | Contact: Jose-Luis Blanco <jlblanco@ctima.uma.es> | 00011 | | 00012 | This file is part of the MRPT project. | 00013 | | 00014 | MRPT is free software: you can redistribute it and/or modify | 00015 | it under the terms of the GNU General Public License as published by | 00016 | the Free Software Foundation, either version 3 of the License, or | 00017 | (at your option) any later version. | 00018 | | 00019 | MRPT is distributed in the hope that it will be useful, | 00020 | but WITHOUT ANY WARRANTY; without even the implied warranty of | 00021 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the | 00022 | GNU General Public License for more details. | 00023 | | 00024 | You should have received a copy of the GNU General Public License | 00025 | along with MRPT. If not, see <http://www.gnu.org/licenses/>. | 00026 | | 00027 +---------------------------------------------------------------------------+ */ 00028 #ifndef CPosePDFGrid_H 00029 #define CPosePDFGrid_H 00030 00031 #include <mrpt/poses/CPosePDF.h> 00032 #include <mrpt/poses/CPose2DGridTemplate.h> 00033 00034 namespace mrpt 00035 { 00036 namespace poses 00037 { 00038 using namespace mrpt::utils; 00039 00040 // This must be added to any CSerializable derived class: 00041 DEFINE_SERIALIZABLE_PRE_CUSTOM_BASE( CPosePDFGrid, CPosePDF ) 00042 00043 /** Declares a class that represents a Probability Distribution 00044 * function (PDF) of a 2D pose (x,y,phi). 00045 * This class implements that PDF using a 3D grid. 00046 * 00047 * \sa CPose2D, CPosePDF, CPose2DGridTemplate 00048 * \ingroup poses_pdf_grp 00049 */ 00050 class BASE_IMPEXP CPosePDFGrid : public CPosePDF, public CPose2DGridTemplate<double> 00051 { 00052 // This must be added to any CSerializable derived class: 00053 DEFINE_SERIALIZABLE( CPosePDFGrid ) 00054 00055 protected: 00056 00057 00058 public: 00059 /** Constructor: Initializes a, uniform distribution over the whole given range. 00060 */ 00061 CPosePDFGrid( 00062 double xMin = -1.0f, 00063 double xMax = 1.0f, 00064 double yMin = -1.0f, 00065 double yMax = 1.0f, 00066 double resolutionXY = 0.5f, 00067 double resolutionPhi = DEG2RAD(180), 00068 double phiMin = -M_PIf, 00069 double phiMax = M_PIf 00070 ); 00071 00072 /** Destructor 00073 */ 00074 virtual ~CPosePDFGrid(); 00075 00076 /** Copy operator, translating if necesary (for example, between particles and gaussian representations) 00077 */ 00078 void copyFrom(const CPosePDF &o); 00079 00080 /** Normalizes the PDF, such as all cells sum the unity. 00081 */ 00082 void normalize(); 00083 00084 /** Assigns the same value to all the cells in the grid, so the sum 1. 00085 */ 00086 void uniformDistribution(); 00087 00088 /** Returns an estimate of the pose, (the mean, or mathematical expectation of the PDF). 00089 * \sa getCovariance 00090 */ 00091 void getMean(CPose2D &mean_pose) const; 00092 00093 /** Returns an estimate of the pose covariance matrix (3x3 cov matrix) and the mean, both at once. 00094 * \sa getMean 00095 */ 00096 void getCovarianceAndMean(CMatrixDouble33 &cov,CPose2D &mean_point) const; 00097 00098 /** Save the contents of the 3D grid in one file, as a vertical concatenation of rectangular matrix for the different "PHI" discrete levels, and the size in X,Y,and PHI in another file named "<filename>_dims.txt" 00099 */ 00100 void saveToTextFile(const std::string &dataFile) const; 00101 00102 /** This can be used to convert a PDF from local coordinates to global, providing the point (newReferenceBase) from which 00103 * "to project" the current pdf. Result PDF substituted the currently stored one in the object. 00104 */ 00105 void changeCoordinatesReference( const CPose3D &newReferenceBase ); 00106 00107 /** Bayesian fusion of 2 densities (In the grid representation this becomes a pointwise multiplication) 00108 */ 00109 void bayesianFusion(const CPosePDF &p1,const CPosePDF &p2, const double &minMahalanobisDistToDrop = 0 ); 00110 00111 /** Returns a new PDF such as: NEW_PDF = (0,0,0) - THIS_PDF 00112 */ 00113 void inverse(CPosePDF &o) const; 00114 00115 /** Draws a single sample from the distribution (WARNING: weights are assumed to be normalized!) 00116 */ 00117 void drawSingleSample( CPose2D &outPart ) const; 00118 00119 /** Draws a number of samples from the distribution, and saves as a list of 1x3 vectors, where each row contains a (x,y,phi) datum. 00120 */ 00121 void drawManySamples( size_t N, std::vector<vector_double> & outSamples ) const; 00122 00123 }; // End of class def. 00124 00125 00126 } // End of namespace 00127 } // End of namespace 00128 00129 #endif
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