ndt_occupancy_map.h
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00035 
00041 #ifndef NDT_OCCUPANCY_MAP_HH
00042 #define NDT_OCCUPANCY_MAP_HH
00043 
00044 #include <ndt_map/spatial_index.h>
00045 #include <ndt_map/ndt_cell.h>
00046 #include <ndt_map/depth_camera.h>
00047 
00048 #include <cstdlib>
00049 
00050 #include <cv.h>
00051 #include <pcl/point_cloud.h>
00052 #include <pcl/point_types.h>
00053 
00054 namespace lslgeneric
00055 {
00056 
00061 template <typename PointT>
00062 class NDTOccupancyMap
00063 {
00064 public:
00065 
00066     NDTOccupancyMap()
00067     {
00068         index_ = NULL;
00069     }
00074     NDTOccupancyMap(SpatialIndex<PointT> *idx, float _resolution)
00075     {
00076         //std::cout<<"STORE INDEX PROTOTYPE\n";
00077         index_ = idx;
00078         resolution = _resolution;
00079         //this is used to prevent memory de-allocation of the *si
00080         //si was allocated outside the NDT class and should be deallocated outside
00081         isFirstLoad_=true;
00082     }
00083 
00084     NDTOccupancyMap(const NDTOccupancyMap& other)
00085     {
00086         //std::cout<<"COPY MAP\n";
00087         if(other.index_ != NULL)
00088         {
00089             //std::cout<<"COPY INDEX\n";
00090             this->index_ = index_->copy();
00091             isFirstLoad_ = false;
00092         }
00093         this->resolution = other.resolution;
00094     }
00095 
00096     virtual ~NDTOccupancyMap()
00097     {
00098         //std::cout<<"DELETE MAP\n";
00099         if(index_ !=NULL && !isFirstLoad_)
00100         {
00101             //std::cout<<"DELETE INDEX\n";
00102             delete index_;
00103         }
00104     }
00105 
00111     void addPointCloud(const Eigen::Vector3d &origin, const pcl::PointCloud<PointT> &pc);
00112 
00113 
00114 
00116 
00120 
00121     void loadPointCloud(const pcl::PointCloud<PointT> &pc, const std::vector<std::vector<size_t> > &indices);
00122     void loadDepthImage(const cv::Mat& depthImage, DepthCamera<PointT> &cameraParams);
00123     pcl::PointCloud<PointT> loadDepthImageFeatures(const cv::Mat& depthImage, std::vector<cv::KeyPoint> &keypoints,
00124             size_t &supportSize, double maxVar, DepthCamera<PointT> &cameraParams, bool estimateParamsDI=false, bool nonMean = false);
00126 
00127     void computeNDTCells(int cellupdatemode = CELL_UPDATE_MODE_SAMPLE_VARIANCE_WITH_RESET);
00128 
00129     virtual void writeToVRML(FILE* fout);
00130     virtual void writeToVRML(FILE* fout, Eigen::Vector3d col);
00131 
00132     inline SpatialIndex<PointT>* getMyIndex() const
00133     {
00134         return index_;
00135     }
00137     std::string getMyIndexStr() const;
00138 
00139     //computes the likelihood of a single observation
00140     double getLikelihoodForPoint(PointT pt);
00141 
00142     //returns the covariance matrix of the closest cell to refPoint
00143     bool getCellForPoint(const PointT &refPoint, NDTCell<PointT> *&cell);
00144     std::vector<NDTCell<PointT>*> getCellsForPoint(const PointT pt, double radius);
00145 
00147     NDTCell<PointT>* getCellIdx(unsigned int idx);
00148 
00149     std::vector<NDTCell<PointT>*> pseudoTransformNDT(Eigen::Transform<double,3,Eigen::Affine,Eigen::ColMajor> T);
00150 
00154     std::vector<lslgeneric::NDTCell<PointT>*> getAllCells();
00155 
00159     std::vector<lslgeneric::NDTCell<PointT>*> getDynamicCells(unsigned int Timescale, float threshold);
00160 
00161 
00162     int numberOfActiveCells();
00163 
00164     //tsv: temporary debug function
00165     void debugToVRML(const char* fname, pcl::PointCloud<PointT> &pc);
00166 protected:
00167     SpatialIndex<PointT> *index_;
00168     bool isFirstLoad_;
00169     void loadPointCloud(const Eigen::Vector3d &origin, const pcl::PointCloud<PointT> &pc);
00170     float resolution;
00171 public:
00172     EIGEN_MAKE_ALIGNED_OPERATOR_NEW
00173 
00174 
00175 };
00176 
00177 } // end namespace
00178 
00179 #include <ndt_map/impl/ndt_occupancy_map.hpp>
00180 
00181 #endif


ndt_map
Author(s): Todor Stoyanov, Jari Saarinen, Henrik Andreasson
autogenerated on Wed Aug 26 2015 15:24:41