Helper function to read CSV files into 'matrix' of strings.

* Returns a pointer to a piece of new memory of the given size in bytes * allocated from the pool. */

\brief Notifies the estimator that points have been transformed. \param transformation Linear transformation applied to the points.

* \brief The procession of the incoming laser scans from the LOAM nodes, and transforming them with the past transorms from the localization updates

* \brief Here processing the target cloud pcd for the first run, than export it for storage. For later runs it only loads the segmented cloud * @p

Helper function to write 'matrix' of strings to a CSV file.

\brief Prevent static class from being instantiated.

AutoencoderDescriptor () {};

Descriptors methods definition

\brief Initializes a new instance of the DynamicVoxelGrid class. \param resolution Edge length of the voxels. \param min_points_per_voxel Minimum numb

EigenvalueBasedDescriptor methods definition

finds position of least significant unset bit */

\brief Initializes a new instance of the GeometricConsistencyRecognizer class. \param params The parameters of the geometry consistency grouping.

\brief Prevent instantiation of static class.

\brief Initializes a new instance of the IncrementalSegmenter class. \param params The parameters of the segmenter.

Constructor: takes a const ref to the matrix object with the data points

* KDTree constructor * * Refer to docs in README.md or online in https://github.com/jlblancoc/nanoflann * * The KD

* KDTree constructor * * Refer to docs in README.md or online in https://github.com/jlblancoc/nanoflann * * The KD

* KDTree constructor * * Refer to docs in README.md or online in https://github.com/jlblancoc/nanoflann * * The KD

\brief Initializes a new instance of the KdTreePointsNeighborsProvider class.