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Apollo
6.0
Open source self driving car software
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A searchable voxel structure containing the mean and covariance of the data. More...
#include <ndt_voxel_grid_covariance.h>

Public Member Functions | |
| VoxelGridCovariance () | |
| Constructor. More... | |
| void | SetInputCloud (const PointCloudConstPtr &cloud) |
| Provide a pointer to the input dataset. More... | |
| void | SetMinPointPerVoxel (int min_points_per_voxel) |
| Set the minimum number of points required for a cell to be used (must be 3 or greater for covariance calculation). More... | |
| int | GetMinPointPerVoxel () |
| Get the minimum number of points required for a cell to be used. More... | |
| void | filter (const std::vector< Leaf > &cell_leaf, bool searchable=true) |
| Initializes voxel structure. More... | |
| void | SetMap (const std::vector< Leaf > &map_leaves, PointCloudPtr output) |
| LeafConstPtr | GetLeaf (int index) |
| Get the voxel containing point p. More... | |
| LeafConstPtr | GetLeaf (PointT *p) |
| Get the voxel containing point p. More... | |
| LeafConstPtr | GetLeaf (Eigen::Vector3f *p) |
| Get the voxel containing point p.*. More... | |
| const std::map< size_t, Leaf > & | GetLeaves () |
| Get the leaf structure map. More... | |
| PointCloudPtr | GetCentroids () |
| Get a pointcloud containing the voxel centroids. More... | |
| int | RadiusSearch (const PointT &point, double radius, std::vector< LeafConstPtr > *k_leaves, std::vector< float > *k_sqr_distances, unsigned int max_nn=0) |
| Search for all the nearest occupied voxels of the query point in a given radius. More... | |
| void | GetDisplayCloud (pcl::PointCloud< pcl::PointXYZ > *cell_cloud) |
| void | SetMapLeftTopCorner (const Eigen::Vector3d &left_top_corner) |
| void | SetVoxelGridResolution (float lx, float ly, float lz) |
Protected Types | |
| typedef pcl::PointCloud< PointT > | PointCloud |
| typedef boost::shared_ptr< PointCloud > | PointCloudPtr |
| typedef boost::shared_ptr< const PointCloud > | PointCloudConstPtr |
Protected Attributes | |
| PointCloudConstPtr | input_ |
| Eigen::Vector4f | leaf_size_ |
| Eigen::Array4f | inverse_leaf_size_ |
| Eigen::Vector4i | min_b_ |
| Eigen::Vector4i | max_b_ |
| Eigen::Vector4i | div_b_ |
| Eigen::Vector4i | divb_mul_ |
| int | min_points_per_voxel_ |
| Minimum points contained with in a voxel to allow it to be usable. More... | |
| std::map< size_t, Leaf > | leaves_ |
| Voxel structure containing all leaf nodes (includes voxels with less than a sufficient number of points). More... | |
| PointCloudPtr | voxel_centroids_ |
| Point cloud containing centroids of voxels containing at least minimum number of points. More... | |
| std::vector< int > | voxel_centroids_leaf_indices_ |
| Indices of leaf structurs associated with each point. More... | |
| pcl::KdTreeFLANN< PointT > | kdtree_ |
| KdTree generated using voxel_centroids_ (used for searching). More... | |
| Eigen::Vector3d | map_left_top_corner_ |
| Left top corner. More... | |
A searchable voxel structure containing the mean and covariance of the data.
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Constructor.
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Initializes voxel structure.
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Get a pointcloud containing the voxel centroids.
| void apollo::localization::ndt::VoxelGridCovariance< PointT >::GetDisplayCloud | ( | pcl::PointCloud< pcl::PointXYZ > * | cell_cloud | ) |
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Get the voxel containing point p.
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Get the voxel containing point p.
| [in] | p | the point to get the leaf structure at |
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Get the voxel containing point p.*.
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Get the leaf structure map.
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Get the minimum number of points required for a cell to be used.
| int apollo::localization::ndt::VoxelGridCovariance< PointT >::RadiusSearch | ( | const PointT & | point, |
| double | radius, | ||
| std::vector< LeafConstPtr > * | k_leaves, | ||
| std::vector< float > * | k_sqr_distances, | ||
| unsigned int | max_nn = 0 |
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Search for all the nearest occupied voxels of the query point in a given radius.
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Provide a pointer to the input dataset.
| void apollo::localization::ndt::VoxelGridCovariance< PointT >::SetMap | ( | const std::vector< Leaf > & | map_leaves, |
| PointCloudPtr | output | ||
| ) |
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Set the minimum number of points required for a cell to be used (must be 3 or greater for covariance calculation).
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KdTree generated using voxel_centroids_ (used for searching).
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Voxel structure containing all leaf nodes (includes voxels with less than a sufficient number of points).
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Left top corner.
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Minimum points contained with in a voxel to allow it to be usable.
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Point cloud containing centroids of voxels containing at least minimum number of points.
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Indices of leaf structurs associated with each point.
1.8.13