Class COccupancyGridMap3D
Defined in File COccupancyGridMap3D.h
Nested Relationships
Nested Types
Inheritance Relationships
Base Types
public mrpt::maps::CMetricMappublic mrpt::maps::CLogOddsGridMap3D< OccGridCellTraits::cellType >(Template Struct CLogOddsGridMap3D)public mrpt::maps::NearestNeighborsCapable(Class NearestNeighborsCapable)
Class Documentation
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class COccupancyGridMap3D : public mrpt::maps::CMetricMap, public mrpt::maps::CLogOddsGridMap3D<OccGridCellTraits::cellType>, public mrpt::maps::NearestNeighborsCapable
A 3D occupancy grid map with a regular, even distribution of voxels.
This is a faster alternative to COctoMap, but use with caution with limited map extensions, since it could easily exaust available memory.
Each voxel follows a Bernoulli probability distribution: a value of 0 means certainly occupied, 1 means a certainly empty voxel. Initially 0.5 means uncertainty.
An alternative, sparse representation of a 3D map is provided via mrpt::maps::CVoxelMap and mrpt::maps::CVoxelMapRGB
API of the NearestNeighborsCapable virtual interface
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inline virtual bool nn_has_indices_or_ids() const override
Returns true if the rest of
nn_*methods will populate the output indices values with 0-based contiguous indices. Returns false if indices are actually sparse ID numbers without any expectation of they be contiguous or start near zero.
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inline virtual size_t nn_index_count() const override
If nn_has_indices_or_ids() returns
true, this must return the number of “points” (or whatever entity) the indices correspond to. Otherwise, the return value should be ignored.
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virtual bool nn_single_search(const mrpt::math::TPoint3Df &query, mrpt::math::TPoint3Df &result, float &out_dist_sqr, uint64_t &resultIndexOrID) const override
Search for the closest 3D point to a given one.
- Parameters:
query – [in] The query input point.
result – [out] The found closest point.
out_dist_sqr – [out] The square Euclidean distance between the query and the returned point.
resultIndexOrID – [out] The index or ID of the result point in the map.
- Returns:
True if successful, false if no point was found.
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virtual bool nn_single_search(const mrpt::math::TPoint2Df &query, mrpt::math::TPoint2Df &result, float &out_dist_sqr, uint64_t &resultIndexOrID) const override
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virtual void nn_multiple_search(const mrpt::math::TPoint3Df &query, const size_t N, std::vector<mrpt::math::TPoint3Df> &results, std::vector<float> &out_dists_sqr, std::vector<uint64_t> &resultIndicesOrIDs) const override
Search for the
Nclosest 3D points to a given one.- Parameters:
query – [in] The query input point.
results – [out] The found closest points.
out_dists_sqr – [out] The square Euclidean distances between the query and the returned point.
resultIndicesOrIDs – [out] The indices or IDs of the result points.
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virtual void nn_multiple_search(const mrpt::math::TPoint2Df &query, const size_t N, std::vector<mrpt::math::TPoint2Df> &results, std::vector<float> &out_dists_sqr, std::vector<uint64_t> &resultIndicesOrIDs) const override
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virtual void nn_radius_search(const mrpt::math::TPoint3Df &query, const float search_radius_sqr, std::vector<mrpt::math::TPoint3Df> &results, std::vector<float> &out_dists_sqr, std::vector<uint64_t> &resultIndicesOrIDs, size_t maxPoints) const override
Radius search for closest 3D points to a given one.
- Parameters:
query – [in] The query input point.
search_radius_sqr – [in] The search radius, squared.
results – [out] The found closest points.
out_dists_sqr – [out] The square Euclidean distances between the query and the returned point.
resultIndicesOrIDs – [out] The indices or IDs of the result points.
maxPoints – [in] If !=0, the maximum number of neigbors to return.
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virtual void nn_radius_search(const mrpt::math::TPoint2Df &query, const float search_radius_sqr, std::vector<mrpt::math::TPoint2Df> &results, std::vector<float> &out_dists_sqr, std::vector<uint64_t> &resultIndicesOrIDs, size_t maxPoints) const override
Public Types
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enum TLikelihoodMethod
The type for selecting a likelihood computation method
Values:
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enumerator lmLikelihoodField_Thrun
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enumerator lmRayTracing
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enumerator lmLikelihoodField_Thrun
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using voxelType = OccGridCellTraits::cellType
The type of the map voxels:
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using voxelTypeUnsigned = OccGridCellTraits::cellTypeUnsigned
Public Functions
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COccupancyGridMap3D(const mrpt::math::TPoint3D &corner_min = {-5.0f, -5.0f, -5.0f}, const mrpt::math::TPoint3D &corner_max = {5.0f, 5.0f, 5.0f}, float resolution = 0.25f)
Constructor
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void fill(float default_value = 0.5f)
Fills all the voxels with a default value.
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void setSize(const mrpt::math::TPoint3D &corner_min, const mrpt::math::TPoint3D &corner_max, double resolution, float default_value = 0.5f)
Change the size of gridmap, erasing all its previous contents.
See also
ResizeGrid
- Parameters:
resolution – The new size of voxels.
default_value – The value of voxels, typically 0.5.
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void resizeGrid(const mrpt::math::TPoint3D &corner_min, const mrpt::math::TPoint3D &corner_max, float new_voxels_default_value = 0.5f)
Change the size of gridmap, maintaining previous contents.
See also
- Parameters:
new_voxels_default_value – Value of new voxels, typically 0.5
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void updateCell(int cx_idx, int cy_idx, int cz_idx, float v)
Performs the Bayesian fusion of a new observation of a cell
See also
updateInfoChangeOnly, updateCell_fast_occupied, updateCell_fast_free
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inline void setCellFreeness(unsigned int cx, unsigned int cy, unsigned int cz, float value)
Change the contents [0,1] (0:occupied, 1:free) of a voxel, given its index.
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inline float getCellFreeness(unsigned int cx, unsigned int cy, unsigned int cz) const
Read the real valued [0,1] (0:occupied, 1:free) contents of a voxel, given its index
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inline void setFreenessByPos(float x, float y, float z, float value)
Change the contents [0,1] of a voxel, given its coordinates
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inline float getFreenessByPos(float x, float y, float z) const
Read the real valued [0,1] contents of a voxel, given its coordinates
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void insertRay(const mrpt::math::TPoint3D &sensor, const mrpt::math::TPoint3D &end, bool endIsOccupied = true)
Increases the freeness of a ray segment, and the occupancy of the voxel at its end point (unless endIsOccupied=false). Normally, users would prefer the higher-level method CMetricMap::insertObservation()
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void insertPointCloud(const mrpt::math::TPoint3D &sensorCenter, const mrpt::maps::CPointsMap &pts, const float maxValidRange = std::numeric_limits<float>::max(), const std::optional<mrpt::poses::CPose3D> &robotPose = std::nullopt)
Calls insertRay() for each point in the point cloud, using as sensor central point (the origin of all rays), the given
sensorCenter.See also
insertionOptions parameters are observed in this method.
- Parameters:
maxValidRange – [in] If a point has larger distance from
sensorCenterthanmaxValidRange, it will be considered a non-echo, and NO occupied voxel will be created at the end of the segment.
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void getAsOctoMapVoxels(mrpt::viz::COctoMapVoxels &gl_obj) const
See also
renderingOptions
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void getVisualizationInto(mrpt::viz::CSetOfObjects &outObj) const override
Returns a 3D object representing the map.
See also
renderingOptions
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inline mrpt::math::TBoundingBoxf boundingBox() const override
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bool isEmpty() const override
Returns true upon map construction or after calling clear(), the return changes to false upon successful insertObservation() or any other method to load data in the map.
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void determineMatching2D(const mrpt::maps::CMetricMap *otherMap, const mrpt::poses::CPose2D &otherMapPose, mrpt::tfest::TMatchingPairList &correspondences, const TMatchingParams ¶ms, TMatchingExtraResults &extraResults) const override
See docs in base class: in this class this always returns 0
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float compute3DMatchingRatio(const mrpt::maps::CMetricMap *otherMap, const mrpt::poses::CPose3D &otherMapPose, const TMatchingRatioParams ¶ms) const override
See docs in base class: in this class this always returns 0
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void saveMetricMapRepresentationToFile(const std::string &f) const override
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inline std::string asString() const override
Returns a short description of the map.
Public Members
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TInsertionOptions insertionOptions
With this struct options are provided to the observation insertion process
See also
CObservation::insertIntoGridMap
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TLikelihoodOptions likelihoodOptions
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TRenderingOptions renderingOptions
Public Static Functions
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static inline float l2p(const voxelType l)
Scales an integer representation of the log-odd into a real valued probability in [0,1], using p=exp(l)/(1+exp(l))
Protected Functions
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void OnPostSuccesfulInsertObs(const mrpt::obs::CObservation&) override
See base class
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void internal_clear() override
Clear the map: It set all voxels to their default occupancy value (0.5), without changing the resolution (the grid extension is reset to the default values).
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bool internal_insertObservation(const mrpt::obs::CObservation &obs, const std::optional<const mrpt::poses::CPose3D> &robotPose) override
Insert the observation information into this map.
See also
insertionOptions, CObservation::insertObservationInto
- Parameters:
obs – The observation
robotPose – The 3D pose of the robot mobile base in the map reference system, or nullptr (default) if you want to use CPose2D(0,0,deg)
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void internal_insertObservationScan2D(const mrpt::obs::CObservation2DRangeScan &o, const mrpt::poses::CPose3D &robotPose)
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void internal_insertObservationScan3D(const mrpt::obs::CObservation3DRangeScan &o, const mrpt::poses::CPose3D &robotPose)
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void internal_insertObservationPointCloud(const mrpt::obs::CObservationPointCloud &o, const mrpt::poses::CPose3D &robotPose)
Protected Static Functions
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static CLogOddsGridMapLUT<voxelType> &get_logodd_lut()
Lookup tables for log-odds
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class TInsertionOptions : public mrpt::config::CLoadableOptions
With this struct options are provided to the observation insertion process.
See also
CObservation::insertIntoGridMap
Public Functions
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TInsertionOptions() = default
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void loadFromConfigFile(const mrpt::config::CConfigFileBase &source, const std::string §ion) override
This method load the options from a “.ini” file. Only those parameters found in the given “section” and having the same name that the variable are loaded. Those not found in the file will stay with their previous values (usually the default values loaded at initialization). An example of an “.ini” file:
[section] resolution=0.10 ; blah blah... modeSelection=1 ; 0=blah, 1=blah,...
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void saveToConfigFile(mrpt::config::CConfigFileBase &target, const std::string §ion) const override
Public Members
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float maxDistanceInsertion = {15.0f}
Largest distance at which voxels are updated (Default: 15 meters)
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float maxOccupancyUpdateCertainty = {0.65f}
A value in the range [0.5,1] used for updating voxel with a Bayesian approach (default 0.65)
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float maxFreenessUpdateCertainty = {.0f}
A value in the range [0.5,1] for updating a free voxel. (default=0 means use the same than maxOccupancyUpdateCertainty)
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uint16_t decimation_3d_range = {8}
Specify the decimation of 3D range scans. “N” means keeping the minimum range of each block of “NxN” range pixels. (default=8)
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uint16_t decimation = {1}
Decimation for insertPointCloud() or 2D range scans (Default: 1)
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bool raytraceEmptyCells = true
If true, raytrace and fill empty cells. If false, only the final (end point) of each ray will be marked as occupied.
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TInsertionOptions() = default
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class TLikelihoodOptions : public mrpt::config::CLoadableOptions
With this struct options are provided to the observation likelihood computation process
Public Functions
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TLikelihoodOptions() = default
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void loadFromConfigFile(const mrpt::config::CConfigFileBase &source, const std::string §ion) override
This method load the options from a “.ini” file. Only those parameters found in the given “section” and having the same name that the variable are loaded. Those not found in the file will stay with their previous values (usually the default values loaded at initialization). An example of an “.ini” file:
[section] resolution=0.10 ; blah blah... modeSelection=1 ; 0=blah, 1=blah,...
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void saveToConfigFile(mrpt::config::CConfigFileBase &c, const std::string &s) const override
Public Members
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TLikelihoodMethod likelihoodMethod = {lmLikelihoodField_Thrun}
The selected method to compute an observation likelihood
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float LF_stdHit = {0.35f}
[LikelihoodField] The laser range “sigma” used in computations; Default value = 0.35
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float LF_zHit = {0.95f}
[LikelihoodField]
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float LF_zRandom = {0.05f}
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float LF_maxRange = {20.0f}
[LikelihoodField] The max. range of the sensor (Default= 81 m)
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uint32_t LF_decimation = {1}
[LikelihoodField] The decimation of the points in a scan, default=1 == no decimation
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float LF_maxCorrsDistance = {0.3f}
[LikelihoodField] The max. distance for searching correspondences around each sensed point
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bool LF_useSquareDist = {false}
[LikelihoodField] (Default:false) Use
exp(dist^2/std^2)instead ofexp(dist^2/std^2)
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int32_t rayTracing_decimation = {10}
[rayTracing] One out of “rayTracing_decimation” rays will be simulated and compared only: set to 1 to use all the sensed ranges.
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float rayTracing_stdHit = {1.0f}
[rayTracing] The laser range sigma.
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TLikelihoodOptions() = default
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struct TRenderingOptions
Options for the conversion of a mrpt::maps::COccupancyGridMap3D into a mrpt::viz::COctoMapVoxels
Public Functions
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TRenderingOptions() = default
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void writeToStream(mrpt::serialization::CArchive &out) const
Binary dump to stream
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void readFromStream(mrpt::serialization::CArchive &in)
Binary dump to stream
Public Members
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bool generateGridLines = {false}
Generate grid lines for all octree nodes, useful to draw the “structure” of the octree, but computationally costly (Default: false)
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bool generateOccupiedVoxels = {true}
Generate voxels for the occupied volumes (Default=true)
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bool visibleOccupiedVoxels = {true}
Set occupied voxels visible (requires generateOccupiedVoxels=true) (Default=true)
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bool generateFreeVoxels = {true}
Generate voxels for the freespace (Default=true)
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bool visibleFreeVoxels = {true}
Set free voxels visible (requires generateFreeVoxels=true) (Default=true)
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TRenderingOptions() = default
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inline virtual bool nn_has_indices_or_ids() const override