9 #ifndef CRangeBearingKFSLAM_H 10 #define CRangeBearingKFSLAM_H 97 std::vector<mrpt::math::TPoint3D>& out_landmarksPositions,
98 std::map<unsigned int, mrpt::maps::CLandmark::TLandmarkID>&
117 std::vector<mrpt::math::TPoint3D>& out_landmarksPositions,
118 std::map<unsigned int, mrpt::maps::CLandmark::TLandmarkID>&
126 q, out_landmarksPositions, out_landmarkIDs, out_fullState,
282 std::vector<vector_uint>& landmarksMembership)
const;
289 size_t K, std::vector<vector_uint>& landmarksMembership);
296 const std::vector<vector_uint>& landmarksMembership)
const;
344 bool& out_skipPrediction)
const;
403 const size_t& idx_landmark_to_predict,
KFMatrix_OxV& Hx,
473 const size_t in_obsIdx,
const size_t in_idxNewFeat);
void getCurrentRobotPose(mrpt::poses::CPose3DQuatPDFGaussian &out_robotPose) const
Returns the mean & the 7x7 covariance matrix of the robot 6D pose (with rotation as a quaternion)...
mrpt::math::TPoint3D landmark_point_t
Either mrpt::math::TPoint2D or mrpt::math::TPoint3D.
An implementation of EKF-based SLAM with range-bearing sensors, odometry, a full 6D robot pose...
void reset()
Reset the state of the SLAM filter: The map is emptied and the robot put back to (0,0,0).
mrpt::poses::CPose3DQuat getIncrementFromOdometry() const
Return the last odometry, as a pose increment.
void OnObservationJacobians(const size_t &idx_landmark_to_predict, KFMatrix_OxV &Hx, KFMatrix_OxF &Hy) const
Implements the observation Jacobians and (when applicable) .
bool force_ignore_odometry
Whether to ignore the input odometry and behave as if there was no odometry at all (default: false) ...
This class stores a sequence of <Probabilistic Pose,SensoryFrame> pairs, thus a "metric map" can be t...
void reconsiderPartitionsNow()
The partitioning of the entire map is recomputed again.
void OnPreComputingPredictions(const vector_KFArray_OBS &in_all_prediction_means, vector_size_t &out_LM_indices_to_predict) const
This will be called before OnGetObservationsAndDataAssociation to allow the application to reduce the...
mrpt::math::CMatrixFixedNumeric< double, FEAT_SIZE, VEH_SIZE > KFMatrix_FxV
void OnObservationModel(const vector_size_t &idx_landmarks_to_predict, vector_KFArray_OBS &out_predictions) const
GLdouble GLdouble GLdouble GLdouble q
void processActionObservation(mrpt::obs::CActionCollection::Ptr &action, mrpt::obs::CSensoryFrame::Ptr &SF)
Process one new action and observations to update the map and robot pose estimate.
void OnNormalizeStateVector()
This method is called after the prediction and after the update, to give the user an opportunity to n...
std::map< size_t, size_t > newly_inserted_landmarks
Map from the 0-based index within the last observation and the landmark 0-based index in the map (the...
Column vector, like Eigen::MatrixX*, but automatically initialized to zeros since construction...
mrpt::vector_size_t predictions_IDs
void saveMapAndPath2DRepresentationAsMATLABFile(const std::string &fil, float stdCount=3.0f, const std::string &styleLandmarks=std::string("b"), const std::string &stylePath=std::string("r"), const std::string &styleRobot=std::string("r")) const
Save the current state of the filter (robot pose & map) to a MATLAB script which displays all the ele...
mrpt::utils::bimap< mrpt::maps::CLandmark::TLandmarkID, unsigned int > m_IDs
The mapping between landmark IDs and indexes in the Pkk cov.
void OnGetAction(KFArray_ACT &out_u) const
Must return the action vector u.
void OnTransitionJacobian(KFMatrix_VxV &out_F) const
Implements the transition Jacobian .
double computeOffDiagonalBlocksApproximationError(const std::vector< vector_uint > &landmarksMembership) const
Computes the ratio of the missing information matrix elements which are ignored under a certain parti...
mrpt::math::CArrayNumeric< double, VEH_SIZE > KFArray_VEH
mrpt::poses::CPose3DQuat getCurrentRobotPoseMean() const
Get the current robot pose mean, as a 3D+quaternion pose.
TDataAssocInfo m_last_data_association
Last data association.
void getLastPartitionLandmarks(std::vector< vector_uint > &landmarksMembership) const
Return the partitioning of the landmarks in clusters accoring to the last partition.
float std_odo_z_additional
Additional std.
void getLastPartition(std::vector< vector_uint > &parts)
Return the last partition of the sequence of sensoryframes (it is NOT a partition of the map!!) Only ...
void OnNewLandmarkAddedToMap(const size_t in_obsIdx, const size_t in_idxNewFeat)
If applicable to the given problem, do here any special handling of adding a new landmark to the map...
mrpt::math::CMatrixTemplateNumeric< kftype > Y_pred_means
Declares a class that represents a Probability Density function (PDF) of a 3D pose using a quaternion...
Configuration of the algorithm:
This class allows loading and storing values and vectors of different types from a configuration text...
mrpt::math::CMatrixFixedNumeric< double, OBS_SIZE, OBS_SIZE > KFMatrix_OxO
CIncrementalMapPartitioner::TOptions * mapPartitionOptions()
Provides access to the parameters of the map partitioning algorithm.
void loadFromConfigFile(const mrpt::utils::CConfigFileBase &source, const std::string §ion) override
This method load the options from a ".ini"-like file or memory-stored string list.
This base class is used to provide a unified interface to files,memory buffers,..Please see the deriv...
void OnTransitionNoise(KFMatrix_VxV &out_Q) const
Implements the transition noise covariance .
TDataAssociationMetric data_assoc_metric
int partitioningMethod
Applicable only if "doPartitioningExperiment=true".
TDataAssociationMetric
Different metrics for data association, used in mrpt::slam::data_association For a comparison of both...
TOptions()
Default values.
void OnSubstractObservationVectors(KFArray_OBS &A, const KFArray_OBS &B) const
Computes A=A-B, which may need to be re-implemented depending on the topology of the individual scala...
void getCurrentRobotPose(mrpt::poses::CPose3DPDFGaussian &out_robotPose) const
Returns the mean & the 6x6 covariance matrix of the robot 6D pose (with rotation as 3 angles)...
mrpt::aligned_containers< KFArray_OBS >::vector_t vector_KFArray_OBS
Virtual base for Kalman Filter (EKF,IEKF,UKF) implementations.
std::shared_ptr< CSetOfObjects > Ptr
void loadOptions(const mrpt::utils::CConfigFileBase &ini)
Load options from a ini-like file/text.
mrpt::slam::CIncrementalMapPartitioner::TOptions options
CIncrementalMapPartitioner mapPartitioner
Used for map partitioning experiments.
std::shared_ptr< CSensoryFrame > Ptr
TDataAssociationMetric data_assoc_IC_metric
Whether to use mahalanobis (->chi2 criterion) vs.
A class used to store a 3D pose as a translation (x,y,z) and a quaternion (qr,qx,qy,qz).
mrpt::math::CArrayNumeric< double, ACT_SIZE > KFArray_ACT
mrpt::maps::CSimpleMap m_SFs
The sequence of all the observations and the robot path (kept for debugging, statistics,etc)
GLsizei const GLchar ** string
mrpt::math::CMatrixFixedNumeric< double, OBS_SIZE, FEAT_SIZE > KFMatrix_OxF
double data_assoc_IC_ml_threshold
Only if data_assoc_IC_metric==ML, the log-ML threshold (Default=0.0)
void OnGetObservationNoise(KFMatrix_OxO &out_R) const
Return the observation NOISE covariance matrix, that is, the model of the Gaussian additive noise of ...
void getCurrentState(mrpt::poses::CPose3DPDFGaussian &out_robotPose, std::vector< mrpt::math::TPoint3D > &out_landmarksPositions, std::map< unsigned int, mrpt::maps::CLandmark::TLandmarkID > &out_landmarkIDs, mrpt::math::CVectorDouble &out_fullState, mrpt::math::CMatrixDouble &out_fullCovariance) const
Returns the complete mean and cov.
mrpt::math::CArrayNumeric< double, OBS_SIZE > KFArray_OBS
This is the global namespace for all Mobile Robot Programming Toolkit (MRPT) libraries.
This class can be used to make partitions on a map/graph build from observations taken at some poses/...
std::shared_ptr< CActionCollection > Ptr
mrpt::obs::CSensoryFrame::Ptr m_SF
Set up by processActionObservation.
void getCurrentState(mrpt::poses::CPose3DQuatPDFGaussian &out_robotPose, std::vector< mrpt::math::TPoint3D > &out_landmarksPositions, std::map< unsigned int, mrpt::maps::CLandmark::TLandmarkID > &out_landmarkIDs, mrpt::math::CVectorDouble &out_fullState, mrpt::math::CMatrixDouble &out_fullCovariance) const
Returns the complete mean and cov.
mrpt::slam::CRangeBearingKFSLAM::TOptions options
mrpt::math::CMatrixTemplateNumeric< double > KFMatrix
float quantiles_3D_representation
Default = 3.
mrpt::math::CMatrixFixedNumeric< double, FEAT_SIZE, OBS_SIZE > KFMatrix_FxO
void dumpToTextStream(mrpt::utils::CStream &out) const override
This method should clearly display all the contents of the structure in textual form, sending it to a CStream.
void OnTransitionModel(const KFArray_ACT &in_u, KFArray_VEH &inout_x, bool &out_skipPrediction) const
Implements the transition model .
void getAs3DObject(mrpt::opengl::CSetOfObjects::Ptr &outObj) const
Returns a 3D representation of the landmarks in the map and the robot 3D position according to the cu...
GLsizei GLsizei GLchar * source
const TDataAssocInfo & getLastDataAssociation() const
Returns a read-only reference to the information on the last data-association.
void OnGetObservationsAndDataAssociation(vector_KFArray_OBS &out_z, vector_int &out_data_association, const vector_KFArray_OBS &in_all_predictions, const KFMatrix &in_S, const vector_size_t &in_lm_indices_in_S, const KFMatrix_OxO &in_R)
This is called between the KF prediction step and the update step, and the application must return th...
Declares a class that represents a Probability Density function (PDF) of a 3D pose ...
Information for data-association:
mrpt::math::CMatrixFixedNumeric< double, OBS_SIZE, VEH_SIZE > KFMatrix_OxV
std::vector< size_t > vector_size_t
void OnInverseObservationModel(const KFArray_OBS &in_z, KFArray_FEAT &out_yn, KFMatrix_FxV &out_dyn_dxv, KFMatrix_FxO &out_dyn_dhn) const
If applicable to the given problem, this method implements the inverse observation model needed to ex...
CRangeBearingKFSLAM()
Constructor.
bool create_simplemap
Whether to fill m_SFs (default=false)
std::vector< int32_t > vector_int
mrpt::math::CMatrixFixedNumeric< double, VEH_SIZE, VEH_SIZE > KFMatrix_VxV
TDataAssociationMethod data_assoc_method
bool doPartitioningExperiment
If set to true (default=false), map will be partitioned using the method stated by partitioningMethod...
TDataAssociationResults results
The results from mrpt::slam::data_association.
The options for the algorithm.
mrpt::math::CMatrixTemplateNumeric< kftype > Y_pred_covs
mrpt::obs::CActionCollection::Ptr m_action
Set up by processActionObservation.
TDataAssociationMethod
Different algorithms for data association, used in mrpt::slam::data_association.
virtual ~CRangeBearingKFSLAM()
Destructor:
mrpt::math::CArrayNumeric< double, FEAT_SIZE > KFArray_FEAT
std::vector< vector_uint > m_lastPartitionSet
float std_sensor_range
The std.
double data_assoc_IC_chi2_thres
Threshold in [0,1] for the chi2square test for individual compatibility between predictions and obser...
This is a virtual base class for sets of options than can be loaded from and/or saved to configuratio...
void getLastPartitionLandmarksAsIfFixedSubmaps(size_t K, std::vector< vector_uint > &landmarksMembership)
For testing only: returns the partitioning as "getLastPartitionLandmarks" but as if a fixed-size subm...
mrpt::math::CVectorFloat stds_Q_no_odo
A 7-length vector with the std.
std::vector< size_t > vector_size_t