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mrpt::poses::CPointPDFParticles Class Referenceabstract

Detailed Description

A probability distribution of a 2D/3D point, represented as a set of random samples (particles).

See Also
CPointPDF

Definition at line 54 of file CPointPDFParticles.h.

#include <mrpt/poses/CPointPDFParticles.h>

Inheritance diagram for mrpt::poses::CPointPDFParticles:
Inheritance graph

Public Types

enum  { is_3D_val = 1 }
 
enum  { is_PDF_val = 1 }
 
typedef CPoint3D type_value
 The type of the state the PDF represents. More...
 
typedef
CProbabilityDensityFunction
< CPoint3D, STATE_LEN > 
self_t
 
typedef TSimple3DPoint CParticleDataContent
 This is the type inside the corresponding CParticleData class. More...
 
typedef CProbabilityParticle
< TSimple3DPoint
CParticleData
 Use this to refer to each element in the m_particles array. More...
 
typedef std::deque< CParticleDataCParticleList
 Use this type to refer to the list of particles m_particles. More...
 
typedef double(* TParticleProbabilityEvaluator )(const bayes::CParticleFilter::TParticleFilterOptions &PF_options, const CParticleFilterCapable *obj, size_t index, const void *action, const void *observation)
 A callback function type for evaluating the probability of m_particles of being selected, used in "fastDrawSample". More...
 

Public Member Functions

voidoperator new (size_t size)
 
voidoperator new[] (size_t size)
 
void operator delete (void *ptr) throw ()
 
void operator delete[] (void *ptr) throw ()
 
void operator delete (void *memory, void *ptr) throw ()
 
voidoperator new (size_t size, const std::nothrow_t &) throw ()
 
void operator delete (void *ptr, const std::nothrow_t &) throw ()
 
 CPointPDFParticles (size_t numParticles=1)
 Default constructor. More...
 
void clear ()
 Clear all the particles (free memory) More...
 
void setSize (size_t numberParticles, const CPoint3D &defaultValue=CPoint3D(0, 0, 0))
 Erase all the previous particles and change the number of particles, with a given initial value. More...
 
size_t size () const
 Returns the number of particles. More...
 
void getMean (CPoint3D &mean_point) const MRPT_OVERRIDE
 Returns an estimate of the point, (the mean, or mathematical expectation of the PDF) More...
 
void getCovarianceAndMean (mrpt::math::CMatrixDouble33 &cov, CPoint3D &mean_point) const MRPT_OVERRIDE
 Returns an estimate of the point covariance matrix (3x3 cov matrix) and the mean, both at once. More...
 
void copyFrom (const CPointPDF &o) MRPT_OVERRIDE
 Copy operator, translating if necesary (for example, between particles and gaussian representations) More...
 
void saveToTextFile (const std::string &file) const MRPT_OVERRIDE
 Save PDF's particles to a text file, where each line is: X Y Z LOG_W. More...
 
void changeCoordinatesReference (const CPose3D &newReferenceBase) MRPT_OVERRIDE
 this = p (+) this. More...
 
double computeKurtosis ()
 Compute the kurtosis of the distribution. More...
 
void drawSingleSample (CPoint3D &outSample) const MRPT_OVERRIDE
 Draw a sample from the pdf. More...
 
void bayesianFusion (const CPointPDF &p1, const CPointPDF &p2, const double &minMahalanobisDistToDrop=0) MRPT_OVERRIDE
 Bayesian fusion of two point distributions (product of two distributions->new distribution), then save the result in this object (WARNING: See implementing classes to see classes that can and cannot be mixtured!) More...
 
template<class OPENGL_SETOFOBJECTSPTR >
void getAs3DObject (OPENGL_SETOFOBJECTSPTR &out_obj) const
 Returns a 3D representation of this PDF (it doesn't clear the current contents of out_obj, but append new OpenGL objects to that list) More...
 
template<class OPENGL_SETOFOBJECTSPTR , class OPENGL_SETOFOBJECTS >
OPENGL_SETOFOBJECTSPTR getAs3DObject () const
 Returns a 3D representation of this PDF. More...
 
virtual mxArraywriteToMatlab () const
 Introduces a pure virtual method responsible for writing to a mxArray Matlab object, typically a MATLAB struct whose contents are documented in each derived class. More...
 
mrpt::utils::CObjectPtr duplicateGetSmartPtr () const
 Returns a copy of the object, indepently of its class, as a smart pointer (the newly created object will exist as long as any copy of this smart pointer). More...
 
CObjectclone () const
 Cloning interface for smart pointers. More...
 
virtual void getMean (CPoint3D &mean_point) const =0
 Returns the mean, or mathematical expectation of the probability density distribution (PDF). More...
 
virtual void getCovarianceAndMean (mrpt::math::CMatrixFixedNumeric< double, STATE_LEN, STATE_LEN > &cov, CPoint3D &mean_point) const =0
 Returns an estimate of the pose covariance matrix (STATE_LENxSTATE_LEN cov matrix) and the mean, both at once. More...
 
void getCovarianceDynAndMean (mrpt::math::CMatrixDouble &cov, CPoint3D &mean_point) const
 Returns an estimate of the pose covariance matrix (STATE_LENxSTATE_LEN cov matrix) and the mean, both at once. More...
 
CPoint3D getMeanVal () const
 Returns the mean, or mathematical expectation of the probability density distribution (PDF). More...
 
void getCovariance (mrpt::math::CMatrixDouble &cov) const
 Returns the estimate of the covariance matrix (STATE_LEN x STATE_LEN covariance matrix) More...
 
void getCovariance (mrpt::math::CMatrixFixedNumeric< double, STATE_LEN, STATE_LEN > &cov) const
 Returns the estimate of the covariance matrix (STATE_LEN x STATE_LEN covariance matrix) More...
 
mrpt::math::CMatrixFixedNumeric
< double, STATE_LEN, STATE_LEN > 
getCovariance () const
 Returns the estimate of the covariance matrix (STATE_LEN x STATE_LEN covariance matrix) More...
 
virtual bool isInfType () const
 Returns whether the class instance holds the uncertainty in covariance or information form. More...
 
virtual void getInformationMatrix (mrpt::math::CMatrixFixedNumeric< double, STATE_LEN, STATE_LEN > &inf) const
 Returns the information (inverse covariance) matrix (a STATE_LEN x STATE_LEN matrix) Unless reimplemented in derived classes, this method first reads the covariance, then invert it. More...
 
virtual void drawSingleSample (CPoint3D &outPart) const =0
 Draws a single sample from the distribution. More...
 
virtual void drawManySamples (size_t N, std::vector< mrpt::math::CVectorDouble > &outSamples) const
 Draws a number of samples from the distribution, and saves as a list of 1xSTATE_LEN vectors, where each row contains a (x,y,z,yaw,pitch,roll) datum. More...
 
double getCovarianceEntropy () const
 Compute the entropy of the estimated covariance matrix. More...
 
void clearParticles ()
 Free the memory of all the particles and reset the array "m_particles" to length zero. More...
 
void writeParticlesToStream (STREAM &out) const
 Dumps the sequence of particles and their weights to a stream (requires T implementing CSerializable). More...
 
void readParticlesFromStream (STREAM &in)
 Reads the sequence of particles and their weights from a stream (requires T implementing CSerializable). More...
 
void getWeights (std::vector< double > &out_logWeights) const
 Returns a vector with the sequence of the logaritmic weights of all the samples. More...
 
const CParticleDatagetMostLikelyParticle () const
 Returns the particle with the highest weight. More...
 
const CPointPDFParticlesderived () const
 CRTP helper method. More...
 
CPointPDFParticlesderived ()
 CRTP helper method. More...
 
double getW (size_t i) const MRPT_OVERRIDE
 Access to i'th particle (logarithm) weight, where first one is index 0. More...
 
void setW (size_t i, double w) MRPT_OVERRIDE
 Modifies i'th particle (logarithm) weight, where first one is index 0. More...
 
size_t particlesCount () const MRPT_OVERRIDE
 Get the m_particles count. More...
 
double normalizeWeights (double *out_max_log_w=NULL) MRPT_OVERRIDE
 Normalize the (logarithmic) weights, such as the maximum weight is zero. More...
 
double ESS () const MRPT_OVERRIDE
 Returns the normalized ESS (Estimated Sample Size), in the range [0,1]. More...
 
void performSubstitution (const std::vector< size_t > &indx) MRPT_OVERRIDE
 Replaces the old particles by copies determined by the indexes in "indx", performing an efficient copy of the necesary particles only and allowing the number of particles to change. More...
 
void prepareFastDrawSample (const bayes::CParticleFilter::TParticleFilterOptions &PF_options, TParticleProbabilityEvaluator partEvaluator=defaultEvaluator, const void *action=NULL, const void *observation=NULL) const
 Prepares data structures for calling fastDrawSample method next. More...
 
size_t fastDrawSample (const bayes::CParticleFilter::TParticleFilterOptions &PF_options) const
 Draws a random sample from the particle filter, in such a way that each particle has a probability proportional to its weight (in the standard PF algorithm). More...
 
void prediction_and_update (const mrpt::obs::CActionCollection *action, const mrpt::obs::CSensoryFrame *observation, const bayes::CParticleFilter::TParticleFilterOptions &PF_options)
 Performs the prediction stage of the Particle Filter. More...
 
void performResampling (const bayes::CParticleFilter::TParticleFilterOptions &PF_options, size_t out_particle_count=0)
 Performs a resample of the m_particles, using the method selected in the constructor. More...
 

Static Public Member Functions

static voidoperator new (size_t size, void *ptr)
 
static bool is_3D ()
 
static bool is_PDF ()
 
static double defaultEvaluator (const bayes::CParticleFilter::TParticleFilterOptions &PF_options, const CParticleFilterCapable *obj, size_t index, const void *action, const void *observation)
 The default evaluator function, which simply returns the particle weight. More...
 
static void computeResampling (CParticleFilter::TParticleResamplingAlgorithm method, const std::vector< double > &in_logWeights, std::vector< size_t > &out_indexes, size_t out_particle_count=0)
 A static method to perform the computation of the samples resulting from resampling a given set of particles, given their logarithmic weights, and a resampling method. More...
 
static void log2linearWeights (const std::vector< double > &in_logWeights, std::vector< double > &out_linWeights)
 A static method to compute the linear, normalized (the sum the unity) weights from log-weights. More...
 

Public Attributes

CParticleList m_particles
 The array of particles. More...
 

Static Public Attributes

static const
mrpt::utils::TRuntimeClassId 
classCObject
 
static const size_t state_length
 The length of the variable, for example, 3 for a 3D point, 6 for a 3D pose (x y z yaw pitch roll). More...
 
RTTI stuff
static const
mrpt::utils::TRuntimeClassId 
classCPointPDF
 
RTTI stuff
static const
mrpt::utils::TRuntimeClassId 
classCSerializable
 

Protected Member Functions

virtual void prediction_and_update_pfStandardProposal (const mrpt::obs::CActionCollection *action, const mrpt::obs::CSensoryFrame *observation, const bayes::CParticleFilter::TParticleFilterOptions &PF_options)
 Performs the particle filter prediction/update stages for the algorithm "pfStandardProposal" (if not implemented in heritated class, it will raise a 'non-implemented' exception). More...
 
virtual void prediction_and_update_pfAuxiliaryPFStandard (const mrpt::obs::CActionCollection *action, const mrpt::obs::CSensoryFrame *observation, const bayes::CParticleFilter::TParticleFilterOptions &PF_options)
 Performs the particle filter prediction/update stages for the algorithm "pfAuxiliaryPFStandard" (if not implemented in heritated class, it will raise a 'non-implemented' exception). More...
 
virtual void prediction_and_update_pfOptimalProposal (const mrpt::obs::CActionCollection *action, const mrpt::obs::CSensoryFrame *observation, const bayes::CParticleFilter::TParticleFilterOptions &PF_options)
 Performs the particle filter prediction/update stages for the algorithm "pfOptimalProposal" (if not implemented in heritated class, it will raise a 'non-implemented' exception). More...
 
virtual void prediction_and_update_pfAuxiliaryPFOptimal (const mrpt::obs::CActionCollection *action, const mrpt::obs::CSensoryFrame *observation, const bayes::CParticleFilter::TParticleFilterOptions &PF_options)
 Performs the particle filter prediction/update stages for the algorithm "pfAuxiliaryPFOptimal" (if not implemented in heritated class, it will raise a 'non-implemented' exception). More...
 
CSerializable virtual methods
void writeToStream (mrpt::utils::CStream &out, int *getVersion) const
 Introduces a pure virtual method responsible for writing to a CStream. More...
 
void readFromStream (mrpt::utils::CStream &in, int version)
 Introduces a pure virtual method responsible for loading from a CStream This can not be used directly be users, instead use "stream >> object;" for reading it from a stream or "stream >> object_ptr;" if the class is unknown apriori. More...
 

Protected Attributes

TFastDrawAuxVars m_fastDrawAuxiliary
 Auxiliary vectors, see CParticleFilterCapable::prepareFastDrawSample for more information. More...
 

RTTI stuff

typedef CPointPDFParticlesPtr Ptr
 
typedef CPointPDFParticlesPtr ConstPtr
 
static mrpt::utils::CLASSINIT _init_CPointPDFParticles
 
static mrpt::utils::TRuntimeClassId classCPointPDFParticles
 
static const
mrpt::utils::TRuntimeClassId
classinfo
 
static const
mrpt::utils::TRuntimeClassId
_GetBaseClass ()
 
virtual const
mrpt::utils::TRuntimeClassId
GetRuntimeClass () const
 Returns information about the class of an object in runtime. More...
 
virtual mrpt::utils::CObjectduplicate () const
 Returns a copy of the object, indepently of its class. More...
 
static mrpt::utils::CObjectCreateObject ()
 
static CPointPDFParticlesPtr Create ()
 

Member Typedef Documentation

typedef CPointPDFParticlesPtr mrpt::poses::CPointPDFParticles::ConstPtr

Definition at line 60 of file CPointPDFParticles.h.

typedef CProbabilityParticle<TSimple3DPoint > mrpt::bayes::CParticleFilterData< TSimple3DPoint >::CParticleData
inherited

Use this to refer to each element in the m_particles array.

Definition at line 174 of file CParticleFilterData.h.

This is the type inside the corresponding CParticleData class.

Definition at line 173 of file CParticleFilterData.h.

Use this type to refer to the list of particles m_particles.

Definition at line 175 of file CParticleFilterData.h.

typedef CPointPDFParticlesPtr mrpt::poses::CPointPDFParticles::Ptr

A typedef for the associated smart pointer

Definition at line 60 of file CPointPDFParticles.h.

typedef CProbabilityDensityFunction<CPoint3D , STATE_LEN> mrpt::utils::CProbabilityDensityFunction< CPoint3D , STATE_LEN >::self_t
inherited

Definition at line 33 of file CProbabilityDensityFunction.h.

typedef double( * mrpt::bayes::CParticleFilterCapable::TParticleProbabilityEvaluator)(const bayes::CParticleFilter::TParticleFilterOptions &PF_options, const CParticleFilterCapable *obj, size_t index, const void *action, const void *observation)
inherited

A callback function type for evaluating the probability of m_particles of being selected, used in "fastDrawSample".

The default evaluator function "defaultEvaluator" simply returns the particle weight.

Parameters
indexThis is the index of the particle its probability is being computed.
actionThe value of this is the parameter passed to "prepareFastDrawSample"
observationThe value of this is the parameter passed to "prepareFastDrawSample" The action and the observation are declared as "void*" for a greater flexibility.
See Also
prepareFastDrawSample

Definition at line 54 of file CParticleFilterCapable.h.

The type of the state the PDF represents.

Definition at line 32 of file CProbabilityDensityFunction.h.

Member Enumeration Documentation

anonymous enum
inherited
Enumerator
is_3D_val 

Definition at line 55 of file CPointPDF.h.

anonymous enum
inherited
Enumerator
is_PDF_val 

Definition at line 57 of file CPointPDF.h.

Constructor & Destructor Documentation

CPointPDFParticles::CPointPDFParticles ( size_t  numParticles = 1)

Default constructor.

Definition at line 28 of file CPointPDFParticles.cpp.

References setSize().

Member Function Documentation

static const mrpt::utils::TRuntimeClassId* mrpt::poses::CPointPDFParticles::_GetBaseClass ( )
staticprotected
void CPointPDFParticles::bayesianFusion ( const CPointPDF p1,
const CPointPDF p2,
const double &  minMahalanobisDistToDrop = 0 
)
virtual

Bayesian fusion of two point distributions (product of two distributions->new distribution), then save the result in this object (WARNING: See implementing classes to see classes that can and cannot be mixtured!)

Parameters
p1The first distribution to fuse
p2The second distribution to fuse
minMahalanobisDistToDropIf set to different of 0, the result of very separate Gaussian modes (that will result in negligible components) in SOGs will be dropped to reduce the number of modes in the output.

Implements mrpt::poses::CPointPDF.

Definition at line 285 of file CPointPDFParticles.cpp.

References MRPT_END, MRPT_START, MRPT_UNUSED_PARAM, and THROW_EXCEPTION.

void CPointPDFParticles::changeCoordinatesReference ( const CPose3D newReferenceBase)
virtual

this = p (+) this.

This can be used to convert a PDF from local coordinates to global, providing the point (newReferenceBase) from which "to project" the current pdf. Result PDF substituted the currently stored one in the object. Both the mean value and the covariance matrix are updated correctly.

Implements mrpt::utils::CProbabilityDensityFunction< CPoint3D, 3 >.

Definition at line 205 of file CPointPDFParticles.cpp.

References mrpt::poses::CPose3D::composePoint(), mrpt::math::TPoint3D::x, mrpt::math::TPoint3D::y, and mrpt::math::TPoint3D::z.

void CPointPDFParticles::clear ( )

Clear all the particles (free memory)

Definition at line 34 of file CPointPDFParticles.cpp.

References setSize().

Referenced by mrpt::maps::CBeaconMap::internal_insertObservation().

void mrpt::bayes::CParticleFilterData< TSimple3DPoint >::clearParticles ( )
inlineinherited

Free the memory of all the particles and reset the array "m_particles" to length zero.

Definition at line 183 of file CParticleFilterData.h.

CObject* mrpt::utils::CObject::clone ( ) const
inlineinherited

Cloning interface for smart pointers.

Definition at line 143 of file CObject.h.

double CPointPDFParticles::computeKurtosis ( )

Compute the kurtosis of the distribution.

Definition at line 223 of file CPointPDFParticles.cpp.

References mrpt::math::maximum(), MRPT_END, MRPT_START, and mrpt::math::square().

void CParticleFilterCapable::computeResampling ( CParticleFilter::TParticleResamplingAlgorithm  method,
const std::vector< double > &  in_logWeights,
std::vector< size_t > &  out_indexes,
size_t  out_particle_count = 0 
)
staticinherited

A static method to perform the computation of the samples resulting from resampling a given set of particles, given their logarithmic weights, and a resampling method.

It returns the sequence of indexes from the resampling. The number of output samples is the same than the input population. This generic method just computes these indexes, to actually perform a resampling in a particle filter object, call performResampling

Parameters
[in]out_particle_countThe desired number of output particles after resampling; 0 means don't modify the current number.
See Also
performResampling

Definition at line 64 of file CParticleFilterCapable.cpp.

References ASSERT_, mrpt::random::CRandomGenerator::drawUniform(), mrpt::random::CRandomGenerator::drawUniformVector(), mrpt::format(), int(), mrpt::math::maximum(), MRPT_END, MRPT_START, R, mrpt::random::randomGenerator, and THROW_EXCEPTION.

void CPointPDFParticles::copyFrom ( const CPointPDF o)
virtual

Copy operator, translating if necesary (for example, between particles and gaussian representations)

Implements mrpt::poses::CPointPDF.

Definition at line 175 of file CPointPDFParticles.cpp.

References THROW_EXCEPTION.

static CPointPDFParticlesPtr mrpt::poses::CPointPDFParticles::Create ( )
static
static mrpt::utils::CObject* mrpt::poses::CPointPDFParticles::CreateObject ( )
static
static double mrpt::bayes::CParticleFilterCapable::defaultEvaluator ( const bayes::CParticleFilter::TParticleFilterOptions PF_options,
const CParticleFilterCapable obj,
size_t  index,
const void action,
const void observation 
)
inlinestaticinherited

The default evaluator function, which simply returns the particle weight.

The action and the observation are declared as "void*" for a greater flexibility.

See Also
prepareFastDrawSample

Definition at line 65 of file CParticleFilterCapable.h.

References mrpt::bayes::CParticleFilterCapable::getW(), and MRPT_UNUSED_PARAM.

CRTP helper method.

Definition at line 34 of file CParticleFilterData.h.

CRTP helper method.

Definition at line 36 of file CParticleFilterData.h.

virtual void mrpt::utils::CProbabilityDensityFunction< CPoint3D , STATE_LEN >::drawManySamples ( size_t  N,
std::vector< mrpt::math::CVectorDouble > &  outSamples 
) const
inlinevirtualinherited

Draws a number of samples from the distribution, and saves as a list of 1xSTATE_LEN vectors, where each row contains a (x,y,z,yaw,pitch,roll) datum.

This base method just call N times to drawSingleSample, but derived classes should implemented optimized method for each particular PDF.

Definition at line 125 of file CProbabilityDensityFunction.h.

void CPointPDFParticles::drawSingleSample ( CPoint3D outSample) const

Draw a sample from the pdf.

Definition at line 276 of file CPointPDFParticles.cpp.

References MRPT_UNUSED_PARAM, and THROW_EXCEPTION.

virtual void mrpt::utils::CProbabilityDensityFunction< CPoint3D , STATE_LEN >::drawSingleSample ( CPoint3D &  outPart) const
pure virtualinherited

Draws a single sample from the distribution.

virtual mrpt::utils::CObject* mrpt::poses::CPointPDFParticles::duplicate ( ) const
virtual

Returns a copy of the object, indepently of its class.

Implements mrpt::utils::CObject.

mrpt::utils::CObjectPtr mrpt::utils::CObject::duplicateGetSmartPtr ( ) const
inlineinherited

Returns a copy of the object, indepently of its class, as a smart pointer (the newly created object will exist as long as any copy of this smart pointer).

Definition at line 140 of file CObject.h.

Referenced by mrpt::obs::CRawlog::addActions(), mrpt::slam::CIncrementalMapPartitioner::addMapFrame(), and mrpt::obs::CRawlog::addObservations().

Returns the normalized ESS (Estimated Sample Size), in the range [0,1].

Note that you do NOT need to normalize the weights before calling this.

Implements mrpt::bayes::CParticleFilterCapable.

Definition at line 78 of file CParticleFilterData.h.

size_t CParticleFilterCapable::fastDrawSample ( const bayes::CParticleFilter::TParticleFilterOptions PF_options) const
inherited

Draws a random sample from the particle filter, in such a way that each particle has a probability proportional to its weight (in the standard PF algorithm).

This method can be used to generate a variable number of m_particles when resampling: to vary the number of m_particles in the filter. See prepareFastDrawSample for more information, or the Particle Filter tutorial.

NOTES:

  • You MUST call "prepareFastDrawSample" ONCE before calling this method. That method must be called after modifying the particle filter (executing one step, resampling, etc...)
  • This method returns ONE index for the selected ("drawn") particle, in the range [0,M-1]
  • You do not need to call "normalizeWeights" before calling this.
    See Also
    prepareFastDrawSample

Definition at line 454 of file CParticleFilterCapable.cpp.

References mrpt::bayes::CParticleFilter::TParticleFilterOptions::adaptiveSampleSize, mrpt::random::CRandomGenerator::drawUniform(), MRPT_END, MRPT_END_WITH_CLEAN_UP, MRPT_START, mrpt::random::randomGenerator, mrpt::bayes::CParticleFilter::TParticleFilterOptions::resamplingMethod, and THROW_EXCEPTION.

Referenced by mrpt::hmtslam::CLSLAM_RBPF_2DLASER::prediction_and_update_pfAuxiliaryPFOptimal().

template<class OPENGL_SETOFOBJECTSPTR >
void mrpt::poses::CPointPDF::getAs3DObject ( OPENGL_SETOFOBJECTSPTR &  out_obj) const
inlineinherited

Returns a 3D representation of this PDF (it doesn't clear the current contents of out_obj, but append new OpenGL objects to that list)

Note
Needs the mrpt-opengl library, and using mrpt::opengl::CSetOfObjectsPtr as template argument.
By default, ellipsoids for the confidence intervals of "q=3" are drawn; for more mathematical details, see CGeneralizedEllipsoidTemplate::setQuantiles()

Definition at line 65 of file CPointPDF.h.

References mrpt::opengl::posePDF2opengl().

template<class OPENGL_SETOFOBJECTSPTR , class OPENGL_SETOFOBJECTS >
OPENGL_SETOFOBJECTSPTR mrpt::poses::CPointPDF::getAs3DObject ( ) const
inlineinherited

Returns a 3D representation of this PDF.

Note
Needs the mrpt-opengl library, and using mrpt::opengl::CSetOfObjectsPtr as template argument.

Definition at line 74 of file CPointPDF.h.

References mrpt::opengl::posePDF2opengl().

void mrpt::utils::CProbabilityDensityFunction< CPoint3D , STATE_LEN >::getCovariance ( mrpt::math::CMatrixDouble cov) const
inlineinherited

Returns the estimate of the covariance matrix (STATE_LEN x STATE_LEN covariance matrix)

See Also
getMean, getCovarianceAndMean, getInformationMatrix

Definition at line 68 of file CProbabilityDensityFunction.h.

void mrpt::utils::CProbabilityDensityFunction< CPoint3D , STATE_LEN >::getCovariance ( mrpt::math::CMatrixFixedNumeric< double, STATE_LEN, STATE_LEN > &  cov) const
inlineinherited

Returns the estimate of the covariance matrix (STATE_LEN x STATE_LEN covariance matrix)

See Also
getMean, getCovarianceAndMean, getInformationMatrix

Definition at line 77 of file CProbabilityDensityFunction.h.

mrpt::math::CMatrixFixedNumeric<double,STATE_LEN,STATE_LEN> mrpt::utils::CProbabilityDensityFunction< CPoint3D , STATE_LEN >::getCovariance ( ) const
inlineinherited

Returns the estimate of the covariance matrix (STATE_LEN x STATE_LEN covariance matrix)

See Also
getMean, getInformationMatrix

Definition at line 86 of file CProbabilityDensityFunction.h.

virtual void mrpt::utils::CProbabilityDensityFunction< CPoint3D , STATE_LEN >::getCovarianceAndMean ( mrpt::math::CMatrixFixedNumeric< double, STATE_LEN, STATE_LEN > &  cov,
CPoint3D &  mean_point 
) const
pure virtualinherited

Returns an estimate of the pose covariance matrix (STATE_LENxSTATE_LEN cov matrix) and the mean, both at once.

See Also
getMean, getInformationMatrix
void CPointPDFParticles::getCovarianceAndMean ( mrpt::math::CMatrixDouble33 cov,
CPoint3D mean_point 
) const

Returns an estimate of the point covariance matrix (3x3 cov matrix) and the mean, both at once.

See Also
getMean

Definition at line 90 of file CPointPDFParticles.cpp.

References mrpt::math::cov(), MRPT_END, MRPT_START, mrpt::math::square(), mrpt::poses::CPoseOrPoint< DERIVEDCLASS >::x(), and mrpt::poses::CPoseOrPoint< DERIVEDCLASS >::y().

Referenced by mrpt::maps::CBeaconMap::internal_insertObservation().

void mrpt::utils::CProbabilityDensityFunction< CPoint3D , STATE_LEN >::getCovarianceDynAndMean ( mrpt::math::CMatrixDouble cov,
CPoint3D &  mean_point 
) const
inlineinherited

Returns an estimate of the pose covariance matrix (STATE_LENxSTATE_LEN cov matrix) and the mean, both at once.

See Also
getMean, getInformationMatrix

Definition at line 48 of file CProbabilityDensityFunction.h.

double mrpt::utils::CProbabilityDensityFunction< CPoint3D , STATE_LEN >::getCovarianceEntropy ( ) const
inlineinherited

Compute the entropy of the estimated covariance matrix.

See Also
http://en.wikipedia.org/wiki/Multivariate_normal_distribution#Entropy

Definition at line 144 of file CProbabilityDensityFunction.h.

virtual void mrpt::utils::CProbabilityDensityFunction< CPoint3D , STATE_LEN >::getInformationMatrix ( mrpt::math::CMatrixFixedNumeric< double, STATE_LEN, STATE_LEN > &  inf) const
inlinevirtualinherited

Returns the information (inverse covariance) matrix (a STATE_LEN x STATE_LEN matrix) Unless reimplemented in derived classes, this method first reads the covariance, then invert it.

See Also
getMean, getCovarianceAndMean

Definition at line 106 of file CProbabilityDensityFunction.h.

virtual void mrpt::utils::CProbabilityDensityFunction< CPoint3D , STATE_LEN >::getMean ( CPoint3D &  mean_point) const
pure virtualinherited

Returns the mean, or mathematical expectation of the probability density distribution (PDF).

See Also
getCovarianceAndMean, getInformationMatrix
void CPointPDFParticles::getMean ( CPoint3D mean_point) const

Returns an estimate of the point, (the mean, or mathematical expectation of the PDF)

See Also
getCovariance

Definition at line 58 of file CPointPDFParticles.cpp.

References ASSERT_, MRPT_END, MRPT_START, THROW_EXCEPTION, mrpt::poses::CPoseOrPoint< DERIVEDCLASS >::x(), and mrpt::poses::CPoseOrPoint< DERIVEDCLASS >::y().

CPoint3D mrpt::utils::CProbabilityDensityFunction< CPoint3D , STATE_LEN >::getMeanVal ( ) const
inlineinherited

Returns the mean, or mathematical expectation of the probability density distribution (PDF).

See Also
getCovariance, getInformationMatrix

Definition at line 58 of file CProbabilityDensityFunction.h.

const CParticleData* mrpt::bayes::CParticleFilterData< TSimple3DPoint >::getMostLikelyParticle ( ) const
inlineinherited

Returns the particle with the highest weight.

Definition at line 240 of file CParticleFilterData.h.

virtual const mrpt::utils::TRuntimeClassId* mrpt::poses::CPointPDFParticles::GetRuntimeClass ( ) const
virtual

Returns information about the class of an object in runtime.

Reimplemented from mrpt::poses::CPointPDF.

Access to i'th particle (logarithm) weight, where first one is index 0.

Implements mrpt::bayes::CParticleFilterCapable.

Definition at line 38 of file CParticleFilterData.h.

void mrpt::bayes::CParticleFilterData< TSimple3DPoint >::getWeights ( std::vector< double > &  out_logWeights) const
inlineinherited

Returns a vector with the sequence of the logaritmic weights of all the samples.

Definition at line 227 of file CParticleFilterData.h.

static bool mrpt::poses::CPointPDF::is_3D ( )
inlinestaticinherited

Definition at line 56 of file CPointPDF.h.

static bool mrpt::poses::CPointPDF::is_PDF ( )
inlinestaticinherited

Definition at line 58 of file CPointPDF.h.

virtual bool mrpt::utils::CProbabilityDensityFunction< CPoint3D , STATE_LEN >::isInfType ( ) const
inlinevirtualinherited

Returns whether the class instance holds the uncertainty in covariance or information form.

Note
By default this is going to be covariance form. *Inf classes (e.g. CPosePDFGaussianInf) store it in information form.
See Also
mrpt::traits::is_inf_type

Definition at line 100 of file CProbabilityDensityFunction.h.

void CParticleFilterCapable::log2linearWeights ( const std::vector< double > &  in_logWeights,
std::vector< double > &  out_linWeights 
)
staticinherited

A static method to compute the linear, normalized (the sum the unity) weights from log-weights.

See Also
performResampling

Definition at line 509 of file CParticleFilterCapable.cpp.

References ASSERT_, MRPT_END, and MRPT_START.

double mrpt::bayes::CParticleFilterDataImpl< CPointPDFParticles , mrpt::bayes::CParticleFilterData< TSimple3DPoint >::CParticleList >::normalizeWeights ( double *  out_max_log_w = NULL)
inlinevirtualinherited

Normalize the (logarithmic) weights, such as the maximum weight is zero.

Parameters
out_max_log_wIf provided, will return with the maximum log_w before normalizing, such as new_weights = old_weights - max_log_w.
Returns
The max/min ratio of weights ("dynamic range")

Implements mrpt::bayes::CParticleFilterCapable.

Definition at line 55 of file CParticleFilterData.h.

void mrpt::poses::CPointPDFParticles::operator delete ( void memory,
void ptr 
)
throw (
)
inline

Definition at line 60 of file CPointPDFParticles.h.

void mrpt::poses::CPointPDFParticles::operator delete ( void ptr,
const std::nothrow_t &   
)
throw (
)
inline

Definition at line 60 of file CPointPDFParticles.h.

void mrpt::poses::CPointPDFParticles::operator delete ( void ptr)
throw (
)
inline

Definition at line 60 of file CPointPDFParticles.h.

void mrpt::poses::CPointPDFParticles::operator delete[] ( void ptr)
throw (
)
inline

Definition at line 60 of file CPointPDFParticles.h.

static void* mrpt::poses::CPointPDFParticles::operator new ( size_t  size,
void ptr 
)
inlinestatic

Definition at line 60 of file CPointPDFParticles.h.

void* mrpt::poses::CPointPDFParticles::operator new ( size_t  size)
inline

Definition at line 60 of file CPointPDFParticles.h.

void* mrpt::poses::CPointPDFParticles::operator new ( size_t  size,
const std::nothrow_t &   
)
throw (
)
inline

Definition at line 60 of file CPointPDFParticles.h.

void* mrpt::poses::CPointPDFParticles::operator new[] ( size_t  size)
inline

Definition at line 60 of file CPointPDFParticles.h.

Get the m_particles count.

Implements mrpt::bayes::CParticleFilterCapable.

Definition at line 50 of file CParticleFilterData.h.

void CParticleFilterCapable::performResampling ( const bayes::CParticleFilter::TParticleFilterOptions PF_options,
size_t  out_particle_count = 0 
)
inherited

Performs a resample of the m_particles, using the method selected in the constructor.

After computing the surviving samples, this method internally calls "performSubstitution" to actually perform the particle replacement. This method is called automatically by CParticleFilter::execute, andshould not be invoked manually normally. To just obtaining the sequence of resampled indexes from a sequence of weights, use "resample"

Parameters
[in]out_particle_countThe desired number of output particles after resampling; 0 means don't modify the current number.
See Also
resample

Definition at line 29 of file CParticleFilterCapable.cpp.

References ASSERT_, MRPT_END, MRPT_START, and mrpt::bayes::CParticleFilter::TParticleFilterOptions::resamplingMethod.

Referenced by mrpt::bayes::CParticleFilter::executeOn().

void mrpt::bayes::CParticleFilterDataImpl< CPointPDFParticles , mrpt::bayes::CParticleFilterData< TSimple3DPoint >::CParticleList >::performSubstitution ( const std::vector< size_t > &  indx)
inlinevirtualinherited

Replaces the old particles by copies determined by the indexes in "indx", performing an efficient copy of the necesary particles only and allowing the number of particles to change.

Implements mrpt::bayes::CParticleFilterCapable.

Definition at line 98 of file CParticleFilterData.h.

void CParticleFilterCapable::prediction_and_update ( const mrpt::obs::CActionCollection action,
const mrpt::obs::CSensoryFrame observation,
const bayes::CParticleFilter::TParticleFilterOptions PF_options 
)
inherited

Performs the prediction stage of the Particle Filter.

This method simply selects the appropiate protected method according to the particle filter algorithm to run.

See Also
prediction_and_update_pfStandardProposal,prediction_and_update_pfAuxiliaryPFStandard,prediction_and_update_pfOptimalProposal,prediction_and_update_pfAuxiliaryPFOptimal

Definition at line 272 of file CParticleFilterCapable.cpp.

References mrpt::bayes::CParticleFilter::TParticleFilterOptions::PF_algorithm, and THROW_EXCEPTION.

Referenced by mrpt::bayes::CParticleFilter::executeOn().

void CParticleFilterCapable::prediction_and_update_pfAuxiliaryPFOptimal ( const mrpt::obs::CActionCollection action,
const mrpt::obs::CSensoryFrame observation,
const bayes::CParticleFilter::TParticleFilterOptions PF_options 
)
protectedvirtualinherited

Performs the particle filter prediction/update stages for the algorithm "pfAuxiliaryPFOptimal" (if not implemented in heritated class, it will raise a 'non-implemented' exception).

See Also
prediction_and_update

Reimplemented in mrpt::hmtslam::CLocalMetricHypothesis, mrpt::slam::CMonteCarloLocalization2D, mrpt::maps::CMultiMetricMapPDF, and mrpt::slam::CMonteCarloLocalization3D.

Definition at line 336 of file CParticleFilterCapable.cpp.

References MRPT_UNUSED_PARAM, and THROW_EXCEPTION.

void CParticleFilterCapable::prediction_and_update_pfAuxiliaryPFStandard ( const mrpt::obs::CActionCollection action,
const mrpt::obs::CSensoryFrame observation,
const bayes::CParticleFilter::TParticleFilterOptions PF_options 
)
protectedvirtualinherited

Performs the particle filter prediction/update stages for the algorithm "pfAuxiliaryPFStandard" (if not implemented in heritated class, it will raise a 'non-implemented' exception).

See Also
prediction_and_update

Reimplemented in mrpt::slam::CMonteCarloLocalization2D, mrpt::maps::CMultiMetricMapPDF, and mrpt::slam::CMonteCarloLocalization3D.

Definition at line 314 of file CParticleFilterCapable.cpp.

References MRPT_UNUSED_PARAM, and THROW_EXCEPTION.

void CParticleFilterCapable::prediction_and_update_pfOptimalProposal ( const mrpt::obs::CActionCollection action,
const mrpt::obs::CSensoryFrame observation,
const bayes::CParticleFilter::TParticleFilterOptions PF_options 
)
protectedvirtualinherited

Performs the particle filter prediction/update stages for the algorithm "pfOptimalProposal" (if not implemented in heritated class, it will raise a 'non-implemented' exception).

See Also
prediction_and_update

Reimplemented in mrpt::hmtslam::CLocalMetricHypothesis, and mrpt::maps::CMultiMetricMapPDF.

Definition at line 325 of file CParticleFilterCapable.cpp.

References MRPT_UNUSED_PARAM, and THROW_EXCEPTION.

void CParticleFilterCapable::prediction_and_update_pfStandardProposal ( const mrpt::obs::CActionCollection action,
const mrpt::obs::CSensoryFrame observation,
const bayes::CParticleFilter::TParticleFilterOptions PF_options 
)
protectedvirtualinherited

Performs the particle filter prediction/update stages for the algorithm "pfStandardProposal" (if not implemented in heritated class, it will raise a 'non-implemented' exception).

See Also
prediction_and_update

Reimplemented in mrpt::slam::CMonteCarloLocalization2D, mrpt::maps::CMultiMetricMapPDF, and mrpt::slam::CMonteCarloLocalization3D.

Definition at line 303 of file CParticleFilterCapable.cpp.

References MRPT_UNUSED_PARAM, and THROW_EXCEPTION.

void CParticleFilterCapable::prepareFastDrawSample ( const bayes::CParticleFilter::TParticleFilterOptions PF_options,
TParticleProbabilityEvaluator  partEvaluator = defaultEvaluator,
const void action = NULL,
const void observation = NULL 
) const
inherited

Prepares data structures for calling fastDrawSample method next.

This method must be called once before using "fastDrawSample" (calling this more than once has no effect, but it takes time for nothing!) The behavior depends on the configuration of the PF (see CParticleFilter::TParticleFilterOptions):

  • DYNAMIC SAMPLE SIZE=NO: In this case this method fills out an internal array (m_fastDrawAuxiliary.alreadyDrawnIndexes) with the random indexes generated according to the selected resample scheme in TParticleFilterOptions. Those indexes are read sequentially by subsequent calls to fastDrawSample.
  • DYNAMIC SAMPLE SIZE=YES: Then:
    • If TParticleFilterOptions.resamplingMethod = prMultinomial, the internal buffers will be filled out (m_fastDrawAuxiliary.CDF, CDF_indexes & PDF) and then fastDrawSample can be called an arbitrary number of times to generate random indexes.
    • For the rest of resampling algorithms, an exception will be raised since they are not appropriate for a dynamic (unknown in advance) number of particles.

The function pointed by "partEvaluator" should take into account the particle filter algorithm selected in "m_PFAlgorithm". If called without arguments (defaultEvaluator), the default behavior is to draw samples with a probability proportional to their current weights. The action and the observation are declared as "void*" for a greater flexibility. For a more detailed information see the Particle Filter tutorial. Custom supplied "partEvaluator" functions must take into account the previous particle weight, i.e. multiplying the current observation likelihood by the weights.

See Also
fastDrawSample

Definition at line 348 of file CParticleFilterCapable.cpp.

References mrpt::bayes::CParticleFilter::TParticleFilterOptions::adaptiveSampleSize, ASSERT_, int(), mrpt::math::maximum(), MRPT_CHECK_NORMAL_NUMBER, MRPT_END, MRPT_END_WITH_CLEAN_UP, MRPT_START, mrpt::bayes::CParticleFilter::TParticleFilterOptions::resamplingMethod, and THROW_EXCEPTION.

Referenced by mrpt::hmtslam::CLSLAM_RBPF_2DLASER::prediction_and_update_pfAuxiliaryPFOptimal().

void CPointPDFParticles::readFromStream ( mrpt::utils::CStream in,
int  version 
)
protectedvirtual

Introduces a pure virtual method responsible for loading from a CStream This can not be used directly be users, instead use "stream >> object;" for reading it from a stream or "stream >> object_ptr;" if the class is unknown apriori.

Parameters
inThe input binary stream where the object data must read from.
versionThe version of the object stored in the stream: use this version number in your code to know how to read the incoming data.
Exceptions
std::exceptionOn any error, see CStream::ReadBuffer
See Also
CStream

Implements mrpt::utils::CSerializable.

Definition at line 156 of file CPointPDFParticles.cpp.

References MRPT_THROW_UNKNOWN_SERIALIZATION_VERSION, and setSize().

void mrpt::bayes::CParticleFilterData< TSimple3DPoint >::readParticlesFromStream ( STREAM &  in)
inlineinherited

Reads the sequence of particles and their weights from a stream (requires T implementing CSerializable).

See Also
writeParticlesToStream

Definition at line 207 of file CParticleFilterData.h.

void CPointPDFParticles::saveToTextFile ( const std::string file) const
virtual

Save PDF's particles to a text file, where each line is: X Y Z LOG_W.

Implements mrpt::utils::CProbabilityDensityFunction< CPoint3D, 3 >.

Definition at line 186 of file CPointPDFParticles.cpp.

References mrpt::system::os::fclose(), mrpt::system::os::fopen(), mrpt::system::os::fprintf(), MRPT_END, and MRPT_START.

void CPointPDFParticles::setSize ( size_t  numberParticles,
const CPoint3D defaultValue = CPoint3D(0,0,0) 
)

Erase all the previous particles and change the number of particles, with a given initial value.

Definition at line 41 of file CPointPDFParticles.cpp.

Referenced by mrpt::maps::CBeaconMap::internal_insertObservation().

Modifies i'th particle (logarithm) weight, where first one is index 0.

Implements mrpt::bayes::CParticleFilterCapable.

Definition at line 44 of file CParticleFilterData.h.

size_t mrpt::poses::CPointPDFParticles::size ( ) const
inline

Returns the number of particles.

Definition at line 73 of file CPointPDFParticles.h.

Referenced by mrpt::opengl::CSetOfObjects::posePDF2opengl().

void mrpt::bayes::CParticleFilterData< TSimple3DPoint >::writeParticlesToStream ( STREAM &  out) const
inlineinherited

Dumps the sequence of particles and their weights to a stream (requires T implementing CSerializable).

See Also
readParticlesFromStream

Definition at line 192 of file CParticleFilterData.h.

virtual mxArray* mrpt::utils::CSerializable::writeToMatlab ( ) const
inlinevirtualinherited

Introduces a pure virtual method responsible for writing to a mxArray Matlab object, typically a MATLAB struct whose contents are documented in each derived class.

Returns
A new mxArray (caller is responsible of memory freeing) or NULL is class does not support conversion to MATLAB.

Definition at line 79 of file CSerializable.h.

void CPointPDFParticles::writeToStream ( mrpt::utils::CStream out,
int getVersion 
) const
protectedvirtual

Introduces a pure virtual method responsible for writing to a CStream.

This can not be used directly be users, instead use "stream << object;" for writing it to a stream.

Parameters
outThe output binary stream where object must be dumped.
getVersionIf NULL, the object must be dumped. If not, only the version of the object dump must be returned in this pointer. This enables the versioning of objects dumping and backward compatibility with previously stored data.
Exceptions
std::exceptionOn any error, see CStream::WriteBuffer
See Also
CStream

Implements mrpt::utils::CSerializable.

Definition at line 139 of file CPointPDFParticles.cpp.

Member Data Documentation

mrpt::utils::CLASSINIT mrpt::poses::CPointPDFParticles::_init_CPointPDFParticles
staticprotected

Definition at line 60 of file CPointPDFParticles.h.

const mrpt::utils::TRuntimeClassId mrpt::utils::CObject::classCObject
staticinherited

Definition at line 128 of file CObject.h.

const mrpt::utils::TRuntimeClassId mrpt::poses::CPointPDF::classCPointPDF
staticinherited

Definition at line 40 of file CPointPDF.h.

mrpt::utils::TRuntimeClassId mrpt::poses::CPointPDFParticles::classCPointPDFParticles
static

Definition at line 60 of file CPointPDFParticles.h.

const mrpt::utils::TRuntimeClassId mrpt::utils::CSerializable::classCSerializable
staticinherited

Definition at line 42 of file CSerializable.h.

const mrpt::utils::TRuntimeClassId* mrpt::poses::CPointPDFParticles::classinfo
static

Definition at line 60 of file CPointPDFParticles.h.

TFastDrawAuxVars mrpt::bayes::CParticleFilterCapable::m_fastDrawAuxiliary
mutableprotectedinherited

Auxiliary vectors, see CParticleFilterCapable::prepareFastDrawSample for more information.

Definition at line 233 of file CParticleFilterCapable.h.

The array of particles.

Definition at line 177 of file CParticleFilterData.h.

const size_t mrpt::utils::CProbabilityDensityFunction< CPoint3D , STATE_LEN >::state_length
staticinherited

The length of the variable, for example, 3 for a 3D point, 6 for a 3D pose (x y z yaw pitch roll).

Definition at line 31 of file CProbabilityDensityFunction.h.

Referenced by mrpt::poses::CPointPDFGaussian::productIntegralWith(), and mrpt::poses::CPointPDFGaussian::productIntegralWith2D().




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