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:

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< CParticleData >	CParticleList
	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
void *	operator new (size_t size)

void *	operator new[] (size_t size)

void	operator delete (void *ptr) throw ()

void	operator delete[] (void *ptr) throw ()

void	operator delete (void memory, void ptr) throw ()

void *	operator 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 mxArray *	writeToMatlab () 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...

CObject *	clone () 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 CParticleData *	getMostLikelyParticle () const
	Returns the particle with the highest weight. More...

const CPointPDFParticles &	derived () const
	CRTP helper method. More...

CPointPDFParticles &	derived ()
	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...

RTTI classes and functions
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...

Static Public Member Functions
static void *	operator 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::CObject *	duplicate () const
	Returns a copy of the object, indepently of its class. More...

static mrpt::utils::CObject *	CreateObject ()

static CPointPDFParticlesPtr	Create ()

Member Typedef Documentation

◆ ConstPtr

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

Definition at line 60 of file CPointPDFParticles.h.

◆ CParticleData

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.

◆ CParticleDataContent

typedef TSimple3DPoint mrpt::bayes::CParticleFilterData< TSimple3DPoint >::CParticleDataContent

inherited

This is the type inside the corresponding CParticleData class.

Definition at line 173 of file CParticleFilterData.h.

◆ CParticleList

typedef std::deque<CParticleData> mrpt::bayes::CParticleFilterData< TSimple3DPoint >::CParticleList

inherited

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

Definition at line 175 of file CParticleFilterData.h.

◆ Ptr

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

A typedef for the associated smart pointer

Definition at line 60 of file CPointPDFParticles.h.

◆ self_t

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

inherited

Definition at line 33 of file CProbabilityDensityFunction.h.

◆ TParticleProbabilityEvaluator

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

index	This is the index of the particle its probability is being computed.
action	The value of this is the parameter passed to "prepareFastDrawSample"
observation	The 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.

◆ type_value

typedef CPoint3D mrpt::utils::CProbabilityDensityFunction< CPoint3D , STATE_LEN >::type_value

inherited

The type of the state the PDF represents.

Definition at line 32 of file CProbabilityDensityFunction.h.

Member Enumeration Documentation

◆ anonymous enum

anonymous enum

inherited

Enumerator
is_3D_val

Definition at line 55 of file CPointPDF.h.

◆ anonymous enum

anonymous enum

inherited

Enumerator
is_PDF_val

Definition at line 57 of file CPointPDF.h.

Constructor & Destructor Documentation

◆ CPointPDFParticles()

CPointPDFParticles::CPointPDFParticles ( size_t numParticles = 1 )

Default constructor.

Definition at line 28 of file CPointPDFParticles.cpp.

References setSize().

Member Function Documentation

◆ _GetBaseClass()

static const mrpt::utils::TRuntimeClassId* mrpt::poses::CPointPDFParticles::_GetBaseClass ( )

staticprotected

◆ bayesianFusion()

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

p1	The first distribution to fuse
p2	The second distribution to fuse
minMahalanobisDistToDrop	If 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.

◆ changeCoordinatesReference()

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.

◆ clear()

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().

◆ clearParticles()

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.

◆ clone()

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

inlineinherited

Cloning interface for smart pointers.

Definition at line 133 of file CObject.h.

◆ computeKurtosis()

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().

◆ computeResampling()

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_count The 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(), mrpt::math::maximum(), MRPT_END, MRPT_START, R, mrpt::random::randomGenerator, and THROW_EXCEPTION.

◆ copyFrom()

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.

◆ Create()

static CPointPDFParticlesPtr mrpt::poses::CPointPDFParticles::Create ( )

static

◆ CreateObject()

static mrpt::utils::CObject* mrpt::poses::CPointPDFParticles::CreateObject ( )

static

◆ defaultEvaluator()

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_UNUSED_PARAM.

◆ derived() [1/2]

const CPointPDFParticles & mrpt::bayes::CParticleFilterDataImpl< CPointPDFParticles , mrpt::bayes::CParticleFilterData< TSimple3DPoint >::CParticleList >::derived ( ) const

inlineinherited

CRTP helper method.

Definition at line 34 of file CParticleFilterData.h.

◆ derived() [2/2]

CPointPDFParticles & mrpt::bayes::CParticleFilterDataImpl< CPointPDFParticles , mrpt::bayes::CParticleFilterData< TSimple3DPoint >::CParticleList >::derived ( )

inlineinherited

CRTP helper method.

Definition at line 36 of file CParticleFilterData.h.

◆ drawManySamples()

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.

◆ drawSingleSample() [1/2]

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.

◆ drawSingleSample() [2/2]

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

pure virtualinherited

Draws a single sample from the distribution.

◆ duplicate()

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

virtual

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

Implements mrpt::utils::CObject.

◆ duplicateGetSmartPtr()

mrpt::utils::CObjectPtr 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 162 of file CObject.h.

References mrpt::utils::CObjectPtr.

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

◆ ESS()

double mrpt::bayes::CParticleFilterDataImpl< CPointPDFParticles , mrpt::bayes::CParticleFilterData< TSimple3DPoint >::CParticleList >::ESS ( ) const

inlinevirtualinherited

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.

◆ fastDrawSample()

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().

◆ getAs3DObject() [1/2]

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().

◆ getAs3DObject() [2/2]

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().

◆ getCovariance() [1/3]

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.

◆ getCovariance() [2/3]

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.

◆ getCovariance() [3/3]

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.

◆ getCovarianceAndMean() [1/2]

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

◆ getCovarianceAndMean() [2/2]

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(), mean(), MRPT_END, MRPT_START, and mrpt::math::square().

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

◆ getCovarianceDynAndMean()

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.

◆ getCovarianceEntropy()

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.

◆ getInformationMatrix()

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.

◆ getMean() [1/2]

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

◆ getMean() [2/2]

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, and THROW_EXCEPTION.

◆ getMeanVal()

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.

◆ getMostLikelyParticle()

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

inlineinherited

Returns the particle with the highest weight.

Definition at line 240 of file CParticleFilterData.h.

◆ GetRuntimeClass()

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.

◆ getW()

double mrpt::bayes::CParticleFilterDataImpl< CPointPDFParticles , mrpt::bayes::CParticleFilterData< TSimple3DPoint >::CParticleList >::getW ( size_t i ) const

inlinevirtualinherited

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.

◆ getWeights()

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.

◆ is_3D()

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

inlinestaticinherited

Definition at line 56 of file CPointPDF.h.

◆ is_PDF()

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

inlinestaticinherited

Definition at line 58 of file CPointPDF.h.

◆ isInfType()

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.

◆ log2linearWeights()

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.

◆ normalizeWeights()

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_w If 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.

◆ operator delete() [1/3]

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

inline

Definition at line 60 of file CPointPDFParticles.h.

◆ operator delete() [2/3]

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

inline

Definition at line 60 of file CPointPDFParticles.h.

◆ operator delete() [3/3]

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

inline

Definition at line 60 of file CPointPDFParticles.h.

◆ operator delete[]()

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

inline

Definition at line 60 of file CPointPDFParticles.h.

◆ operator new() [1/3]

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

inlinestatic

Definition at line 60 of file CPointPDFParticles.h.

◆ operator new() [2/3]

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

inline

Definition at line 60 of file CPointPDFParticles.h.

◆ operator new() [3/3]

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

inline

Definition at line 60 of file CPointPDFParticles.h.

◆ operator new[]()

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

inline

Definition at line 60 of file CPointPDFParticles.h.

◆ particlesCount()

size_t mrpt::bayes::CParticleFilterDataImpl< CPointPDFParticles , mrpt::bayes::CParticleFilterData< TSimple3DPoint >::CParticleList >::particlesCount ( ) const

inlinevirtualinherited

Get the m_particles count.

Implements mrpt::bayes::CParticleFilterCapable.

Definition at line 50 of file CParticleFilterData.h.

◆ performResampling()

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_count The 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.

◆ performSubstitution()

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.

◆ prediction_and_update()

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.

◆ prediction_and_update_pfAuxiliaryPFOptimal()

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.

◆ prediction_and_update_pfAuxiliaryPFStandard()

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.

◆ prediction_and_update_pfOptimalProposal()

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.

◆ prediction_and_update_pfStandardProposal()

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.

◆ prepareFastDrawSample()

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_, 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().

◆ readFromStream()

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

in	The input binary stream where the object data must read from.
version	The 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::exception On 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, setSize(), and version.

◆ readParticlesFromStream()

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.

◆ saveToTextFile()

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.

◆ setSize()

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().

◆ setW()

void mrpt::bayes::CParticleFilterDataImpl< CPointPDFParticles , mrpt::bayes::CParticleFilterData< TSimple3DPoint >::CParticleList >::setW	(	size_t	i,
		double	w
	)

inlinevirtualinherited

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()

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

inline

Returns the number of particles.

Definition at line 73 of file CPointPDFParticles.h.

◆ writeParticlesToStream()

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.

◆ writeToMatlab()

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.

◆ writeToStream()

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

out	The output binary stream where object must be dumped.
getVersion	If 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::exception On any error, see CStream::WriteBuffer

See also: CStream

Implements mrpt::utils::CSerializable.

Definition at line 139 of file CPointPDFParticles.cpp.

References version.

Member Data Documentation

◆ _init_CPointPDFParticles

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

staticprotected

Definition at line 60 of file CPointPDFParticles.h.

◆ classCObject

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

staticinherited

Definition at line 118 of file CObject.h.

◆ classCPointPDF

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

staticinherited

Definition at line 40 of file CPointPDF.h.

◆ classCPointPDFParticles

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

static

Definition at line 60 of file CPointPDFParticles.h.

◆ classCSerializable

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

staticinherited

Definition at line 42 of file CSerializable.h.

◆ classinfo

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

static

Definition at line 60 of file CPointPDFParticles.h.

◆ m_fastDrawAuxiliary

TFastDrawAuxVars mrpt::bayes::CParticleFilterCapable::m_fastDrawAuxiliary

mutableprotectedinherited

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

Definition at line 233 of file CParticleFilterCapable.h.

◆ m_particles

CParticleList mrpt::bayes::CParticleFilterData< TSimple3DPoint >::m_particles

inherited

The array of particles.

Definition at line 177 of file CParticleFilterData.h.

◆ state_length

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().

Detailed Description

Public Types

Public Member Functions

Static Public Member Functions

Public Attributes

Static Public Attributes

Protected Member Functions

Protected Attributes

RTTI stuff

Member Typedef Documentation

◆ ConstPtr

◆ CParticleData

◆ CParticleDataContent

◆ CParticleList

◆ Ptr

◆ self_t

◆ TParticleProbabilityEvaluator

◆ type_value

Member Enumeration Documentation

◆ anonymous enum

◆ anonymous enum

Constructor & Destructor Documentation

◆ CPointPDFParticles()

Member Function Documentation

◆ _GetBaseClass()

◆ bayesianFusion()

◆ changeCoordinatesReference()

◆ clear()

◆ clearParticles()

◆ clone()

◆ computeKurtosis()

◆ computeResampling()

◆ copyFrom()

◆ Create()

◆ CreateObject()

◆ defaultEvaluator()

◆ derived() [1/2]

◆ derived() [2/2]

◆ drawManySamples()

◆ drawSingleSample() [1/2]

◆ drawSingleSample() [2/2]

◆ duplicate()

◆ duplicateGetSmartPtr()

◆ ESS()

◆ fastDrawSample()

◆ getAs3DObject() [1/2]

◆ getAs3DObject() [2/2]

◆ getCovariance() [1/3]

◆ getCovariance() [2/3]

◆ getCovariance() [3/3]

◆ getCovarianceAndMean() [1/2]

◆ getCovarianceAndMean() [2/2]

◆ getCovarianceDynAndMean()

◆ getCovarianceEntropy()

◆ getInformationMatrix()

◆ getMean() [1/2]

◆ getMean() [2/2]

◆ getMeanVal()

◆ getMostLikelyParticle()

◆ GetRuntimeClass()

◆ getW()

◆ getWeights()

◆ is_3D()

◆ is_PDF()

◆ isInfType()

◆ log2linearWeights()

◆ normalizeWeights()

◆ operator delete() [1/3]

◆ operator delete() [2/3]

◆ operator delete() [3/3]

◆ operator delete[]()

◆ operator new() [1/3]

◆ operator new() [2/3]

◆ operator new() [3/3]

◆ operator new[]()

◆ particlesCount()

◆ performResampling()

◆ performSubstitution()

◆ prediction_and_update()

◆ prediction_and_update_pfAuxiliaryPFOptimal()