MRPT  2.0.4
List of all members | Public Types | Public Member Functions | Static Public Member Functions | Public Attributes | Static Public Attributes | Protected Member Functions | Protected Attributes
mrpt::poses::CPose3DPDFParticles Class Referenceabstract

Detailed Description

Declares a class that represents a Probability Density function (PDF) of a 3D pose.

This class is also the base for the implementation of Monte-Carlo Localization (MCL), in mrpt::slam::CMonteCarloLocalization2D.

See the application "app/pf-localization" for an example of usage.

See also
CPose3D, CPose3DPDF, CPoseGaussianPDF

Definition at line 29 of file CPose3DPDFParticles.h.

#include <mrpt/poses/CPose3DPDFParticles.h>

Inheritance diagram for mrpt::poses::CPose3DPDFParticles:

Public Types

enum  { is_3D_val = 1 }
 
enum  { is_PDF_val = 1 }
 
using type_value = CPose3D
 The type of the state the PDF represents. More...
 
using self_t = CProbabilityDensityFunction< CPose3D, STATE_LEN >
 
using cov_mat_t = mrpt::math::CMatrixFixed< double, STATE_LEN, STATE_LEN >
 Covariance matrix type. More...
 
using inf_mat_t = cov_mat_t
 Information matrix type. More...
 
using CParticleDataContent = mrpt::math::TPose3D
 This is the type inside the corresponding CParticleData class. More...
 
using CParticleData = CProbabilityParticle< mrpt::math::TPose3D, STORAGE >
 Use this to refer to each element in the m_particles array. More...
 
using CParticleList = std::deque< CParticleData >
 Use this type to refer to the list of particles m_particles. More...
 
using TParticleProbabilityEvaluator = double(*)(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

 CPose3DPDFParticles (size_t M=1)
 Constructor. More...
 
void copyFrom (const CPose3DPDF &o) override
 Copy operator, translating if necesary (for example, between m_particles and gaussian representations) More...
 
void resetDeterministic (const mrpt::math::TPose3D &location, size_t particlesCount=0)
 Reset the PDF to a single point: All m_particles will be set exactly to the supplied pose. More...
 
void resetUniform (const mrpt::math::TPose3D &corner_min, const mrpt::math::TPose3D &corner_max, const int particlesCount=-1)
 Reset the PDF to an uniformly distributed one, inside of the defined "cube". More...
 
void getMean (CPose3D &mean_pose) const override
 Returns an estimate of the pose, (the mean, or mathematical expectation of the PDF), computed as a weighted average over all m_particles. More...
 
std::tuple< cov_mat_t, type_valuegetCovarianceAndMean () const override
 Returns an estimate of the pose covariance matrix (6x6 cov matrix) and the mean, both at once. More...
 
mrpt::math::TPose3D getParticlePose (int i) const
 Returns the pose of the i'th particle. More...
 
bool saveToTextFile (const std::string &file) const override
 Save PDF's m_particles to a text file. More...
 
size_t size () const
 Get the m_particles count (equivalent to "particlesCount") More...
 
void changeCoordinatesReference (const CPose3D &newReferenceBase) override
 this = p (+) this. More...
 
void drawSingleSample (CPose3D &outPart) const override
 Draws a single sample from the distribution (WARNING: weights are assumed to be normalized!) More...
 
void drawManySamples (size_t N, std::vector< mrpt::math::CVectorDouble > &outSamples) const override
 Draws a number of samples from the distribution, and saves as a list of 1x6 vectors, where each row contains a (x,y,phi) datum. More...
 
void operator+= (const CPose3D &Ap)
 Appends (pose-composition) a given pose "p" to each particle. More...
 
void append (CPose3DPDFParticles &o)
 Appends (add to the list) a set of m_particles to the existing ones, and then normalize weights. More...
 
void inverse (CPose3DPDF &o) const override
 Returns a new PDF such as: NEW_PDF = (0,0,0) - THIS_PDF. More...
 
mrpt::math::TPose3D getMostLikelyParticle () const
 Returns the particle with the highest weight. More...
 
void bayesianFusion (const CPose3DPDF &p1, const CPose3DPDF &p2) override
 Bayesian fusion. 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 >
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...
 
virtual void getMean (type_value &mean_point) const=0
 Returns the mean, or mathematical expectation of the probability density distribution (PDF). More...
 
virtual void getCovarianceAndMean (cov_mat_t &c, CPose3D &mean) const final
 
void getCovarianceDynAndMean (mrpt::math::CMatrixDouble &cov, type_value &mean_point) const
 Returns an estimate of the pose covariance matrix (STATE_LENxSTATE_LEN cov matrix) and the mean, both at once. More...
 
type_value 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 (cov_mat_t &cov) const
 Returns the estimate of the covariance matrix (STATE_LEN x STATE_LEN covariance matrix) More...
 
cov_mat_t 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 (inf_mat_t &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 (CPose3D &outPart) const=0
 Draws a single sample from the distribution. 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 CPose3DPDFParticlesderived () const
 CRTP helper method. More...
 
CPose3DPDFParticlesderived ()
 CRTP helper method. More...
 
double getW (size_t i) const override
 Access to i'th particle (logarithm) weight, where first one is index 0. More...
 
void setW (size_t i, double w) override
 Modifies i'th particle (logarithm) weight, where first one is index 0. More...
 
size_t particlesCount () const override
 Get the m_particles count. More...
 
double normalizeWeights (double *out_max_log_w=nullptr) override
 Normalize the (logarithmic) weights, such as the maximum weight is zero. More...
 
double ESS () const override
 Returns the normalized ESS (Estimated Sample Size), in the range [0,1]. More...
 
void performSubstitution (const std::vector< size_t > &indx) 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=nullptr, const void *observation=nullptr) 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 for polymorphic hierarchies
mrpt::rtti::CObject::Ptr duplicateGetSmartPtr () const
 Makes a deep copy of the object and returns a smart pointer to it. More...
 

Static Public Member Functions

static CPose3DPDFcreateFrom2D (const CPosePDF &o)
 This is a static transformation method from 2D poses to 3D PDFs, preserving the representation type (particles->particles, Gaussians->Gaussians,etc) More...
 
static void jacobiansPoseComposition (const CPose3D &x, const CPose3D &u, mrpt::math::CMatrixDouble66 &df_dx, mrpt::math::CMatrixDouble66 &df_du)
 This static method computes the pose composition Jacobians. More...
 
static constexpr bool is_3D ()
 
static constexpr bool is_PDF ()
 
static double defaultEvaluator ([[maybe_unused]] const bayes::CParticleFilter::TParticleFilterOptions &PF_options, [[maybe_unused]] const CParticleFilterCapable *obj, size_t index, [[maybe_unused]] const void *action, [[maybe_unused]] 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 constexpr 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...
 
static const particle_storage_mode PARTICLE_STORAGE
 

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
uint8_t serializeGetVersion () const override
 Must return the current versioning number of the object. More...
 
void serializeTo (mrpt::serialization::CArchive &out) const override
 Pure virtual method for writing (serializing) to an abstract archive. More...
 
void serializeFrom (mrpt::serialization::CArchive &in, uint8_t serial_version) override
 Pure virtual method for reading (deserializing) from an abstract archive. More...
 
CSerializable virtual methods
virtual void serializeTo (CSchemeArchiveBase &out) const
 Virtual method for writing (serializing) to an abstract schema based archive. More...
 
virtual void serializeFrom (CSchemeArchiveBase &in)
 Virtual method for reading (deserializing) from an abstract schema based archive. More...
 

Protected Attributes

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

RTTI stuff

using Ptr = std::shared_ptr< mrpt::poses ::CPose3DPDFParticles >
 
using ConstPtr = std::shared_ptr< const mrpt::poses ::CPose3DPDFParticles >
 
using UniquePtr = std::unique_ptr< mrpt::poses ::CPose3DPDFParticles >
 
using ConstUniquePtr = std::unique_ptr< const mrpt::poses ::CPose3DPDFParticles >
 
static const mrpt::rtti::TRuntimeClassId runtimeClassId
 
static constexpr const char * className = "mrpt::poses" "::" "CPose3DPDFParticles"
 
static const mrpt::rtti::TRuntimeClassId_GetBaseClass ()
 
static constexpr auto getClassName ()
 
static const mrpt::rtti::TRuntimeClassIdGetRuntimeClassIdStatic ()
 
static std::shared_ptr< CObjectCreateObject ()
 
template<typename... Args>
static Ptr Create (Args &&... args)
 
template<typename Alloc , typename... Args>
static Ptr CreateAlloc (const Alloc &alloc, Args &&... args)
 
template<typename... Args>
static UniquePtr CreateUnique (Args &&... args)
 
virtual const mrpt::rtti::TRuntimeClassIdGetRuntimeClass () const override
 Returns information about the class of an object in runtime. More...
 
virtual mrpt::rtti::CObjectclone () const override
 Returns a deep copy (clone) of the object, indepently of its class. More...
 

Member Typedef Documentation

◆ ConstPtr

Definition at line 39 of file CPose3DPDFParticles.h.

◆ ConstUniquePtr

using mrpt::poses::CPose3DPDFParticles::ConstUniquePtr = std::unique_ptr<const mrpt::poses :: CPose3DPDFParticles >

Definition at line 39 of file CPose3DPDFParticles.h.

◆ cov_mat_t

using mrpt::math::CProbabilityDensityFunction< CPose3D , STATE_LEN >::cov_mat_t = mrpt::math::CMatrixFixed<double, STATE_LEN, STATE_LEN>
inherited

Covariance matrix type.

Definition at line 37 of file CProbabilityDensityFunction.h.

◆ CParticleData

using mrpt::bayes::CParticleFilterData< mrpt::math::TPose3D , STORAGE >::CParticleData = CProbabilityParticle<mrpt::math::TPose3D , STORAGE>
inherited

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

Definition at line 190 of file CParticleFilterData.h.

◆ CParticleDataContent

This is the type inside the corresponding CParticleData class.

Definition at line 188 of file CParticleFilterData.h.

◆ CParticleList

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

Definition at line 192 of file CParticleFilterData.h.

◆ inf_mat_t

Information matrix type.

Definition at line 39 of file CProbabilityDensityFunction.h.

◆ Ptr

A type for the associated smart pointer

Definition at line 39 of file CPose3DPDFParticles.h.

◆ self_t

using mrpt::math::CProbabilityDensityFunction< CPose3D , STATE_LEN >::self_t = CProbabilityDensityFunction<CPose3D , STATE_LEN>
inherited

Definition at line 35 of file CProbabilityDensityFunction.h.

◆ TParticleProbabilityEvaluator

using mrpt::bayes::CParticleFilterCapable::TParticleProbabilityEvaluator = double (*)( 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 60 of file CParticleFilterCapable.h.

◆ type_value

The type of the state the PDF represents.

Definition at line 34 of file CProbabilityDensityFunction.h.

◆ UniquePtr

using mrpt::poses::CPose3DPDFParticles::UniquePtr = std::unique_ptr< mrpt::poses :: CPose3DPDFParticles >

Definition at line 39 of file CPose3DPDFParticles.h.

Member Enumeration Documentation

◆ anonymous enum

anonymous enum
inherited
Enumerator
is_3D_val 

Definition at line 101 of file CPose3DPDF.h.

◆ anonymous enum

anonymous enum
inherited
Enumerator
is_PDF_val 

Definition at line 106 of file CPose3DPDF.h.

Constructor & Destructor Documentation

◆ CPose3DPDFParticles()

CPose3DPDFParticles::CPose3DPDFParticles ( size_t  M = 1)

Constructor.

Parameters
MThe number of m_particles.

Definition at line 28 of file CPose3DPDFParticles.cpp.

Member Function Documentation

◆ _GetBaseClass()

static const mrpt::rtti::TRuntimeClassId* mrpt::poses::CPose3DPDFParticles::_GetBaseClass ( )
staticprotected

◆ append()

void CPose3DPDFParticles::append ( CPose3DPDFParticles o)

Appends (add to the list) a set of m_particles to the existing ones, and then normalize weights.

Definition at line 271 of file CPose3DPDFParticles.cpp.

References THROW_EXCEPTION.

◆ bayesianFusion()

void CPose3DPDFParticles::bayesianFusion ( const CPose3DPDF p1,
const CPose3DPDF p2 
)
overridevirtual

Bayesian fusion.

Implements mrpt::poses::CPose3DPDF.

Definition at line 304 of file CPose3DPDFParticles.cpp.

References THROW_EXCEPTION.

◆ changeCoordinatesReference()

void CPose3DPDFParticles::changeCoordinatesReference ( const CPose3D newReferenceBase)
overridevirtual

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.

Implements mrpt::poses::CPose3DPDF.

Definition at line 246 of file CPose3DPDFParticles.cpp.

◆ clearParticles()

void mrpt::bayes::CParticleFilterData< mrpt::math::TPose3D , STORAGE >::clearParticles ( )
inlineinherited

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

Definition at line 202 of file CParticleFilterData.h.

◆ clone()

virtual mrpt::rtti::CObject* mrpt::poses::CPose3DPDFParticles::clone ( ) const
overridevirtual

Returns a deep copy (clone) of the object, indepently of its class.

Implements mrpt::rtti::CObject.

◆ 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_countThe desired number of output particles after resampling; 0 means don't modify the current number.
See also
performResampling

Definition at line 61 of file CParticleFilterCapable.cpp.

References ASSERT_, mrpt::random::CRandomGenerator::drawUniform(), mrpt::random::CRandomGenerator::drawUniformVector(), mrpt::format(), mrpt::random::getRandomGenerator(), mrpt::math::maximum(), MRPT_END, MRPT_START, mrpt::bayes::CParticleFilter::prMultinomial, mrpt::bayes::CParticleFilter::prResidual, mrpt::bayes::CParticleFilter::prStratified, mrpt::bayes::CParticleFilter::prSystematic, R, and THROW_EXCEPTION.

Here is the call graph for this function:

◆ copyFrom()

void CPose3DPDFParticles::copyFrom ( const CPose3DPDF o)
overridevirtual

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

Implements mrpt::poses::CPose3DPDF.

Definition at line 35 of file CPose3DPDFParticles.cpp.

References ASSERT_, CLASS_ID, mrpt::poses::CPose3DPDF::GetRuntimeClass(), MRPT_END, MRPT_START, and THROW_EXCEPTION.

Referenced by mrpt::hmtslam::CLocalMetricHypothesis::updateAreaFromLMH().

Here is the call graph for this function:
Here is the caller graph for this function:

◆ Create()

template<typename... Args>
static Ptr mrpt::poses::CPose3DPDFParticles::Create ( Args &&...  args)
inlinestatic

Definition at line 39 of file CPose3DPDFParticles.h.

◆ CreateAlloc()

template<typename Alloc , typename... Args>
static Ptr mrpt::poses::CPose3DPDFParticles::CreateAlloc ( const Alloc &  alloc,
Args &&...  args 
)
inlinestatic

Definition at line 39 of file CPose3DPDFParticles.h.

◆ createFrom2D()

CPose3DPDF * CPose3DPDF::createFrom2D ( const CPosePDF o)
staticinherited

This is a static transformation method from 2D poses to 3D PDFs, preserving the representation type (particles->particles, Gaussians->Gaussians,etc)

Warning
It returns a new object of any of the derived classes of CPose3DPDF. This object must be deleted by the user when not required anymore.
See also
copyFrom

Definition at line 49 of file CPose3DPDF.cpp.

References ASSERT_, CLASS_ID, cov2to3(), mrpt::poses::CPosePDF::GetRuntimeClass(), MRPT_END, MRPT_START, and THROW_EXCEPTION.

Referenced by mrpt::graphslam::deciders::CLoopCloserERD< GRAPH_T >::updateMapPartitions().

Here is the call graph for this function:
Here is the caller graph for this function:

◆ CreateObject()

static std::shared_ptr<CObject> mrpt::poses::CPose3DPDFParticles::CreateObject ( )
static

◆ CreateUnique()

template<typename... Args>
static UniquePtr mrpt::poses::CPose3DPDFParticles::CreateUnique ( Args &&...  args)
inlinestatic

Definition at line 39 of file CPose3DPDFParticles.h.

◆ defaultEvaluator()

static double mrpt::bayes::CParticleFilterCapable::defaultEvaluator ( [[maybe_unused] ] const bayes::CParticleFilter::TParticleFilterOptions PF_options,
[[maybe_unused] ] const CParticleFilterCapable obj,
size_t  index,
[[maybe_unused] ] const void *  action,
[[maybe_unused] ] 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 68 of file CParticleFilterCapable.h.

◆ derived() [1/2]

CRTP helper method.

Definition at line 35 of file CParticleFilterData.h.

◆ derived() [2/2]

CRTP helper method.

Definition at line 40 of file CParticleFilterData.h.

◆ drawManySamples()

void CPose3DPDFParticles::drawManySamples ( size_t  N,
std::vector< mrpt::math::CVectorDouble > &  outSamples 
) const
overridevirtual

Draws a number of samples from the distribution, and saves as a list of 1x6 vectors, where each row contains a (x,y,phi) datum.

Reimplemented from mrpt::math::CProbabilityDensityFunction< CPose3D, 6 >.

Definition at line 259 of file CPose3DPDFParticles.cpp.

References THROW_EXCEPTION.

◆ drawSingleSample() [1/2]

void CPose3DPDFParticles::drawSingleSample ( CPose3D outPart) const
override

Draws a single sample from the distribution (WARNING: weights are assumed to be normalized!)

Definition at line 253 of file CPose3DPDFParticles.cpp.

References THROW_EXCEPTION.

Referenced by mrpt::poses::CPoseRandomSampler::do_sample_3D().

Here is the caller graph for this function:

◆ drawSingleSample() [2/2]

virtual void mrpt::math::CProbabilityDensityFunction< CPose3D , STATE_LEN >::drawSingleSample ( CPose3D &  outPart) const
pure virtualinherited

Draws a single sample from the distribution.

◆ duplicateGetSmartPtr()

mrpt::rtti::CObject::Ptr CObject::duplicateGetSmartPtr ( ) const
inlineinherited

Makes a deep copy of the object and returns a smart pointer to it.

Definition at line 204 of file CObject.h.

References mrpt::rtti::CObject::clone().

Referenced by mrpt::obs::CRawlog::insert().

Here is the call graph for this function:
Here is the caller graph for this function:

◆ ESS()

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 85 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 478 of file CParticleFilterCapable.cpp.

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

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

Here is the call graph for this function:
Here is the caller graph for this function:

◆ getAs3DObject() [1/2]

template<class OPENGL_SETOFOBJECTSPTR >
void mrpt::poses::CPose3DPDF::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::CSetOfObjects::Ptr as template argument.
By default, ellipsoids for the confidence intervals of "q=3" are drawn; for more mathematical details, see CGeneralizedEllipsoidTemplate::setQuantiles()
See also
mrpt::opengl::CSetOfObjects::posePDF2opengl() for details on pose-to-opengl conversion

Definition at line 122 of file CPose3DPDF.h.

References mrpt::opengl::posePDF2opengl().

Here is the call graph for this function:

◆ getAs3DObject() [2/2]

template<class OPENGL_SETOFOBJECTSPTR >
OPENGL_SETOFOBJECTSPTR mrpt::poses::CPose3DPDF::getAs3DObject ( ) const
inlineinherited

Returns a 3D representation of this PDF.

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

Definition at line 133 of file CPose3DPDF.h.

References mrpt::opengl::posePDF2opengl().

Here is the call graph for this function:

◆ getClassName()

static constexpr auto mrpt::poses::CPose3DPDFParticles::getClassName ( )
inlinestatic

Definition at line 39 of file CPose3DPDFParticles.h.

◆ getCovariance() [1/3]

void mrpt::math::CProbabilityDensityFunction< CPose3D , 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 88 of file CProbabilityDensityFunction.h.

◆ getCovariance() [2/3]

void mrpt::math::CProbabilityDensityFunction< CPose3D , STATE_LEN >::getCovariance ( cov_mat_t 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 98 of file CProbabilityDensityFunction.h.

◆ getCovariance() [3/3]

cov_mat_t mrpt::math::CProbabilityDensityFunction< CPose3D , 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 108 of file CProbabilityDensityFunction.h.

◆ getCovarianceAndMean() [1/2]

virtual void mrpt::math::CProbabilityDensityFunction< CPose3D , STATE_LEN >::getCovarianceAndMean ( cov_mat_t c,
CPose3D &  mean 
) const
inlinefinalvirtualinherited

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Definition at line 54 of file CProbabilityDensityFunction.h.

◆ getCovarianceAndMean() [2/2]

std::tuple< CMatrixDouble66, CPose3D > CPose3DPDFParticles::getCovarianceAndMean ( ) const
overridevirtual

Returns an estimate of the pose covariance matrix (6x6 cov matrix) and the mean, both at once.

See also
getMean

Implements mrpt::math::CProbabilityDensityFunction< CPose3D, 6 >.

Definition at line 70 of file CPose3DPDFParticles.cpp.

References ASSERT_, mrpt::math::cov(), M_2PI, mrpt::math::mean(), MRPT_END, MRPT_START, mrpt::math::MatrixVectorBase< Scalar, Derived >::setZero(), mrpt::math::MatrixVectorBase< T, CMatrixFixed< T, ROWS, COLS > >::setZero(), mrpt::square(), and mrpt::math::wrapToPi().

Referenced by mrpt::poses::CPose3DPDFGrid::getCovarianceAndMean(), mrpt::slam::CMetricMapBuilderRBPF::processActionObservation(), and mrpt::apps::RBPF_SLAM_App_Base::run().

Here is the call graph for this function:
Here is the caller graph for this function:

◆ getCovarianceDynAndMean()

void mrpt::math::CProbabilityDensityFunction< CPose3D , STATE_LEN >::getCovarianceDynAndMean ( mrpt::math::CMatrixDouble cov,
type_value 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 65 of file CProbabilityDensityFunction.h.

◆ getCovarianceEntropy()

double mrpt::math::CProbabilityDensityFunction< CPose3D , 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 167 of file CProbabilityDensityFunction.h.

◆ getInformationMatrix()

virtual void mrpt::math::CProbabilityDensityFunction< CPose3D , STATE_LEN >::getInformationMatrix ( inf_mat_t 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 130 of file CProbabilityDensityFunction.h.

◆ getMean() [1/2]

virtual void mrpt::math::CProbabilityDensityFunction< CPose3D , STATE_LEN >::getMean ( type_value 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 CPose3DPDFParticles::getMean ( CPose3D mean_pose) const
override

Returns an estimate of the pose, (the mean, or mathematical expectation of the PDF), computed as a weighted average over all m_particles.

See also
getCovariance

Definition at line 52 of file CPose3DPDFParticles.cpp.

References mrpt::poses::SE_average< 3 >::append(), mrpt::poses::SE_average< 3 >::get_average(), MRPT_END, and MRPT_START.

Referenced by mrpt::hmtslam::CHierarchicalMapMHPartition::dumpAsText(), mrpt::poses::CPoseInterpolatorBase< 3 >::filter(), mrpt::hmtslam::CHMTSLAM::perform_TLC(), mrpt::slam::CMetricMapBuilderRBPF::processActionObservation(), and mrpt::apps::RBPF_SLAM_App_Base::run().

Here is the call graph for this function:
Here is the caller graph for this function:

◆ getMeanVal()

type_value mrpt::math::CProbabilityDensityFunction< CPose3D , STATE_LEN >::getMeanVal ( ) const
inlineinherited

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

See also
getCovariance, getInformationMatrix

Definition at line 77 of file CProbabilityDensityFunction.h.

◆ getMostLikelyParticle()

TPose3D CPose3DPDFParticles::getMostLikelyParticle ( ) const

Returns the particle with the highest weight.

Definition at line 289 of file CPose3DPDFParticles.cpp.

◆ getParticlePose()

mrpt::math::TPose3D CPose3DPDFParticles::getParticlePose ( int  i) const

Returns the pose of the i'th particle.

Definition at line 241 of file CPose3DPDFParticles.cpp.

◆ GetRuntimeClass()

virtual const mrpt::rtti::TRuntimeClassId* mrpt::poses::CPose3DPDFParticles::GetRuntimeClass ( ) const
overridevirtual

Returns information about the class of an object in runtime.

Reimplemented from mrpt::poses::CPose3DPDF.

◆ GetRuntimeClassIdStatic()

static const mrpt::rtti::TRuntimeClassId& mrpt::poses::CPose3DPDFParticles::GetRuntimeClassIdStatic ( )
static

◆ getW()

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

Implements mrpt::bayes::CParticleFilterCapable.

Definition at line 41 of file CParticleFilterData.h.

◆ getWeights()

void mrpt::bayes::CParticleFilterData< mrpt::math::TPose3D , STORAGE >::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 257 of file CParticleFilterData.h.

◆ inverse()

void CPose3DPDFParticles::inverse ( CPose3DPDF o) const
overridevirtual

Returns a new PDF such as: NEW_PDF = (0,0,0) - THIS_PDF.

Implements mrpt::poses::CPose3DPDF.

Definition at line 276 of file CPose3DPDFParticles.cpp.

References ASSERT_, CLASS_ID, mrpt::poses::CPose3DPDF::GetRuntimeClass(), MRPT_END, MRPT_START, and out.

Referenced by mrpt::hmtslam::CLocalMetricHypothesis::updateAreaFromLMH().

Here is the call graph for this function:
Here is the caller graph for this function:

◆ is_3D()

static constexpr bool mrpt::poses::CPose3DPDF::is_3D ( )
inlinestaticinherited

Definition at line 105 of file CPose3DPDF.h.

References mrpt::poses::CPose3DPDF::is_3D_val.

◆ is_PDF()

static constexpr bool mrpt::poses::CPose3DPDF::is_PDF ( )
inlinestaticinherited

Definition at line 110 of file CPose3DPDF.h.

References mrpt::poses::CPose3DPDF::is_PDF_val.

◆ isInfType()

virtual bool mrpt::math::CProbabilityDensityFunction< CPose3D , 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

Reimplemented in mrpt::poses::CPose3DPDFGaussianInf.

Definition at line 123 of file CProbabilityDensityFunction.h.

◆ jacobiansPoseComposition()

void CPose3DPDF::jacobiansPoseComposition ( const CPose3D x,
const CPose3D u,
mrpt::math::CMatrixDouble66 df_dx,
mrpt::math::CMatrixDouble66 df_du 
)
staticinherited

This static method computes the pose composition Jacobians.

See this techical report: http:///www.mrpt.org/6D_poses:equivalences_compositions_and_uncertainty

Direct equations (for the covariances) in yaw-pitch-roll are too complex. Make a way around them and consider instead this path:

X(6D) U(6D)
| |
v v
X(7D) U(7D)
| |
+--- (+) ---+
|
v
RES(7D)
|
v
RES(6D)

Definition at line 129 of file CPose3DPDF.cpp.

References mrpt::math::CMatrixFixed< T, ROWS, COLS >::asEigen(), mrpt::math::CQuaternion< T >::crossProduct(), mrpt::poses::CPose3D::getAsQuaternion(), mrpt::math::MatrixBase< T, CMatrixFixed< T, ROWS, COLS > >::insertMatrix(), mrpt::poses::CPose3DQuatPDF::jacobiansPoseComposition(), mrpt::math::CQuaternion< T >::normalizationJacobian(), mrpt::obs::gnss::pitch, mrpt::poses::CPose3DQuat::quat(), mrpt::obs::gnss::roll, mrpt::math::CQuaternion< T >::rpy_and_jacobian(), mrpt::math::UNINITIALIZED_MATRIX, and mrpt::math::UNINITIALIZED_QUATERNION.

Referenced by mrpt::poses::CPose3DPDFGaussian::changeCoordinatesReference(), mrpt::poses::CPose3DPDFGaussianInf::operator+=(), mrpt::poses::CPose3DPDFGaussian::operator+=(), and Pose3DPDFGaussTests::testCompositionJacobian().

Here is the call graph for this function:
Here is the caller graph for this function:

◆ 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 544 of file CParticleFilterCapable.cpp.

References ASSERT_, MRPT_END, and MRPT_START.

◆ normalizeWeights()

double mrpt::bayes::CParticleFilterDataImpl< CPose3DPDFParticles , mrpt::bayes::CParticleFilterData< mrpt::math::TPose3D, mrpt::bayes::particle_storage_mode::VALUE >::CParticleList >::normalizeWeights ( double *  out_max_log_w = nullptr)
inlineoverridevirtualinherited

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 60 of file CParticleFilterData.h.

◆ operator+=()

void CPose3DPDFParticles::operator+= ( const CPose3D Ap)

Appends (pose-composition) a given pose "p" to each particle.

Definition at line 266 of file CPose3DPDFParticles.cpp.

References THROW_EXCEPTION.

◆ particlesCount()

Get the m_particles count.

Implements mrpt::bayes::CParticleFilterCapable.

Definition at line 55 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_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().

Here is the caller graph for this function:

◆ performSubstitution()

void mrpt::bayes::CParticleFilterDataImpl< CPose3DPDFParticles , mrpt::bayes::CParticleFilterData< mrpt::math::TPose3D, mrpt::bayes::particle_storage_mode::VALUE >::CParticleList >::performSubstitution ( const std::vector< size_t > &  indx)
inlineoverridevirtualinherited

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 110 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 273 of file CParticleFilterCapable.cpp.

References mrpt::bayes::CParticleFilter::TParticleFilterOptions::PF_algorithm, mrpt::bayes::CParticleFilter::pfAuxiliaryPFOptimal, mrpt::bayes::CParticleFilter::pfAuxiliaryPFStandard, mrpt::bayes::CParticleFilter::pfOptimalProposal, mrpt::bayes::CParticleFilter::pfStandardProposal, and THROW_EXCEPTION.

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

Here is the caller graph for this function:

◆ 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::slam::CMonteCarloLocalization3D, and mrpt::maps::CMultiMetricMapPDF.

Definition at line 345 of file CParticleFilterCapable.cpp.

References 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 320 of file CParticleFilterCapable.cpp.

References 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 333 of file CParticleFilterCapable.cpp.

References 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 CRangeBearingParticleFilter, mrpt::slam::CMonteCarloLocalization2D, mrpt::maps::CMultiMetricMapPDF, and mrpt::slam::CMonteCarloLocalization3D.

Definition at line 307 of file CParticleFilterCapable.cpp.

References THROW_EXCEPTION.

◆ prepareFastDrawSample()

void CParticleFilterCapable::prepareFastDrawSample ( const bayes::CParticleFilter::TParticleFilterOptions PF_options,
TParticleProbabilityEvaluator  partEvaluator = defaultEvaluator,
const void *  action = nullptr,
const void *  observation = nullptr 
) 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 359 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::prMultinomial, mrpt::bayes::CParticleFilter::TParticleFilterOptions::resamplingMethod, and THROW_EXCEPTION.

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

Here is the call graph for this function:
Here is the caller graph for this function:

◆ readParticlesFromStream()

void mrpt::bayes::CParticleFilterData< mrpt::math::TPose3D , STORAGE >::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 230 of file CParticleFilterData.h.

◆ resetDeterministic()

void CPose3DPDFParticles::resetDeterministic ( const mrpt::math::TPose3D location,
size_t  particlesCount = 0 
)

Reset the PDF to a single point: All m_particles will be set exactly to the supplied pose.

Parameters
locationThe location to set all the m_particles.
particlesCountIf this is set to 0 the number of m_particles remains unchanged.
See also
resetUniform

Definition at line 311 of file CPose3DPDFParticles.cpp.

Referenced by mrpt::hmtslam::CHierarchicalMapMHPartition::computeCoordinatesTransformationBetweenNodes(), mrpt::obs::CActionRobotMovement3D::computeFromOdometry_model6DOF(), mrpt::poses::CPose3DPDFGrid::getCovarianceAndMean(), mrpt::hmtslam::CLocalMetricHypothesis::getPoseParticles(), and mrpt::hmtslam::CLocalMetricHypothesis::getRelativePose().

Here is the caller graph for this function:

◆ resetUniform()

void CPose3DPDFParticles::resetUniform ( const mrpt::math::TPose3D corner_min,
const mrpt::math::TPose3D corner_max,
const int  particlesCount = -1 
)

Reset the PDF to an uniformly distributed one, inside of the defined "cube".

Parameters
particlesCountNew particle count, or leave count unchanged if set to -1 (default).
Note
Orientations can be outside of the [-pi,pi] range if so desired, but it must hold phi_max>=phi_min.
See also
resetDeterministic resetAroundSetOfPoses

Definition at line 323 of file CPose3DPDFParticles.cpp.

References mrpt::random::getRandomGenerator(), MRPT_END, MRPT_START, mrpt::math::TPose3D::pitch, mrpt::math::TPose3D::roll, mrpt::math::TPose3D::x, mrpt::math::TPose3D::y, mrpt::math::TPose3D::yaw, and mrpt::math::TPose3D::z.

Referenced by pf2gauss_t< CMonteCarloLocalization3D >::resetUniform().

Here is the call graph for this function:
Here is the caller graph for this function:

◆ saveToTextFile()

bool CPose3DPDFParticles::saveToTextFile ( const std::string &  file) const
overridevirtual

Save PDF's m_particles to a text file.

In each line it will go: "x y z"

Implements mrpt::math::CProbabilityDensityFunction< CPose3D, 6 >.

Definition at line 223 of file CPose3DPDFParticles.cpp.

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

Referenced by mrpt::apps::RBPF_SLAM_App_Base::run().

Here is the call graph for this function:
Here is the caller graph for this function:

◆ serializeFrom() [1/2]

void CPose3DPDFParticles::serializeFrom ( mrpt::serialization::CArchive in,
uint8_t  serial_version 
)
overrideprotectedvirtual

Pure virtual method for reading (deserializing) from an abstract archive.

Users don't call this method directly. Instead, use stream >> object;.

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 I/O error

Implements mrpt::serialization::CSerializable.

Definition at line 188 of file CPose3DPDFParticles.cpp.

References MRPT_THROW_UNKNOWN_SERIALIZATION_VERSION.

◆ serializeFrom() [2/2]

virtual void mrpt::serialization::CSerializable::serializeFrom ( CSchemeArchiveBase in)
inlineprotectedvirtualinherited

Virtual method for reading (deserializing) from an abstract schema based archive.

Definition at line 74 of file CSerializable.h.

References mrpt::serialization::CSerializable::GetRuntimeClass(), and THROW_EXCEPTION.

Here is the call graph for this function:

◆ serializeGetVersion()

uint8_t CPose3DPDFParticles::serializeGetVersion ( ) const
overrideprotectedvirtual

Must return the current versioning number of the object.

Start in zero for new classes, and increments each time there is a change in the stored format.

Implements mrpt::serialization::CSerializable.

Definition at line 183 of file CPose3DPDFParticles.cpp.

◆ serializeTo() [1/2]

void CPose3DPDFParticles::serializeTo ( mrpt::serialization::CArchive out) const
overrideprotectedvirtual

Pure virtual method for writing (serializing) to an abstract archive.

Users don't call this method directly. Instead, use stream << object;.

Exceptions
std::exceptionOn any I/O error

Implements mrpt::serialization::CSerializable.

Definition at line 184 of file CPose3DPDFParticles.cpp.

References out.

◆ serializeTo() [2/2]

virtual void mrpt::serialization::CSerializable::serializeTo ( CSchemeArchiveBase out) const
inlineprotectedvirtualinherited

Virtual method for writing (serializing) to an abstract schema based archive.

Definition at line 64 of file CSerializable.h.

References mrpt::serialization::CSerializable::GetRuntimeClass(), and THROW_EXCEPTION.

Here is the call graph for this function:

◆ setW()

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

Implements mrpt::bayes::CParticleFilterCapable.

Definition at line 48 of file CParticleFilterData.h.

◆ size()

size_t mrpt::poses::CPose3DPDFParticles::size ( ) const
inline

Get the m_particles count (equivalent to "particlesCount")

Definition at line 92 of file CPose3DPDFParticles.h.

References mrpt::bayes::CParticleFilterData< mrpt::math::TPose3D, mrpt::bayes::particle_storage_mode::VALUE >::m_particles.

Referenced by mrpt::hmtslam::CHMTSLAM::perform_TLC(), mrpt::apps::RBPF_SLAM_App_Base::run(), and mrpt::hmtslam::CLocalMetricHypothesis::updateAreaFromLMH().

Here is the caller graph for this function:

◆ writeParticlesToStream()

void mrpt::bayes::CParticleFilterData< mrpt::math::TPose3D , STORAGE >::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 208 of file CParticleFilterData.h.

◆ writeToMatlab()

virtual mxArray* mrpt::serialization::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 nullptr is class does not support conversion to MATLAB.

Definition at line 90 of file CSerializable.h.

Member Data Documentation

◆ className

constexpr const char* mrpt::poses::CPose3DPDFParticles::className = "mrpt::poses" "::" "CPose3DPDFParticles"
static

Definition at line 39 of file CPose3DPDFParticles.h.

◆ m_fastDrawAuxiliary

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

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

Definition at line 282 of file CParticleFilterCapable.h.

◆ m_particles

◆ PARTICLE_STORAGE

const particle_storage_mode mrpt::bayes::CParticleFilterData< mrpt::math::TPose3D , STORAGE >::PARTICLE_STORAGE
staticinherited

Definition at line 193 of file CParticleFilterData.h.

◆ runtimeClassId

const mrpt::rtti::TRuntimeClassId mrpt::poses::CPose3DPDFParticles::runtimeClassId
staticprotected

Definition at line 39 of file CPose3DPDFParticles.h.

◆ state_length

constexpr size_t mrpt::math::CProbabilityDensityFunction< CPose3D , 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 32 of file CProbabilityDensityFunction.h.




Page generated by Doxygen 1.8.14 for MRPT 2.0.4 Git: 33de1d0ad Sat Jun 20 11:02:42 2020 +0200 at sáb jun 20 17:35:17 CEST 2020