Declares a class that represents a Probability Density function (PDF) of a 3D pose as a Gaussian described by its mean and its inverse covariance matrix.
This class implements that PDF using a mono-modal Gaussian distribution in "information" form (inverse covariance matrix).
Uncertainty of pose composition operations ( ) is implemented in the method "CPose3DPDFGaussianInf::operator+=".
For further details on implemented methods and the theory behind them, see this report.
Definition at line 42 of file CPose3DPDFGaussianInf.h.
#include <mrpt/poses/CPose3DPDFGaussianInf.h>
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... | |
Public Member Functions | |
void * | operator new (size_t size) |
void * | operator new[] (size_t size) |
void | operator delete (void *ptr) noexcept |
void | operator delete[] (void *ptr) noexcept |
void | operator delete (void *memory, void *ptr) noexcept |
void * | operator new (size_t size, const std::nothrow_t &) noexcept |
void | operator delete (void *ptr, const std::nothrow_t &) noexcept |
const CPose3D & | getPoseMean () const |
CPose3D & | getPoseMean () |
CPose3DPDFGaussianInf () | |
Default constructor - mean: all zeros, inverse covariance=all zeros -> so be careful! More... | |
CPose3DPDFGaussianInf (const CPose3D &init_Mean) | |
Constructor with a mean value, inverse covariance=all zeros -> so be careful! More... | |
CPose3DPDFGaussianInf (TConstructorFlags_Poses constructor_dummy_param) | |
Uninitialized constructor: leave all fields uninitialized - Call with UNINITIALIZED_POSE as argument. More... | |
CPose3DPDFGaussianInf (const CPose3D &init_Mean, const mrpt::math::CMatrixDouble66 &init_CovInv) | |
Constructor with mean and inv cov. More... | |
CPose3DPDFGaussianInf (const CPose3DQuatPDFGaussian &o) | |
Constructor from a 6D pose PDF described as a Quaternion. More... | |
void | getMean (CPose3D &mean_pose) const override |
Returns an estimate of the pose, (the mean, or mathematical expectation of the PDF). More... | |
bool | isInfType () const override |
void | getCovarianceAndMean (mrpt::math::CMatrixDouble66 &cov, CPose3D &mean_point) const override |
Returns an estimate of the pose covariance matrix (6x6 cov matrix) and the mean, both at once. More... | |
virtual void | getInformationMatrix (mrpt::math::CMatrixDouble66 &inf) const override |
Returns the information (inverse covariance) matrix (a STATE_LEN x STATE_LEN matrix) More... | |
void | copyFrom (const CPose3DPDF &o) override |
Copy operator, translating if necesary (for example, between particles and gaussian representations) More... | |
void | copyFrom (const CPosePDF &o) |
Copy operator, translating if necesary (for example, between particles and gaussian representations) More... | |
void | copyFrom (const CPose3DQuatPDFGaussian &o) |
Copy from a 6D pose PDF described as a Quaternion. More... | |
bool | saveToTextFile (const std::string &file) const override |
Save the PDF to a text file, containing the 3D pose in the first line, then the covariance matrix in next 3 lines. More... | |
void | changeCoordinatesReference (const CPose3D &newReferenceBase) override |
this = p (+) this. More... | |
void | drawSingleSample (CPose3D &outPart) const override |
Draws a single sample from the distribution. 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 | bayesianFusion (const CPose3DPDF &p1, const CPose3DPDF &p2) override |
Bayesian fusion of two points gauss. More... | |
void | inverse (CPose3DPDF &o) const override |
Returns a new PDF such as: NEW_PDF = (0,0,0) - THIS_PDF. More... | |
CPose3DPDFGaussianInf | operator- () const |
Unary - operator, returns the PDF of the inverse pose. More... | |
void | operator+= (const CPose3D &Ap) |
Makes: thisPDF = thisPDF + Ap, where "+" is pose composition (both the mean, and the covariance matrix are updated) More... | |
void | operator+= (const CPose3DPDFGaussianInf &Ap) |
Makes: thisPDF = thisPDF + Ap, where "+" is pose composition (both the mean, and the covariance matrix are updated) More... | |
void | operator-= (const CPose3DPDFGaussianInf &Ap) |
Makes: thisPDF = thisPDF - Ap, where "-" is pose inverse composition (both the mean, and the covariance matrix are updated) More... | |
double | evaluatePDF (const CPose3D &x) const |
Evaluates the PDF at a given point. More... | |
double | evaluateNormalizedPDF (const CPose3D &x) const |
Evaluates the ratio PDF(x) / PDF(MEAN), that is, the normalized PDF in the range [0,1]. More... | |
void | getInvCovSubmatrix2D (mrpt::math::CMatrixDouble &out_cov) const |
Returns a 3x3 matrix with submatrix of the inverse covariance for the variables (x,y,yaw) only. More... | |
double | mahalanobisDistanceTo (const CPose3DPDFGaussianInf &theOther) |
Computes the Mahalanobis distance between the centers of two Gaussians. 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 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... | |
virtual void | getMean (CPose3D &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, CPose3D &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, CPose3D &mean_point) const |
Returns an estimate of the pose covariance matrix (STATE_LENxSTATE_LEN cov matrix) and the mean, both at once. More... | |
CPose3D | 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 (CPose3D &outPart) const=0 |
Draws a single sample from the distribution. More... | |
double | getCovarianceEntropy () const |
Compute the entropy of the estimated covariance matrix. More... | |
Static Public Member Functions | |
static void * | operator new (size_t size, void *ptr) |
static CPose3DPDF * | createFrom2D (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 bool | is_3D () |
static bool | is_PDF () |
Public Attributes | |
Data fields | |
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CPose3D | mean |
The mean value. More... | |
mrpt::math::CMatrixDouble66 | cov_inv |
The inverse of the 6x6 covariance matrix. More... | |
Static Public Attributes | |
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... | |
Protected Types | |
using | self_t = CPose3DPDFGaussianInf |
Protected Member Functions | |
void | assureSymmetry () |
Assures the symmetry of the covariance matrix (eventually certain operations in the math-coprocessor lead to non-symmetric matrixes!) 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... | |
RTTI stuff | |
using | Ptr = std::shared_ptr< CPose3DPDFGaussianInf > |
using | ConstPtr = std::shared_ptr< const CPose3DPDFGaussianInf > |
using | UniquePtr = std::unique_ptr< CPose3DPDFGaussianInf > |
using | ConstUniquePtr = std::unique_ptr< const CPose3DPDFGaussianInf > |
static mrpt::rtti::CLASSINIT | _init_CPose3DPDFGaussianInf |
static const mrpt::rtti::TRuntimeClassId | runtimeClassId |
static constexpr const char * | className = "CPose3DPDFGaussianInf" |
static const mrpt::rtti::TRuntimeClassId * | _GetBaseClass () |
static constexpr auto | getClassName () |
static const mrpt::rtti::TRuntimeClassId & | GetRuntimeClassIdStatic () |
static mrpt::rtti::CObject * | CreateObject () |
template<typename... Args> | |
static Ptr | Create (Args &&... args) |
template<typename... Args> | |
static UniquePtr | CreateUnique (Args &&... args) |
virtual const mrpt::rtti::TRuntimeClassId * | GetRuntimeClass () const override |
Returns information about the class of an object in runtime. More... | |
virtual mrpt::rtti::CObject * | clone () const override |
Returns a deep copy (clone) of the object, indepently of its class. More... | |
using mrpt::poses::CPose3DPDFGaussianInf::ConstPtr = std::shared_ptr<const CPose3DPDFGaussianInf > |
Definition at line 45 of file CPose3DPDFGaussianInf.h.
using mrpt::poses::CPose3DPDFGaussianInf::ConstUniquePtr = std::unique_ptr<const CPose3DPDFGaussianInf > |
Definition at line 45 of file CPose3DPDFGaussianInf.h.
using mrpt::poses::CPose3DPDFGaussianInf::Ptr = std::shared_ptr< CPose3DPDFGaussianInf > |
A type for the associated smart pointer
Definition at line 45 of file CPose3DPDFGaussianInf.h.
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protected |
Definition at line 46 of file CPose3DPDFGaussianInf.h.
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inherited |
The type of the state the PDF represents.
Definition at line 35 of file CProbabilityDensityFunction.h.
using mrpt::poses::CPose3DPDFGaussianInf::UniquePtr = std::unique_ptr< CPose3DPDFGaussianInf > |
Definition at line 45 of file CPose3DPDFGaussianInf.h.
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inherited |
Enumerator | |
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is_3D_val |
Definition at line 104 of file CPose3DPDF.h.
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inherited |
Enumerator | |
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is_PDF_val |
Definition at line 109 of file CPose3DPDF.h.
CPose3DPDFGaussianInf::CPose3DPDFGaussianInf | ( | ) |
Default constructor - mean: all zeros, inverse covariance=all zeros -> so be careful!
Definition at line 36 of file CPose3DPDFGaussianInf.cpp.
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explicit |
Constructor with a mean value, inverse covariance=all zeros -> so be careful!
Definition at line 59 of file CPose3DPDFGaussianInf.cpp.
CPose3DPDFGaussianInf::CPose3DPDFGaussianInf | ( | TConstructorFlags_Poses | constructor_dummy_param | ) |
Uninitialized constructor: leave all fields uninitialized - Call with UNINITIALIZED_POSE as argument.
Definition at line 40 of file CPose3DPDFGaussianInf.cpp.
References MRPT_UNUSED_PARAM.
CPose3DPDFGaussianInf::CPose3DPDFGaussianInf | ( | const CPose3D & | init_Mean, |
const mrpt::math::CMatrixDouble66 & | init_CovInv | ||
) |
Constructor with mean and inv cov.
Definition at line 50 of file CPose3DPDFGaussianInf.cpp.
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explicit |
Constructor from a 6D pose PDF described as a Quaternion.
Definition at line 67 of file CPose3DPDFGaussianInf.cpp.
References copyFrom().
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staticprotected |
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protected |
Assures the symmetry of the covariance matrix (eventually certain operations in the math-coprocessor lead to non-symmetric matrixes!)
Definition at line 341 of file CPose3DPDFGaussianInf.cpp.
References cov_inv.
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overridevirtual |
Bayesian fusion of two points gauss.
distributions, then save the result in this object. The process is as follows:
S = (S1-1 + S2-1)-1; x = S * ( S1-1*x1 + S2-1*x2 );
Implements mrpt::poses::CPose3DPDF.
Definition at line 242 of file CPose3DPDFGaussianInf.cpp.
References MRPT_UNUSED_PARAM, and THROW_EXCEPTION.
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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 176 of file CPose3DPDFGaussianInf.cpp.
References copyFrom(), MRPT_END, and MRPT_START.
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overridevirtual |
Returns a deep copy (clone) of the object, indepently of its class.
Implements mrpt::rtti::CObject.
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overridevirtual |
Copy operator, translating if necesary (for example, between particles and gaussian representations)
Implements mrpt::poses::CPose3DPDF.
Definition at line 105 of file CPose3DPDFGaussianInf.cpp.
References mrpt::math::cov(), cov_inv, mrpt::math::CProbabilityDensityFunction< TDATA, STATE_LEN >::getCovarianceAndMean(), IS_CLASS, mean, and mrpt::math::UNINITIALIZED_MATRIX.
Referenced by changeCoordinatesReference(), mrpt::hmtslam::CHierarchicalMapMHPartition::computeGloballyConsistentNodeCoordinates(), copyFrom(), and CPose3DPDFGaussianInf().
void CPose3DPDFGaussianInf::copyFrom | ( | const CPose3DQuatPDFGaussian & | o | ) |
Copy from a 6D pose PDF described as a Quaternion.
Definition at line 76 of file CPose3DPDFGaussianInf.cpp.
References copyFrom().
Copy operator, translating if necesary (for example, between particles and gaussian representations)
Definition at line 125 of file CPose3DPDFGaussianInf.cpp.
References copyFrom(), mrpt::poses::CPosePDFGaussianInf::cov_inv, cov_inv, IS_CLASS, mrpt::poses::CPosePDFGaussianInf::mean, mean, and mrpt::poses::UNINITIALIZED_POSE.
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inlinestatic |
Definition at line 45 of file CPose3DPDFGaussianInf.h.
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staticinherited |
This is a static transformation method from 2D poses to 3D PDFs, preserving the representation type (particles->particles, Gaussians->Gaussians,etc)
Definition at line 34 of file CPose3DPDF.cpp.
References mrpt::poses::CPose3DPDFSOG::begin(), CLASS_ID, mrpt::poses::CPose3DPDFGaussian::cov, cov_inv, mrpt::bayes::CParticleFilterData< T, STORAGE >::m_particles, mean, mrpt::poses::CPose3DPDFGaussian::mean, MRPT_END, MRPT_START, and THROW_EXCEPTION.
Referenced by mrpt::graphslam::deciders::CLoopCloserERD< GRAPH_T >::updateMapPartitions().
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static |
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inlinestatic |
Definition at line 45 of file CPose3DPDFGaussianInf.h.
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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 215 of file CPose3DPDFGaussianInf.cpp.
References mrpt::math::cov(), cov_inv, mrpt::random::CRandomGenerator::drawGaussianMultivariateMany(), mrpt::random::getRandomGenerator(), mean, MRPT_END, MRPT_START, mrpt::poses::CPose3D::pitch(), mrpt::poses::CPose3D::roll(), mrpt::math::UNINITIALIZED_MATRIX, mrpt::math::wrapToPi(), mrpt::poses::CPoseOrPoint< DERIVEDCLASS >::x(), mrpt::poses::CPoseOrPoint< DERIVEDCLASS >::y(), and mrpt::poses::CPose3D::yaw().
Draws a single sample from the distribution.
Definition at line 192 of file CPose3DPDFGaussianInf.cpp.
References mrpt::math::cov(), cov_inv, mrpt::random::CRandomGenerator::drawGaussianMultivariate(), mrpt::random::getRandomGenerator(), mean, MRPT_END_WITH_CLEAN_UP, MRPT_START, MRPT_UNUSED_PARAM, mrpt::poses::CPose3D::pitch(), mrpt::poses::CPose3D::roll(), mrpt::poses::CPose3D::setFromValues(), mrpt::math::UNINITIALIZED_MATRIX, mrpt::poses::CPoseOrPoint< DERIVEDCLASS >::x(), mrpt::poses::CPoseOrPoint< DERIVEDCLASS >::y(), and mrpt::poses::CPose3D::yaw().
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pure virtualinherited |
Draws a single sample from the distribution.
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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 169 of file CObject.h.
References mrpt::rtti::CObject::clone().
Referenced by mrpt::obs::CRawlog::addActions(), and mrpt::obs::CRawlog::addObservations().
double CPose3DPDFGaussianInf::evaluateNormalizedPDF | ( | const CPose3D & | x | ) | const |
Evaluates the ratio PDF(x) / PDF(MEAN), that is, the normalized PDF in the range [0,1].
Definition at line 332 of file CPose3DPDFGaussianInf.cpp.
References MRPT_UNUSED_PARAM, and THROW_EXCEPTION.
double CPose3DPDFGaussianInf::evaluatePDF | ( | const CPose3D & | x | ) | const |
Evaluates the PDF at a given point.
Definition at line 323 of file CPose3DPDFGaussianInf.cpp.
References MRPT_UNUSED_PARAM, and THROW_EXCEPTION.
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inlineinherited |
Returns a 3D representation of this PDF.
Definition at line 136 of file CPose3DPDF.h.
References mrpt::opengl::posePDF2opengl().
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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)
Definition at line 125 of file CPose3DPDF.h.
References mrpt::opengl::posePDF2opengl().
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inlinestaticconstexpr |
Definition at line 45 of file CPose3DPDFGaussianInf.h.
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inlineinherited |
Returns the estimate of the covariance matrix (STATE_LEN x STATE_LEN covariance matrix)
Definition at line 103 of file CProbabilityDensityFunction.h.
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inlineinherited |
Returns the estimate of the covariance matrix (STATE_LEN x STATE_LEN covariance matrix)
Definition at line 80 of file CProbabilityDensityFunction.h.
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inlineinherited |
Returns the estimate of the covariance matrix (STATE_LEN x STATE_LEN covariance matrix)
Definition at line 90 of file CProbabilityDensityFunction.h.
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inlineoverride |
Returns an estimate of the pose covariance matrix (6x6 cov matrix) and the mean, both at once.
Definition at line 95 of file CPose3DPDFGaussianInf.h.
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pure virtualinherited |
Returns an estimate of the pose covariance matrix (STATE_LENxSTATE_LEN cov matrix) and the mean, both at once.
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inlineinherited |
Returns an estimate of the pose covariance matrix (STATE_LENxSTATE_LEN cov matrix) and the mean, both at once.
Definition at line 56 of file CProbabilityDensityFunction.h.
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inlineinherited |
Compute the entropy of the estimated covariance matrix.
Definition at line 170 of file CProbabilityDensityFunction.h.
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inlineoverridevirtual |
Returns the information (inverse covariance) matrix (a STATE_LEN x STATE_LEN matrix)
Definition at line 104 of file CPose3DPDFGaussianInf.h.
References cov_inv.
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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.
Definition at line 126 of file CProbabilityDensityFunction.h.
void CPose3DPDFGaussianInf::getInvCovSubmatrix2D | ( | mrpt::math::CMatrixDouble & | out_cov | ) | const |
Returns a 3x3 matrix with submatrix of the inverse covariance for the variables (x,y,yaw) only.
Definition at line 396 of file CPose3DPDFGaussianInf.cpp.
References cov_inv.
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pure virtualinherited |
Returns the mean, or mathematical expectation of the probability density distribution (PDF).
Returns an estimate of the pose, (the mean, or mathematical expectation of the PDF).
Definition at line 90 of file CPose3DPDFGaussianInf.h.
References mean.
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inlineinherited |
Returns the mean, or mathematical expectation of the probability density distribution (PDF).
Definition at line 69 of file CProbabilityDensityFunction.h.
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inline |
Definition at line 66 of file CPose3DPDFGaussianInf.h.
References mean.
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inline |
Definition at line 65 of file CPose3DPDFGaussianInf.h.
References mean.
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overridevirtual |
Returns information about the class of an object in runtime.
Reimplemented from mrpt::poses::CPose3DPDF.
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static |
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overridevirtual |
Returns a new PDF such as: NEW_PDF = (0,0,0) - THIS_PDF.
Implements mrpt::poses::CPose3DPDF.
Definition at line 254 of file CPose3DPDFGaussianInf.cpp.
References ASSERT_, CLASS_ID, and mrpt::poses::CPose3DPDF::GetRuntimeClass().
Referenced by operator-().
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inlinestaticinherited |
Definition at line 108 of file CPose3DPDF.h.
References mrpt::poses::CPose3DPDF::is_3D_val.
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inlinestaticinherited |
Definition at line 113 of file CPose3DPDF.h.
References mrpt::poses::CPose3DPDF::is_PDF_val.
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inlinevirtualinherited |
Returns whether the class instance holds the uncertainty in covariance or information form.
Definition at line 119 of file CProbabilityDensityFunction.h.
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inlineoverride |
Definition at line 91 of file CPose3DPDFGaussianInf.h.
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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:
Definition at line 141 of file CPose3DPDF.cpp.
References mrpt::math::CQuaternion< T >::crossProduct(), mrpt::poses::CPose3D::getAsQuaternion(), 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(), operator+=(), mrpt::poses::CPose3DPDFGaussian::operator+=(), and Pose3DPDFGaussTests::testCompositionJacobian().
double CPose3DPDFGaussianInf::mahalanobisDistanceTo | ( | const CPose3DPDFGaussianInf & | theOther | ) |
Computes the Mahalanobis distance between the centers of two Gaussians.
The variables with a variance exactly equal to 0 are not taken into account in the process, but "infinity" is returned if the corresponding elements are not exactly equal.
Definition at line 353 of file CPose3DPDFGaussianInf.cpp.
References mrpt::math::cov(), cov_inv, mean, MRPT_END, and MRPT_START.
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inlinenoexcept |
Definition at line 45 of file CPose3DPDFGaussianInf.h.
Definition at line 45 of file CPose3DPDFGaussianInf.h.
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inlinenoexcept |
Definition at line 45 of file CPose3DPDFGaussianInf.h.
Definition at line 45 of file CPose3DPDFGaussianInf.h.
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inline |
Definition at line 45 of file CPose3DPDFGaussianInf.h.
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inlinenoexcept |
Definition at line 45 of file CPose3DPDFGaussianInf.h.
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inlinestatic |
Definition at line 45 of file CPose3DPDFGaussianInf.h.
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inline |
Definition at line 45 of file CPose3DPDFGaussianInf.h.
Makes: thisPDF = thisPDF + Ap, where "+" is pose composition (both the mean, and the covariance matrix are updated)
Definition at line 268 of file CPose3DPDFGaussianInf.cpp.
References cov_inv, mrpt::poses::CPose3DPDF::jacobiansPoseComposition(), mean, and mrpt::math::UNINITIALIZED_MATRIX.
void CPose3DPDFGaussianInf::operator+= | ( | const CPose3DPDFGaussianInf & | Ap | ) |
Makes: thisPDF = thisPDF + Ap, where "+" is pose composition (both the mean, and the covariance matrix are updated)
Definition at line 291 of file CPose3DPDFGaussianInf.cpp.
References cov_inv, mean, mrpt::poses::CPose3DPDFGaussian::mean, and mrpt::poses::UNINITIALIZED_POSE.
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inline |
Unary - operator, returns the PDF of the inverse pose.
Definition at line 157 of file CPose3DPDFGaussianInf.h.
References inverse(), and mrpt::poses::UNINITIALIZED_POSE.
void CPose3DPDFGaussianInf::operator-= | ( | const CPose3DPDFGaussianInf & | Ap | ) |
Makes: thisPDF = thisPDF - Ap, where "-" is pose inverse composition (both the mean, and the covariance matrix are updated)
Definition at line 307 of file CPose3DPDFGaussianInf.cpp.
References cov_inv, mean, mrpt::poses::CPose3DPDFGaussian::mean, and mrpt::poses::UNINITIALIZED_POSE.
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overridevirtual |
Save the PDF to a text file, containing the 3D pose in the first line, then the covariance matrix in next 3 lines.
Implements mrpt::math::CProbabilityDensityFunction< CPose3D, 6 >.
Definition at line 155 of file CPose3DPDFGaussianInf.cpp.
References cov_inv, mrpt::system::os::fclose(), mrpt::system::os::fopen(), mrpt::system::os::fprintf(), mean, mrpt::poses::CPose3D::pitch(), mrpt::poses::CPose3D::roll(), mrpt::poses::CPoseOrPoint< DERIVEDCLASS >::x(), mrpt::poses::CPoseOrPoint< DERIVEDCLASS >::y(), and mrpt::poses::CPose3D::yaw().
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overrideprotectedvirtual |
Pure virtual method for reading (deserializing) from an abstract archive.
Users don't call this method directly. Instead, use stream >> object;
.
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. |
std::exception | On any I/O error |
Implements mrpt::serialization::CSerializable.
Definition at line 89 of file CPose3DPDFGaussianInf.cpp.
References cov_inv, mrpt::math::deserializeSymmetricMatrixFrom(), mean, and MRPT_THROW_UNKNOWN_SERIALIZATION_VERSION.
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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 82 of file CPose3DPDFGaussianInf.cpp.
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overrideprotectedvirtual |
Pure virtual method for writing (serializing) to an abstract archive.
Users don't call this method directly. Instead, use stream << object;
.
std::exception | On any I/O error |
Implements mrpt::serialization::CSerializable.
Definition at line 83 of file CPose3DPDFGaussianInf.cpp.
References cov_inv, mean, and mrpt::math::serializeSymmetricMatrixTo().
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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.
mxArray
(caller is responsible of memory freeing) or nullptr is class does not support conversion to MATLAB. Definition at line 70 of file CSerializable.h.
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staticprotected |
Definition at line 45 of file CPose3DPDFGaussianInf.h.
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staticconstexpr |
Definition at line 45 of file CPose3DPDFGaussianInf.h.
mrpt::math::CMatrixDouble66 mrpt::poses::CPose3DPDFGaussianInf::cov_inv |
The inverse of the 6x6 covariance matrix.
Definition at line 61 of file CPose3DPDFGaussianInf.h.
Referenced by assureSymmetry(), mrpt::poses::CPosePDFGaussianInf::copyFrom(), copyFrom(), mrpt::poses::CPose3DPDF::createFrom2D(), drawManySamples(), drawSingleSample(), getCovarianceAndMean(), getInformationMatrix(), getInvCovSubmatrix2D(), mahalanobisDistanceTo(), operator+=(), operator-=(), mrpt::poses::operator==(), saveToTextFile(), serializeFrom(), serializeTo(), and mrpt::graphs::detail::graph_ops< graph_t >::write_EDGE_line().
CPose3D mrpt::poses::CPose3DPDFGaussianInf::mean |
The mean value.
Definition at line 59 of file CPose3DPDFGaussianInf.h.
Referenced by copyFrom(), mrpt::graphs::detail::TPosePDFHelper< CPose2D >::copyFrom3D(), mrpt::graphs::detail::TPosePDFHelper< CPose3D >::copyFrom3D(), mrpt::poses::CPose3DPDF::createFrom2D(), drawManySamples(), drawSingleSample(), getCovarianceAndMean(), getMean(), getPoseMean(), mahalanobisDistanceTo(), operator+=(), operator-=(), mrpt::poses::operator==(), saveToTextFile(), serializeFrom(), serializeTo(), and mrpt::graphs::detail::graph_ops< graph_t >::write_EDGE_line().
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staticprotected |
Definition at line 45 of file CPose3DPDFGaussianInf.h.
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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 33 of file CProbabilityDensityFunction.h.
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