51 :
mean(init_Mean), cov_inv(init_Cov)
59 :
mean(init_Mean), cov_inv()
130 if (
this == &o)
return;
187 for (
unsigned int i = 0; i < 6; i++)
199 const CPose3D& newReferenceBase)
205 a.changeCoordinatesReference(newReferenceBase);
231 "__DEBUG_EXC_DUMP_drawSingleSample_COV_INV.txt"););
238 size_t N, vector<CVectorDouble>& outSamples)
const 248 it != outSamples.end(); ++it)
250 (*it)[0] +=
mean.
x();
251 (*it)[1] +=
mean.
y();
252 (*it)[2] +=
mean.z();
303 df_dx.multiply_HCHt(OLD_COV_INV,
cov_inv);
367 for (
unsigned int i = 0; i <
size(
cov_inv, 1) - 1; i++)
368 for (
unsigned int j = i + 1; j <
size(
cov_inv, 1); j++)
386 for (
int i = 0; i < 6; i++)
388 if (COV_.get_unsafe(i, i) == 0)
390 if (MU.get_unsafe(i, 0) != 0)
391 return std::numeric_limits<double>::infinity();
393 COV_.get_unsafe(i, i) = 1;
399 return std::sqrt(MU.multiply_HtCH_scalar(COV_.inv()));
409 out <<
"Mean: " <<
obj.mean <<
"\n";
410 out <<
"Inverse cov:\n" <<
obj.cov_inv <<
"\n";
420 out_cov.setSize(3, 3);
422 for (
int i = 0; i < 3; i++)
424 int a = i == 2 ? 3 : i;
425 for (
int j = i; j < 3; j++)
427 int b = j == 2 ? 3 : j;
429 out_cov.set_unsafe(i, j, f);
430 out_cov.set_unsafe(j, i, f);
A namespace of pseudo-random numbers genrators of diferent distributions.
double evaluatePDF(const CPose3D &x) const
Evaluates the PDF at a given point.
double x() const
Common members of all points & poses classes.
Classes for serialization, sockets, ini-file manipulation, streams, list of properties-values, timewatch, extensions to STL.
CPose3D mean
The mean value.
void inverse(CPose3DPDF &o) const override
Returns a new PDF such as: NEW_PDF = (0,0,0) - THIS_PDF.
#define MRPT_END_WITH_CLEAN_UP(stuff)
This namespace provides a OS-independent interface to many useful functions: filenames manipulation...
int void fclose(FILE *f)
An OS-independent version of fclose.
#define IMPLEMENTS_SERIALIZABLE(class_name, base, NameSpace)
This must be inserted in all CSerializable classes implementation files.
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.
mrpt::math::TPoint2D operator+(const CPose2D &pose, const mrpt::math::TPoint2D &pnt)
Compose a 2D point from a new coordinate base given by a 2D pose.
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.
#define THROW_EXCEPTION(msg)
void 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 ...
mrpt::math::CMatrixDouble66 cov_inv
The inverse of the 6x6 covariance matrix.
Column vector, like Eigen::MatrixX*, but automatically initialized to zeros since construction...
double pitch() const
Get the PITCH angle (in radians)
double yaw() const
Get the YAW angle (in radians)
CPose3DPDFGaussianInf()
Default constructor - mean: all zeros, inverse covariance=all zeros -> so be careful! ...
GLsizei GLsizei GLuint * obj
void writeToStream(mrpt::utils::CStream &out, int *getVersion) const override
Introduces a pure virtual method responsible for writing to a CStream.
Declares a class that represents a Probability Density function (PDF) of a 3D pose using a quaternion...
virtual const mrpt::utils::TRuntimeClassId * GetRuntimeClass() const override
Returns information about the class of an object in runtime.
This base class is used to provide a unified interface to files,memory buffers,..Please see the deriv...
double mahalanobisDistanceTo(const CPose3DPDFGaussianInf &theOther)
Computes the Mahalanobis distance between the centers of two Gaussians.
A numeric matrix of compile-time fixed size.
void bayesianFusion(const CPose3DPDF &p1, const CPose3DPDF &p2) override
Bayesian fusion of two points gauss.
This base provides a set of functions for maths stuff.
void changeCoordinatesReference(const CPose3D &newReferenceBase) override
this = p (+) this.
#define CLASS_ID(T)
Access to runtime class ID for a defined class name.
#define MRPT_UNUSED_PARAM(a)
Can be used to avoid "not used parameters" warnings from the compiler.
#define MRPT_THROW_UNKNOWN_SERIALIZATION_VERSION(__V)
For use in CSerializable implementations.
void drawGaussianMultivariateMany(VECTOR_OF_VECTORS &ret, size_t desiredSamples, const COVMATRIX &cov, const typename VECTOR_OF_VECTORS::value_type *mean=nullptr)
Generate a given number of multidimensional random samples according to a given covariance matrix...
CPose2D operator-(const CPose2D &p)
Unary - operator: return the inverse pose "-p" (Note that is NOT the same than a pose with negative x...
void readFromStream(mrpt::utils::CStream &in, int version) override
Introduces a pure virtual method responsible for loading from a CStream This can not be used directly...
CPose3D mean
The mean value.
void copyFrom(const CPose3DPDF &o) override
Copy operator, translating if necesary (for example, between particles and gaussian representations) ...
T wrapToPi(T a)
Modifies the given angle to translate it into the ]-pi,pi] range.
Declares a class that represents a probability density function (pdf) of a 2D pose (x...
Classes for 2D/3D geometry representation, both of single values and probability density distribution...
double roll() const
Get the ROLL angle (in radians)
int fprintf(FILE *fil, const char *format,...) noexcept MRPT_printf_format_check(2
An OS-independent version of fprintf.
double evaluateNormalizedPDF(const CPose3D &x) const
Evaluates the ratio PDF(x) / PDF(MEAN), that is, the normalized PDF in the range [0,1].
void operator+=(const CPose3D &Ap)
Makes: thisPDF = thisPDF + Ap, where "+" is pose composition (both the mean, and the covariance matri...
void operator-=(const CPose3DPDFGaussianInf &Ap)
Makes: thisPDF = thisPDF - Ap, where "-" is pose inverse composition (both the mean, and the covariance matrix are updated)
This is the global namespace for all Mobile Robot Programming Toolkit (MRPT) libraries.
A Probability Density function (PDF) of a 2D pose as a Gaussian with a mean and the inverse of the c...
GLdouble GLdouble GLdouble r
CPose2D mean
The mean value.
bool operator==(const CPoint< DERIVEDCLASS > &p1, const CPoint< DERIVEDCLASS > &p2)
A class used to store a 3D pose (a 3D translation + a rotation in 3D).
void assureSymmetry()
Assures the symmetry of the covariance matrix (eventually certain operations in the math-coprocessor ...
#define IS_CLASS(ptrObj, class_name)
Evaluates to true if the given pointer to an object (derived from mrpt::utils::CSerializable) is of t...
void setFromValues(const double x0, const double y0, const double z0, const double yaw=0, const double pitch=0, const double roll=0)
Set the pose from a 3D position (meters) and yaw/pitch/roll angles (radians) - This method recomputes...
Declares a class that represents a Probability Density function (PDF) of a 3D pose as a Gaussian des...
Declares a class that represents a Probability Density function (PDF) of a 3D pose ...
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.
void drawSingleSample(CPose3D &outPart) const override
Draws a single sample from the distribution.
FILE * fopen(const char *fileName, const char *mode) noexcept
An OS-independent version of fopen.
virtual void getCovarianceAndMean(mrpt::math::CMatrixFixedNumeric< double, STATE_LEN, STATE_LEN > &cov, TDATA &mean_point) const =0
Returns an estimate of the pose covariance matrix (STATE_LENxSTATE_LEN cov matrix) and the mean...
Eigen::Matrix< typename MATRIX::Scalar, MATRIX::ColsAtCompileTime, MATRIX::ColsAtCompileTime > cov(const MATRIX &v)
Computes the covariance matrix from a list of samples in an NxM matrix, where each row is a sample...
void drawGaussianMultivariate(std::vector< T > &out_result, const mrpt::math::CMatrixTemplateNumeric< T > &cov, const std::vector< T > *mean=nullptr)
Generate multidimensional random samples according to a given covariance matrix.
CRandomGenerator & getRandomGenerator()
A static instance of a CRandomGenerator class, for use in single-thread applications.
GLubyte GLubyte GLubyte a
Declares a class that represents a Probability Density Function (PDF) of a 3D pose (6D actually)...
mrpt::math::CMatrixDouble33 cov_inv
The inverse of the 3x3 covariance matrix (the "information" matrix)
EIGEN_STRONG_INLINE double mean() const
Computes the mean of the entire matrix.
CMatrixFixedNumeric< double, 6, 1 > CMatrixDouble61
std::ostream & operator<<(std::ostream &o, const CPoint< DERIVEDCLASS > &p)
Dumps a point as a string [x,y] or [x,y,z].