#include <mrpt/poses/CPosePDF.h>
#include <mrpt/math/CMatrixFixedNumeric.h>

Include dependency graph for CPosePDFGaussianInf.h:

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Classes
class	mrpt::poses::CPosePDFGaussianInf
	A Probability Density function (PDF) of a 2D pose $p(\mathbf{x}) = [x ~ y ~ \phi ]^t$ as a Gaussian with a mean and the inverse of the covariance. More...

Namespaces
	mrpt::poses
	Classes for 2D/3D geometry representation, both of single values and probability density distributions (PDFs) in many forms.

Functions
bool	mrpt::poses::operator== (const CPosePDFGaussianInf &p1, const CPosePDFGaussianInf &p2)

CPosePDFGaussianInf	mrpt::poses::operator+ (const CPosePDFGaussianInf &a, const CPosePDFGaussianInf &b)
	Pose compose operator: RES = A (+) B , computing both the mean and the covariance. More...

CPosePDFGaussianInf	mrpt::poses::operator- (const CPosePDFGaussianInf &a, const CPosePDFGaussianInf &b)
	Pose inverse compose operator: RES = A (-) B , computing both the mean and the covariance. More...

poses::CPosePDFGaussianInf	mrpt::poses::operator+ (const mrpt::poses::CPose2D &A, const mrpt::poses::CPosePDFGaussianInf &B)
	Returns the Gaussian distribution of $\mathbf{C}$ , for $\mathbf{C} = \mathbf{A} \oplus \mathbf{B}$ . More...

std::ostream &	mrpt::poses::operator<< (std::ostream &out, const CPosePDFGaussianInf &obj)
	Dumps the mean and covariance matrix to a text stream. More...

Classes

Namespaces