Detailed Description

Collaboration diagram for 2D/3D point and pose PDFs:

Classes
class	mrpt::poses::CPoint2DPDF
	Declares a class that represents a Probability Distribution function (PDF) of a 2D point (x,y). More...

class	mrpt::poses::CPoint2DPDFGaussian
	A gaussian distribution for 2D points. More...

class	mrpt::poses::CPointPDF
	Declares a class that represents a Probability Distribution function (PDF) of a 3D point (x,y,z). More...

class	mrpt::poses::CPointPDFGaussian
	A gaussian distribution for 3D points. More...

class	mrpt::poses::CPointPDFParticles
	A probability distribution of a 2D/3D point, represented as a set of random samples (particles). More...

class	mrpt::poses::CPointPDFSOG
	Declares a class that represents a Probability Density function (PDF) of a 3D point $p(\mathbf{x}) = [x ~ y ~ z ]^t$ . More...

class	mrpt::poses::CPose2DGridTemplate< T >
	This is a template class for storing a 3D (2D+heading) grid containing any kind of data. More...

class	mrpt::poses::CPose3DPDF
	Declares a class that represents a Probability Density Function (PDF) of a 3D pose (6D actually). More...

class	mrpt::poses::CPose3DPDFGaussian
	Declares a class that represents a Probability Density function (PDF) of a 3D pose $p(\mathbf{x}) = [x ~ y ~ z ~ yaw ~ pitch ~ roll]^t$ . More...

class	mrpt::poses::CPose3DPDFGaussianInf
	Declares a class that represents a Probability Density function (PDF) of a 3D pose $p(\mathbf{x}) = [x ~ y ~ z ~ yaw ~ pitch ~ roll]^t$ as a Gaussian described by its mean and its inverse covariance matrix. More...

class	mrpt::poses::CPose3DPDFGrid
	Declares a class that represents a Probability Distribution function (PDF) of a SE(3) pose (x,y,z, yaw, pitch, roll), in the form of a 6-dimensional grid of "voxels". More...

class	mrpt::poses::CPose3DPDFParticles
	Declares a class that represents a Probability Density function (PDF) of a 3D pose. More...

class	mrpt::poses::CPose3DPDFSOG
	Declares a class that represents a Probability Density function (PDF) of a 3D(6D) pose $p(\mathbf{x}) = [x ~ y ~ z ~ yaw ~ pitch ~ roll]^t$ . More...

class	mrpt::poses::CPose3DQuatPDF
	Declares a class that represents a Probability Density Function (PDF) of a 3D pose (6D actually), by means of a 7-vector with a translation [x y z] and a quaternion [qr qx qy qz]. More...

class	mrpt::poses::CPose3DQuatPDFGaussian
	Declares a class that represents a Probability Density function (PDF) of a 3D pose using a quaternion $p(\mathbf{x}) = [x ~ y ~ z ~ qr ~ qx ~ qy ~ qz]^\top$ . More...

class	mrpt::poses::CPose3DQuatPDFGaussianInf
	Declares a class that represents a Probability Density function (PDF) of a 3D pose using a quaternion $p(\mathbf{x}) = [x ~ y ~ z ~ qr ~ qx ~ qy ~ qz]^\top$ . More...

class	mrpt::poses::CPosePDF
	Declares a class that represents a probability density function (pdf) of a 2D pose (x,y,phi). More...

class	mrpt::poses::CPosePDFGaussian
	Declares a class that represents a Probability Density function (PDF) of a 2D pose $p(\mathbf{x}) = [x ~ y ~ \phi ]^t$ . More...

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...

class	mrpt::poses::CPosePDFGrid
	Declares a class that represents a Probability Distribution function (PDF) of a 2D pose (x,y,phi). More...

class	mrpt::poses::CPosePDFParticles
	Declares a class that represents a Probability Density Function (PDF) over a 2D pose (x,y,phi), using a set of weighted samples. More...

class	mrpt::poses::CPosePDFSOG
	Declares a class that represents a Probability Density function (PDF) of a 2D pose $p(\mathbf{x}) = [x ~ y ~ \phi ]^t$ . More...

class	mrpt::poses::CPoseRandomSampler
	An efficient generator of random samples drawn from a given 2D (CPosePDF) or 3D (CPose3DPDF) pose probability density function (pdf). More...

class	mrpt::poses::CRobot2DPoseEstimator
	A simple filter to estimate and extrapolate the robot 2D (x,y,phi) pose from asynchronous odometry and localization/SLAM data. More...

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

Detailed Description

Classes

Namespaces