Specialisation of covariance ellipsoids in three dimensions. More...

#include <covariance_ellipsoid.hpp>

Public Member Functions
const ecl::linear_algebra::Matrix3d &	axes ()
	Returns the ellipse axes/covariance eigen vectors. More...

void	compute (const ecl::linear_algebra::Matrix3d &M, const bool sort=true)
	Computes the covariance ellipsoid for the specified matrix. More...

	CovarianceEllipsoid ()
	Default constructor, use with compute(). More...

	CovarianceEllipsoid (const ecl::linear_algebra::Matrix3d &M, const bool sort=true)
	Automatically generates ellipsoid information at construction. More...

const ecl::linear_algebra::Vector3d &	lengths ()
	Returns the precomputed ellipsoid minor/major axis lengths. More...

virtual	~CovarianceEllipsoid ()

Private Attributes
ecl::linear_algebra::Matrix3d	ellipse_axes

ecl::linear_algebra::Vector3d	ellipse_lengths

Detailed Description

template<>
class ecl::CovarianceEllipsoid< double, 3 >

Specialisation of covariance ellipsoids in three dimensions.

This creates ellipsoids for 3x3 covariance matrices, i.e. the usual sort for mobile robot navigation. It uses one of the eigen solvers. Currently it seems (we have not checked it thorougly yet) to correlate the order of eigenvalue-eigenvector pairs with the index of the matrix, which is good!

Usage:

This class is also more conveniently typedef'd as CovarianceEllipsoid3d.

You can either instantiate directly through the constructor or by hand via the compute() method. Recomputing is also possible without having to construct an entirely new instance.

CovarianceEllipsoid3d ellipsoid(M); // OR
CovarianceEllipsoid3d ellipsoid_hand;
ellipsoid_hand.compute(M);

Once generated, the ellipse properties can easily be extracted.

Vector3d lengths = ellipsoid.lengths(); // axis lengths.

See also: CovarianceEllipsoid.

Definition at line 438 of file covariance_ellipsoid.hpp.

Constructor & Destructor Documentation

◆ CovarianceEllipsoid() [1/2]

ecl::CovarianceEllipsoid< double, 3 >::CovarianceEllipsoid ( )

Default constructor, use with compute().

This constructor does not do anything - you must use it together with the compute() function. Sometimes useful when using this class with containers.

Definition at line 265 of file covariance_ellipsoid.cpp.

◆ CovarianceEllipsoid() [2/2]

ecl::CovarianceEllipsoid< double, 3 >::CovarianceEllipsoid	(	const ecl::linear_algebra::Matrix3d &	M,
		const bool	sort = `true`
	)

Automatically generates ellipsoid information at construction.

Using the specified input covariance matrix, this constructor automatically generates (indirectly calls compute()) the full ellipse information, making it instantly ready for use.

Parameters

M	: the input covariance matrix (must be symmetric positive definite).
sort	: if true, ensure the resulting set is a right-hand configuration.

Definition at line 270 of file covariance_ellipsoid.cpp.

◆ ~CovarianceEllipsoid()

virtual ecl::CovarianceEllipsoid< double, 3 >::~CovarianceEllipsoid ( )

inlinevirtual

Definition at line 460 of file covariance_ellipsoid.hpp.

Member Function Documentation

◆ axes()

const ecl::linear_algebra::Matrix3d& ecl::CovarianceEllipsoid< double, 3 >::axes ( )

inline

Returns the ellipse axes/covariance eigen vectors.

This returns the ellipse axes (aka covariance eigen vectors) as columns of a matrix.

Returns: Matrix2d : the set of eigenvectors as column vectors in a matrix.

Definition at line 493 of file covariance_ellipsoid.hpp.

◆ compute()

void ecl::CovarianceEllipsoid< double, 3 >::compute	(	const ecl::linear_algebra::Matrix3d &	M,
		const bool	sort = `true`
	)

Computes the covariance ellipsoid for the specified matrix.

This can either be called indirectly via the constructor or directly via this function. In either case, it resets the object and generates/computes the resulting ellipse from the specified input covariance matrix. By default it will sort and normalise the resulting eigenvectors so that they form a right handed system. You can turn this off by setting the sort argument to false.

Parameters

M	: the input covariance matrix (must be symmetric positive definite).
sort	: if true, ensure the resulting set is a right-hand configuration.

Definition at line 273 of file covariance_ellipsoid.cpp.

◆ lengths()

const ecl::linear_algebra::Vector3d& ecl::CovarianceEllipsoid< double, 3 >::lengths ( )

inline

Returns the precomputed ellipsoid minor/major axis lengths.

Returns: Vector2d : the minor/major axis lengths.

Definition at line 484 of file covariance_ellipsoid.hpp.

Member Data Documentation

◆ ellipse_axes

ecl::linear_algebra::Matrix3d ecl::CovarianceEllipsoid< double, 3 >::ellipse_axes

private

Definition at line 499 of file covariance_ellipsoid.hpp.

◆ ellipse_lengths

ecl::linear_algebra::Vector3d ecl::CovarianceEllipsoid< double, 3 >::ellipse_lengths