opentl::tracker::InfoFilter::InfoFilter::InfoFilterData Class Reference

List of all members.

Public Member Functions
void	deleteData ()
	InfoFilterData ()
void	resizeData (int sdim, int zdim)
	~InfoFilterData ()
Public Attributes
math::SquareMatrix *	covQ
	Matrix Q covariance (process noise).
math::Vector *	innov
	Innovation (global residual).
math::Vector *	invCovR
	Inverse of matrix R measurement noise NOTE: We already get invCovR from the measurements!
math::SquareMatrix *	matA
	State transition matrix A.
math::Matrix *	matH
	Matrix H = Jacobian of measurement model.
math::Matrix *	matHT
	Transpose of H.
math::SquareMatrix *	matI
	just the identity-matrix I
int	measDim
	dimensions of measurement and state
bool	mNullInfoMat
	flag: if the information matrix is zero, then no output can be computed (mean, covariance)!
math::SquareMatrix *	pPostInfoMat
	Inverse error covariance O(k+1|k+1) = Information matrix.
math::Vector *	pPostInfoVec
	Information vector = O(k+1|k+1)*x(k+1|k+1).
math::SquareMatrix *	pPriorInfoMat
	Inverse error covariance O(k+1|k) = Information matrix.
math::Vector *	pPriorInfoVec
	Information vector = O(k+1|k)*x(k+1|k).
int	stateLieDim
math::Matrix *	tmpMat
	temporary support matrices
math::Matrix *	tmpVec

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Constructor & Destructor Documentation

opentl::tracker::InfoFilter::InfoFilter::InfoFilterData::InfoFilterData

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)

opentl::tracker::InfoFilter::InfoFilter::InfoFilterData::~InfoFilterData

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Member Function Documentation

void opentl::tracker::InfoFilter::InfoFilter::InfoFilterData::deleteData

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)

void opentl::tracker::InfoFilter::InfoFilter::InfoFilterData::resizeData	(	int	sdim,
		int	zdim
	)

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Member Data Documentation

math::SquareMatrix* opentl::tracker::InfoFilter::InfoFilter::InfoFilterData::covQ

Matrix Q covariance (process noise).

math::Vector* opentl::tracker::InfoFilter::InfoFilter::InfoFilterData::innov

Innovation (global residual).

math::Vector* opentl::tracker::InfoFilter::InfoFilter::InfoFilterData::invCovR

Inverse of matrix R measurement noise NOTE: We already get invCovR from the measurements!

math::SquareMatrix* opentl::tracker::InfoFilter::InfoFilter::InfoFilterData::matA

State transition matrix A.

math::Matrix* opentl::tracker::InfoFilter::InfoFilter::InfoFilterData::matH

Matrix H = Jacobian of measurement model.

math::Matrix* opentl::tracker::InfoFilter::InfoFilter::InfoFilterData::matHT

Transpose of H.

math::SquareMatrix* opentl::tracker::InfoFilter::InfoFilter::InfoFilterData::matI

just the identity-matrix I

int opentl::tracker::InfoFilter::InfoFilter::InfoFilterData::measDim

dimensions of measurement and state

bool opentl::tracker::InfoFilter::InfoFilter::InfoFilterData::mNullInfoMat

flag: if the information matrix is zero, then no output can be computed (mean, covariance)!

math::SquareMatrix* opentl::tracker::InfoFilter::InfoFilter::InfoFilterData::pPostInfoMat

Inverse error covariance O(k+1|k+1) = Information matrix.

math::Vector* opentl::tracker::InfoFilter::InfoFilter::InfoFilterData::pPostInfoVec

Information vector = O(k+1|k+1)*x(k+1|k+1).

math::SquareMatrix* opentl::tracker::InfoFilter::InfoFilter::InfoFilterData::pPriorInfoMat

Inverse error covariance O(k+1|k) = Information matrix.

math::Vector* opentl::tracker::InfoFilter::InfoFilter::InfoFilterData::pPriorInfoVec

Information vector = O(k+1|k)*x(k+1|k).

int opentl::tracker::InfoFilter::InfoFilter::InfoFilterData::stateLieDim

math::Matrix* opentl::tracker::InfoFilter::InfoFilter::InfoFilterData::tmpMat

temporary support matrices

math::Matrix* opentl::tracker::InfoFilter::InfoFilter::InfoFilterData::tmpVec