mrpt::bayes Namespace Reference

The namespace for Bayesian filtering algorithm: different particle filters and Kalman filter algorithms. More...

Namespaces
namespace	detail
Classes
struct	TKF_options
	Generic options for the Kalman Filter algorithm in itself. More...
class	CKalmanFilterCapable
	Virtual base for Kalman Filter (EKF,IEKF,UKF) implementations. More...
class	CParticleFilter
	This class acts as a common interface to the different interfaces (see CParticleFilter::TParticleFilterAlgorithm) any bayes::CParticleFilterCapable class can implement: it is the invoker of particle filter algorithms. More...
class	CParticleFilterCapable
	This virtual class defines the interface that any particles based PDF class must implement in order to be executed by a mrpt::bayes::CParticleFilter. More...
class	CParticleFilterData
	This template class declares the array of particles and its internal data, managing some memory-related issues and providing an easy implementation of virtual methods required for implementing a CParticleFilterCapable. More...
struct	CProbabilityParticle
	A template class for holding a the data and the weight of a particle. More...
class	CRejectionSamplingCapable
	A base class for implementing rejection sampling in a generic state space. More...
Enumerations
enum	TKFMethod { kfEKFNaive = 0, kfEKFAlaDavison, kfIKFFull, kfIKF }
	The Kalman Filter algorithm to employ in bayes::CKalmanFilterCapable For further details on each algorithm see the tutorial: http://babel.isa.uma.es/mrpt/index.php/Kalman_Filters. More...
enum	TKFFusionMethod { kfFusAll = 0, kfFusSeqMaha, kfFusSeqML }
	Strategies to fuse the observations at a given timestep in a Kalman Filter. More...

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Detailed Description

The namespace for Bayesian filtering algorithm: different particle filters and Kalman filter algorithms.

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Enumeration Type Documentation

enum mrpt::bayes::TKFFusionMethod

Strategies to fuse the observations at a given timestep in a Kalman Filter.

See also:

bayes::CKalmanFilterCapable::KF_options

Enumerator:

kfFusAll	Fuse all the observations at once.
kfFusSeqMaha	Sequential incorporation of observations by order of their Mahalanobis distance, recomputing the KF mean in each step.
kfFusSeqML	Sequential incorporation of observations by order of their Matching-likelihood distance, recomputing the KF mean in each step.

Definition at line 73 of file CKalmanFilterCapable.h.

enum mrpt::bayes::TKFMethod

The Kalman Filter algorithm to employ in bayes::CKalmanFilterCapable For further details on each algorithm see the tutorial: http://babel.isa.uma.es/mrpt/index.php/Kalman_Filters.

See also:

bayes::CKalmanFilterCapable::KF_options

Enumerator:

kfEKFNaive
kfEKFAlaDavison
kfIKFFull
kfIKF

Definition at line 63 of file CKalmanFilterCapable.h.