Detailed Description

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

Namespaces
	detail
	Auxiliary functions, for internal usage of MRPT classes.

Classes
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	CParticleFilterDataImpl
	A curiously recurring template pattern (CRTP) approach to providing the basic functionality of any CParticleFilterData<> class. More...

struct	CProbabilityParticle
	A template class for holding a the data and the weight of a particle. More...

struct	CProbabilityParticle< T, particle_storage_mode::POINTER >

struct	CProbabilityParticle< T, particle_storage_mode::VALUE >

struct	CProbabilityParticleBase

class	CRejectionSamplingCapable
	A base class for implementing rejection sampling in a generic state space. More...

struct	TKF_options
	Generic options for the Kalman Filter algorithm in itself. 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: https://www.mrpt.org/Kalman_Filters. More...

enum	particle_storage_mode { particle_storage_mode::VALUE, particle_storage_mode::POINTER }
	use for CProbabilityParticle More...

Namespaces