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mrpt::bayes Namespace Reference

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  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...
 
struct  CParticleFilterDataImpl
 A curiously recurring template pattern (CRTP) approach to providing the basic functionality of any CParticleFilterData<> class. 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  CKalmanFilterCapable
 Virtual base for Kalman Filter (EKF,IEKF,UKF) implementations. More...
 
struct  TKF_options
 Generic options for the Kalman Filter algorithm in itself. 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://www.mrpt.org/Kalman_Filters. More...
 



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