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... | |
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: http://www.mrpt.org/Kalman_Filters. More... | |
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