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 | 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... | |
Typedefs | |
typedef double | KFTYPE |
The type of all vectors and matrices in CKalmanFilterCapable. | |
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... |
typedef double mrpt::bayes::KFTYPE |
The type of all vectors and matrices in CKalmanFilterCapable.
Definition at line 55 of file CKalmanFilterCapable.h.
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.
Definition at line 46 of file CKalmanFilterCapable.h.
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