class mrpt::bayes::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.

The particle filter is executed on a probability density function (PDF) described by a CParticleFilterCapable object, passed in the constructor or alternatively through the CParticleFilter::executeOn method.

For a complete example and further details, see the Particle Filter tutorial.

The basic SIR algorithm (pfStandardProposal) consists of:

Execute a prediction with the given “action”.
Update the weights of the particles using the likelihood of the “observation”.
Normalize weights.
Perform resampling if the ESS is below the threshold options.BETA.

See also:

mrpt::poses::CPoseParticlesPDF

#include <mrpt/bayes/CParticleFilter.h>

class CParticleFilter: public mrpt::system::COutputLogger
{
public:
    // enums

    enum TParticleFilterAlgorithm;
    enum TParticleResamplingAlgorithm;

    // structs

    struct TParticleFilterOptions;
    struct TParticleFilterStats;

    //
fields

    CParticleFilter::TParticleFilterOptions m_options;

    //
methods

    void executeOn(CParticleFilterCapable& obj, const mrpt::obs::CActionCollection* action, const mrpt::obs::CSensoryFrame* observation, TParticleFilterStats* stats = nullptr);
};

Inherited Members¶

public:
    // structs

    struct TMsg;

Fields¶

CParticleFilter::TParticleFilterOptions m_options

The options to be used in the PF, must be set before executing any step of the particle filter.

Methods¶

void executeOn(CParticleFilterCapable& obj, const mrpt::obs::CActionCollection* action, const mrpt::obs::CSensoryFrame* observation, TParticleFilterStats* stats = nullptr)

Executes a complete prediction + update step of the selected particle filtering algorithm.

The member CParticleFilter::m_options must be set before calling this to settle the algorithm parameters.

Parameters:

obj	The object representing the probability distribution function (PDF) which apply the particle filter algorithm to.
action	A pointer to an action in the form of a CActionCollection, or nullptr if there is no action.
observation	A pointer to observations in the form of a CSensoryFrame, or nullptr if there is no observation.
stats	An output structure for gathering statistics of the particle filter execution, or set to nullptr if you do not need it (see CParticleFilter::TParticleFilterStats).