Estimation::PFMeasurementModel< MEAS, STATE > Class Template Reference

Models the measurement process for a particle filter. More...

#include <ParticleFilter.hpp>

List of all members.

Public Member Functions
virtual double	getLikelihood (const MEAS &m, const STATE &s)=0
	Computes likelihood of seeing measurement, given state.

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Detailed Description

template<typename MEAS, typename STATE>
class Estimation::PFMeasurementModel< MEAS, STATE >

Models the measurement process for a particle filter.

A component of a particle filter that models the measurement process. It is used for estimating the likelihood of a particle, for importance sampling.

Author:

Zach Pezzementi

Definition at line 86 of file ParticleFilter.hpp.

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Member Function Documentation

template<typename MEAS, typename STATE>

virtual double Estimation::PFMeasurementModel< MEAS, STATE >::getLikelihood	(	const MEAS &	m,
		const STATE &	s
	)			[pure virtual]

Computes likelihood of seeing measurement, given state.

Parameters:

	s	hypothesized state
	m	measurement

Returns:

likelihood of m, given s

Given a current state, computes the likelihood of observing measurement m in that state, .

Author:

Zach Pezzementi

Implemented in Estimation::PF1DObsModel.

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The documentation for this class was generated from the following file:

• Estimation/BayesFilters/ParticleFilter/ParticleFilter.hpp