class mrpt::poses::CPose3DPDFParticles
Declares a class that represents a Probability Density function (PDF) of a 3D pose.
This class is also the base for the implementation of Monte-Carlo Localization (MCL), in mrpt::slam::CMonteCarloLocalization2D.
See the application “app/pf-localization” for an example of usage.
See also:
CPose3D, CPose3DPDF, CPoseGaussianPDF
#include <mrpt/poses/CPose3DPDFParticles.h> class CPose3DPDFParticles: public mrpt::poses::CPose3DPDF, public mrpt::bayes::CParticleFilterData, public mrpt::bayes::CParticleFilterDataImpl, public mrpt::Stringifyable { public: // construction CPose3DPDFParticles(size_t M = 1); }; // direct descendants class CMonteCarloLocalization3D;
Inherited Members
public: // typedefs typedef CProbabilityDensityFunction<TDATA, STATE_LEN> self_t; // structs struct TFastDrawAuxVars; // methods virtual void copyFrom(const CPose3DPDF& o) = 0; virtual void changeCoordinatesReference(const CPose3D& newReferenceBase) = 0; virtual void bayesianFusion(const CPose3DPDF& p1, const CPose3DPDF& p2) = 0; virtual void inverse(CPose3DPDF& o) const = 0; virtual double getW(size_t i) const = 0; virtual void setW(size_t i, double w) = 0; virtual size_t particlesCount() const = 0; virtual void performSubstitution(const std::vector<size_t>& indx) = 0; virtual double normalizeWeights(double* out_max_log_w = nullptr) = 0; virtual double ESS() const = 0;
Construction
CPose3DPDFParticles(size_t M = 1)
Constructor.
Parameters:
M |
The number of m_particles. |