, including all inherited members.
_GetBaseClass() | mrpt::utils::CSerializable | [protected, static] |
append(CPosePDFParticles &o) | mrpt::poses::CPosePDFParticles | |
auxiliarComputeObservationLikelihood(const bayes::CParticleFilter::TParticleFilterOptions &PF_options, const CParticleFilterCapable *obj, size_t particleIndexForMap, const CSensoryFrame *observation, const CPose2D *x) | mrpt::poses::CPosePDFParticles | [private, static] |
bayesianFusion(CPosePDF &p1, CPosePDF &p2, const double &minMahalanobisDistToDrop=0) | mrpt::poses::CPosePDFParticles | [virtual] |
changeCoordinatesReference(const CPose3D &newReferenceBase) | mrpt::poses::CPosePDFParticles | [virtual] |
classCSerializable | mrpt::utils::CSerializable | [static] |
clear() | mrpt::poses::CPosePDFParticles | |
clearParticles() | mrpt::bayes::CParticleFilterData< CPose2D > | [inline] |
clone() const | mrpt::utils::CSerializable | [inline] |
computeResampling(CParticleFilter::TParticleResamplingAlgorithm method, const std::vector< double > &in_logWeights, std::vector< size_t > &out_indexes) | mrpt::bayes::CParticleFilterCapable | [static] |
copyFrom(const CPosePDF &o) | mrpt::poses::CPosePDFParticles | [virtual] |
CParticleData typedef | mrpt::bayes::CParticleFilterData< CPose2D > | |
CParticleFilterCapable() | mrpt::bayes::CParticleFilterCapable | [inline] |
CParticleFilterData() | mrpt::bayes::CParticleFilterData< CPose2D > | [inline] |
CParticleList typedef | mrpt::bayes::CParticleFilterData< CPose2D > | |
CPosePDFParticles(size_t M=1) | mrpt::poses::CPosePDFParticles | |
CPosePDFParticles(const CPosePDFParticles &obj) | mrpt::poses::CPosePDFParticles | [inline] |
defaultEvaluator(const bayes::CParticleFilter::TParticleFilterOptions &PF_options, const CParticleFilterCapable *obj, size_t index, const void *action, const void *observation) | mrpt::bayes::CParticleFilterCapable | [inline, static] |
drawManySamples(size_t N, std::vector< vector_double > &outSamples) const | mrpt::poses::CPosePDFParticles | [virtual] |
drawSingleSample(CPose2D &outPart) const | mrpt::poses::CPosePDFParticles | |
mrpt::poses::CPosePDF::drawSingleSample(CPose2D &outPart) const =0 | mrpt::utils::CProbabilityDensityFunction< CPose2D, 3 > | [pure virtual] |
duplicate() const =0 | mrpt::utils::CSerializable | [pure virtual] |
ESS()=0 | mrpt::bayes::CParticleFilterCapable | [pure virtual] |
evaluatePDF_parzen(const double &x, const double &y, const double &phi, const double &stdXY, const double &stdPhi) const | mrpt::poses::CPosePDFParticles | |
fastDrawSample(const bayes::CParticleFilter::TParticleFilterOptions &PF_options) const | mrpt::bayes::CParticleFilterCapable | |
getCovariance(CMatrixDouble &cov) const | mrpt::utils::CProbabilityDensityFunction< CPose2D, 3 > | [inline] |
getCovariance(CMatrixFixedNumeric< double, STATE_LEN, STATE_LEN > &cov) const | mrpt::utils::CProbabilityDensityFunction< CPose2D, 3 > | [inline] |
getCovariance() const | mrpt::utils::CProbabilityDensityFunction< CPose2D, 3 > | [inline] |
getCovarianceAndMean(CMatrixDouble33 &cov, CPose2D &mean_point) const | mrpt::poses::CPosePDFParticles | |
mrpt::poses::CPosePDF::getCovarianceAndMean(CMatrixFixedNumeric< double, STATE_LEN, STATE_LEN > &cov, CPose2D &mean_point) const =0 | mrpt::utils::CProbabilityDensityFunction< CPose2D, 3 > | [pure virtual] |
getCovarianceDynAndMean(CMatrixDouble &cov, CPose2D &mean_point) const | mrpt::utils::CProbabilityDensityFunction< CPose2D, 3 > | [inline] |
getCovarianceEntropy() const | mrpt::utils::CProbabilityDensityFunction< CPose2D, 3 > | [inline] |
getMean(CPose2D &mean_pose) const | mrpt::poses::CPosePDFParticles | |
mrpt::poses::CPosePDF::getMean(CPose2D &mean_point) const =0 | mrpt::utils::CProbabilityDensityFunction< CPose2D, 3 > | [pure virtual] |
getMeanVal() const | mrpt::utils::CProbabilityDensityFunction< CPose2D, 3 > | [inline] |
getMostLikelyParticle() const | mrpt::poses::CPosePDFParticles | |
getParticlePose(size_t i) const | mrpt::poses::CPosePDFParticles | |
GetRuntimeClass() const | mrpt::utils::CSerializable | [virtual] |
getW(size_t i) const =0 | mrpt::bayes::CParticleFilterCapable | [pure virtual] |
getWeights(vector_double &out_logWeights) const | mrpt::bayes::CParticleFilterData< CPose2D > | [inline] |
IMPLEMENT_PARTICLE_FILTER_CAPABLE(CPose2D) | mrpt::poses::CPosePDFParticles | [private] |
inverse(CPosePDF &o) const | mrpt::poses::CPosePDFParticles | [virtual] |
log2linearWeights(const vector_double &in_logWeights, vector_double &out_linWeights) | mrpt::bayes::CParticleFilterCapable | [static] |
m_fastDrawAuxiliary | mrpt::bayes::CParticleFilterCapable | [mutable, protected] |
m_movementDrawer | mrpt::poses::CPosePDFParticles | [private] |
m_particles | mrpt::bayes::CParticleFilterData< CPose2D > | |
m_pfAuxiliaryPFOptimal_estimatedProb | mrpt::poses::CPosePDFParticles | [mutable, private] |
m_pfAuxiliaryPFStandard_estimatedProb | mrpt::poses::CPosePDFParticles | [mutable, private] |
mrpt::utils::CStream class | mrpt::utils::CSerializable | [friend] |
MRPT_DECLARE_DEPRECATED_FUNCTION("**deprecated** Use getMean instead", CPose2D getEstimatedPose() const ) | mrpt::poses::CPosePDF | [inline] |
CProbabilityDensityFunction< CPose2D, 3 >::MRPT_DECLARE_DEPRECATED_FUNCTION("**deprecated** Use getCovariance instead", CMatrixD getEstimatedCovariance() const ) | mrpt::utils::CProbabilityDensityFunction< CPose2D, 3 > | [inline] |
normalizeWeights(double *out_max_log_w=NULL)=0 | mrpt::bayes::CParticleFilterCapable | [pure virtual] |
operator+=(CPose2D Ap) | mrpt::poses::CPosePDFParticles | |
options | mrpt::poses::CPosePDFParticles | |
particlesCount() const =0 | mrpt::bayes::CParticleFilterCapable | [pure virtual] |
particlesEvaluator_AuxPFOptimal(const bayes::CParticleFilter::TParticleFilterOptions &PF_options, const CParticleFilterCapable *obj, size_t index, const void *action, const void *observation) | mrpt::poses::CPosePDFParticles | [private, static] |
particlesEvaluator_AuxPFStandard(const bayes::CParticleFilter::TParticleFilterOptions &PF_options, const CParticleFilterCapable *obj, size_t index, const void *action, const void *observation) | mrpt::poses::CPosePDFParticles | [private, static] |
performResampling(const bayes::CParticleFilter::TParticleFilterOptions &PF_options) | mrpt::bayes::CParticleFilterCapable | |
performSubstitution(std::vector< int > &indx) | mrpt::poses::CPosePDFParticles | |
mrpt::bayes::CParticleFilterCapable::performSubstitution(const std::vector< size_t > &indx)=0 | mrpt::bayes::CParticleFilterCapable | [pure virtual] |
prediction_and_update(const mrpt::slam::CActionCollection *action, const mrpt::slam::CSensoryFrame *observation, const bayes::CParticleFilter::TParticleFilterOptions &PF_options) | mrpt::bayes::CParticleFilterCapable | |
prediction_and_update_pfAuxiliaryPFOptimal(const mrpt::slam::CActionCollection *action, const mrpt::slam::CSensoryFrame *observation, const bayes::CParticleFilter::TParticleFilterOptions &PF_options) | mrpt::poses::CPosePDFParticles | [virtual] |
prediction_and_update_pfAuxiliaryPFStandard(const mrpt::slam::CActionCollection *action, const mrpt::slam::CSensoryFrame *observation, const bayes::CParticleFilter::TParticleFilterOptions &PF_options) | mrpt::poses::CPosePDFParticles | [virtual] |
prediction_and_update_pfOptimalProposal(const mrpt::slam::CActionCollection *action, const mrpt::slam::CSensoryFrame *observation, const bayes::CParticleFilter::TParticleFilterOptions &PF_options) | mrpt::bayes::CParticleFilterCapable | [protected, virtual] |
prediction_and_update_pfStandardProposal(const mrpt::slam::CActionCollection *action, const mrpt::slam::CSensoryFrame *observation, const bayes::CParticleFilter::TParticleFilterOptions &PF_options) | mrpt::poses::CPosePDFParticles | [virtual] |
prepareFastDrawSample(const bayes::CParticleFilter::TParticleFilterOptions &PF_options, TParticleProbabilityEvaluator partEvaluator=defaultEvaluator, const void *action=NULL, const void *observation=NULL) const | mrpt::bayes::CParticleFilterCapable | |
readFromStream(mrpt::utils::CStream &in, int version)=0 | mrpt::utils::CSerializable | [protected, pure virtual] |
readParticlesFromStream(utils::CStream &in) | mrpt::bayes::CParticleFilterData< CPose2D > | [inline] |
resetDeterministic(const CPose2D &location, size_t particlesCount=0) | mrpt::poses::CPosePDFParticles | |
resetUniform(const double &x_min, const double &x_max, const double &y_min, const double &y_max, const double &phi_min=-M_PI, const double &phi_max=M_PI, const int &particlesCount=-1) | mrpt::poses::CPosePDFParticles | |
resetUniformFreeSpace(COccupancyGridMap2D *theMap, const double &freeCellsThreshold=0.7, const int &particlesCount=-1, const double &x_min=-1e10f, const double &x_max=1e10f, const double &y_min=-1e10f, const double &y_max=1e10f, const double &phi_min=-M_PI, const double &phi_max=M_PI) | mrpt::poses::CPosePDFParticles | |
saveParzenPDFToTextFile(const char *fileName, const double &x_min, const double &x_max, const double &y_min, const double &y_max, const double &phi, const double &stepSizeXY, const double &stdXY, const double &stdPhi) const | mrpt::poses::CPosePDFParticles | |
saveToTextFile(const std::string &file) const | mrpt::poses::CPosePDFParticles | [virtual] |
setW(size_t i, double w)=0 | mrpt::bayes::CParticleFilterCapable | [pure virtual] |
size() const | mrpt::poses::CPosePDFParticles | [inline] |
state_length | mrpt::utils::CProbabilityDensityFunction< CPose2D, 3 > | [static] |
TParticleProbabilityEvaluator typedef | mrpt::bayes::CParticleFilterCapable | |
type_value typedef | mrpt::utils::CProbabilityDensityFunction< CPose2D, 3 > | |
writeParticlesToStream(utils::CStream &out) const | mrpt::bayes::CParticleFilterData< CPose2D > | [inline] |
writeToStream(mrpt::utils::CStream &out, int *getVersion) const =0 | mrpt::utils::CSerializable | [protected, pure virtual] |
~CParticleFilterCapable() | mrpt::bayes::CParticleFilterCapable | [inline, virtual] |
~CParticleFilterData() | mrpt::bayes::CParticleFilterData< CPose2D > | [inline, virtual] |
~CPosePDFParticles() | mrpt::poses::CPosePDFParticles | [virtual] |
~CSerializable() | mrpt::utils::CSerializable | [virtual] |