Class List
Here are the classes, structs, unions and interfaces with brief descriptions:
BFL::AnalyticConditionalGaussianAbstract Class representing all _FULL_ Analytical Conditional gaussians
BFL::AnalyticConditionalGaussianAdditiveNoiseAbstract Class representing all full Analytical Conditional gaussians with Additive Gaussian Noise
BFL::AnalyticMeasurementModelGaussianUncertainty
BFL::AnalyticSystemModelGaussianUncertaintyClass for analytic system models with additive Gauss. uncertainty
BFL::ASIRFilter< StateVar, MeasVar >ASIR: Auxiliary Particle Filter
BFL::BackwardFilter< StateVar >Virtual Baseclass representing all bayesian backward filters
BFL::bflToolkitPlugin
BFL::BootstrapFilter< StateVar, MeasVar >Particular particle filter : Proposal PDF = SystemPDF
MatrixWrapper::ColumnVector_WrapperClass ColumnVectorWrapper
BFL::MatrixWrapper::ColumnVector_WrapperClass ColumnVectorWrapper
Complete_FilterTest
BFL::ConditionalGaussianAbstract Class representing all Conditional gaussians
BFL::ConditionalGaussianAdditiveNoiseAbstract Class representing all Conditional Gaussians with additive gaussian noise
BFL::ConditionalPdf< Var, CondArg >Abstract Class representing conditional Pdfs P(x | ...)
BFL::ConditionalUniformMeasPdf1d
BFL::DiscreteConditionalPdfAbstract Class representing all _FULLY_ Discrete Conditional PDF's
BFL::DiscretePdfClass representing a PDF on a discrete variable
BFL::BFL::DiscretePdfClass representing a PDF on a discrete variable
BFL::DiscreteSystemModelClass for discrete System Models
BFL::EKFProposalDensityProposal Density for non-linear systems with additive Gaussian Noise (using a EKF Filter)
BFL::EKFTest
BFL::EKParticleFilterParticle filter using EKF for proposal step
BFL::ExtendedKalmanFilter
BFL::Filter< StateVar, MeasVar >Abstract class representing an interface for Bayesian Filters
BFL::FilterProposalDensityProposal Density for non-linear systems with additive Gaussian Noise (using a (analytic) Filter)
BFL::GaussianClass representing Gaussian (or normal density)
BFL::get_size
BFL::HistogramFilter< MeasVar >Class representing the histogram filter
BFL::InnovationCheckClass implementing an innovationCheck used in IEKF
BFL::IteratedExtendedKalmanFilter
BFL::KalmanFilterClass representing the family of all Kalman Filters (EKF, IEKF, ...)
BFL::LinearAnalyticConditionalGaussianLinear Conditional Gaussian
BFL::LinearAnalyticMeasurementModelGaussianUncertaintyClass for linear analytic measurementmodels with additive gaussian noise
BFL::LinearAnalyticMeasurementModelGaussianUncertainty_ImplicitClass for linear analytic measurementmodels with additive gaussian noise
BFL::LinearAnalyticSystemModelGaussianUncertaintyClass for linear analytic systemmodels with additive gaussian noise
BFL::matrix_i_j_constructor
BFL::matrix_index
MatrixWrapper::Matrix_WrapperClass Matrixwrapper
BFL::MatrixWrapper::Matrix_WrapperClass Matrixwrapper
BFL::MatrixAssignChecker< T >
BFL::MatrixIndexChecker< T >
BFL::MatrixTypeInfo
MatrixwrapperTest
BFL::MCPdf< T >Monte Carlo Pdf: Sample based implementation of Pdf
BFL::BFL::MCPdf< T >Monte Carlo Pdf: Sample based implementation of Pdf
BFL::KalmanFilter::MeasUpdateVariables
BFL::ExtendedKalmanFilter::MeasUpdateVariablesExt
BFL::IteratedExtendedKalmanFilter::MeasUpdateVariablesIExt
BFL::MeasurementModel< MeasVar, StateVar >
BFL::Mixture< T >Class representing a mixture of PDFs, the mixture can contain different
BFL::BFL::Mixture< T >Class representing a mixture of PDFs, the mixture can contain different
BFL::MixtureBootstrapFilter< StateVar, MeasVar >Particular mixture particle filter : Proposal PDF = SystemPDF
BFL::MixtureParticleFilter< StateVar, MeasVar >Virtual Class representing all Mixture particle filters
BFL::MobileRobotThis is a class simulating a mobile robot
ModelTest
ModelTestGinac
MyType
BFL::NonLinearAnalyticConditionalGaussian_GinacConditional Gaussian for an analytic nonlinear system using Ginac:
BFL::NonLinearAnalyticConditionalGaussianMobileNon Linear Conditional Gaussian
BFL::NonLinearAnalyticMeasurementModelGaussianUncertainty_GinacClass for nonlinear analytic measurementmodels with additive gaussian noise
BFL::NonLinearAnalyticSystemModelGaussianUncertainty_GinacClass for nonlinear analytic systemmodels with additive gaussian noise
BFL::NonlinearMeasurementPdfNon Linear Conditional Gaussian
BFL::NonlinearSystemPdfNon Linear Conditional Gaussian
BFL::NonminimalKalmanFilter
BFL::OptimalImportanceDensityOptimal importance density for Nonlinear Gaussian SS Models
BFL::Optimalimportancefilter< StateVar, MeasVar >Particular particle filter: Proposal PDF = Optimal Importance function
BFL::ParticleFilter< StateVar, MeasVar >Virtual Class representing all particle filters
BFL::ParticleSmoother< StateVar >Class representing a particle backward filter
BFL::Pdf< T >Class PDF: Virtual Base class representing Probability Density Functions
BFL::BFL::Pdf< T >Class PDF: Virtual Base class representing Probability Density Functions
PdfTest
BFL::ProbabilityClass representing a probability (a double between 0 and 1)
BFL::BFL::ProbabilityClass representing a probability (a double between 0 and 1)
BFL::Probability_ctor
BFL::ProbabilityTypeInfo
BFL::RauchTungStriebelClass representing all Rauch-Tung-Striebel backward filters
BFL::rget_size
BFL::MatrixWrapper::RowVector_WrapperClass RowVectorWrapper
MatrixWrapper::RowVector_WrapperClass RowVectorWrapper
BFL::rvector_index
BFL::rvector_index_constructor
BFL::RVectorTypeInfo
BFL::Sample< T >
BFL::BFL::Sample< T >
BFL::Sample_ctor< T >
SampleTest
BFL::SampleTypeInfo< T >
SmootherTest
BFL::SRIteratedExtendedKalmanFilter
BFL::symmetricMatrix_index_constructor
BFL::MatrixWrapper::SymmetricMatrix_WrapperClass SymmetricMatrixWrapper
MatrixWrapper::SymmetricMatrix_WrapperClass SymmetricMatrixWrapper
BFL::SymmetricMatrixTypeInfo
BFL::SystemModel< T >
BFL::UniformClass representing uniform density
BFL::vector_index
BFL::vector_index_constructor
BFL::VectorAssignChecker< T >
BFL::VectorTypeInfo
BFL::WeightedSample< T >
BFL::BFL::WeightedSample< T >
BFL::WeightedSample_ctor< T >
BFL::WeightedSampleTypeInfo< T >


bfl
Author(s): Klaas Gadeyne, Wim Meeussen, Tinne Delaet and many others. See web page for a full contributor list. ROS package maintained by Wim Meeussen.
autogenerated on Mon Feb 11 2019 03:45:17