Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

[detail level 123]

▼NBFL | |

►NBFL | |

►NMatrixWrapper | |

CAnalyticConditionalGaussian | Abstract Class representing all FULL Analytical Conditional gaussians |

CAnalyticConditionalGaussianAdditiveNoise | Abstract Class representing all full Analytical Conditional gaussians with Additive Gaussian Noise |

CAnalyticMeasurementModelGaussianUncertainty | |

CAnalyticSystemModelGaussianUncertainty | Class for analytic system models with additive Gauss. uncertainty |

CASIRFilter | ASIR: Auxiliary Particle Filter |

CBackwardFilter | Virtual Baseclass representing all bayesian backward filters |

CbflToolkitPlugin | |

CBootstrapFilter | Particular particle filter : Proposal PDF = SystemPDF |

CConditionalGaussian | Abstract Class representing all Conditional gaussians |

CConditionalGaussianAdditiveNoise | Abstract Class representing all Conditional Gaussians with additive gaussian noise |

CConditionalPdf | Abstract Class representing conditional Pdfs P(x | ...) |

CConditionalUniformMeasPdf1d | |

CDiscreteConditionalPdf | Abstract Class representing all FULLY Discrete Conditional PDF's |

CDiscretePdf | Class representing a PDF on a discrete variable |

CDiscreteSystemModel | Class for discrete System Models |

CEKFProposalDensity | Proposal Density for non-linear systems with additive Gaussian Noise (using a EKF Filter) |

CEKFTest | |

CEKParticleFilter | Particle filter using EKF for proposal step |

►CExtendedKalmanFilter | |

CFilter | Abstract class representing an interface for Bayesian Filters |

CFilterProposalDensity | Proposal Density for non-linear systems with additive Gaussian Noise (using a (analytic) Filter) |

CGaussian | Class representing Gaussian (or normal density) |

Cget_size | |

CHistogramFilter | Class representing the histogram filter |

CInnovationCheck | Class implementing an innovationCheck used in IEKF |

►CIteratedExtendedKalmanFilter | |

►CKalmanFilter | Class representing the family of all Kalman Filters (EKF, IEKF, ...) |

CLinearAnalyticConditionalGaussian | Linear Conditional Gaussian |

CLinearAnalyticMeasurementModelGaussianUncertainty | Class for linear analytic measurementmodels with additive gaussian noise |

CLinearAnalyticMeasurementModelGaussianUncertainty_Implicit | Class for linear analytic measurementmodels with additive gaussian noise |

CLinearAnalyticSystemModelGaussianUncertainty | Class for linear analytic systemmodels with additive gaussian noise |

Cmatrix_i_j_constructor | |

Cmatrix_index | |

CMatrixAssignChecker | |

CMatrixIndexChecker | |

CMatrixTypeInfo | |

CMCPdf | Monte Carlo Pdf: Sample based implementation of Pdf |

CMeasurementModel | |

CMixture | Class representing a mixture of PDFs, the mixture can contain different |

CMixtureBootstrapFilter | Particular mixture particle filter : Proposal PDF = SystemPDF |

CMixtureParticleFilter | Virtual Class representing all Mixture particle filters |

CMobileRobot | This is a class simulating a mobile robot |

CNonLinearAnalyticConditionalGaussian_Ginac | Conditional Gaussian for an analytic nonlinear system using Ginac: |

CNonLinearAnalyticConditionalGaussianMobile | Non Linear Conditional Gaussian |

CNonLinearAnalyticMeasurementModelGaussianUncertainty_Ginac | Class for nonlinear analytic measurementmodels with additive gaussian noise |

CNonLinearAnalyticSystemModelGaussianUncertainty_Ginac | Class for nonlinear analytic systemmodels with additive gaussian noise |

CNonlinearMeasurementPdf | Non Linear Conditional Gaussian |

CNonlinearSystemPdf | Non Linear Conditional Gaussian |

CNonminimalKalmanFilter | |

COptimalImportanceDensity | Optimal importance density for Nonlinear Gaussian SS Models |

COptimalimportancefilter | Particular particle filter: Proposal PDF = Optimal Importance function |

CParticleFilter | Virtual Class representing all particle filters |

CParticleSmoother | Class representing a particle backward filter |

CPdf | Class PDF: Virtual Base class representing Probability Density Functions |

CProbability | Class representing a probability (a double between 0 and 1) |

CProbability_ctor | |

CProbabilityTypeInfo | |

CRauchTungStriebel | Class representing all Rauch-Tung-Striebel backward filters |

Crget_size | |

Crvector_index | |

Crvector_index_constructor | |

CRVectorTypeInfo | |

CSample | |

CSample_ctor | |

CSampleTypeInfo | |

CSRIteratedExtendedKalmanFilter | |

CsymmetricMatrix_index_constructor | |

CSymmetricMatrixTypeInfo | |

CSystemModel | |

CUniform | Class representing uniform density |

Cvector_index | |

Cvector_index_constructor | |

CVectorAssignChecker | |

CVectorTypeInfo | |

CWeightedSample | |

CWeightedSample_ctor | |

CWeightedSampleTypeInfo | |

▼NMatrixWrapper | |

CColumnVector_Wrapper | Class ColumnVectorWrapper |

CMatrix_Wrapper | Class Matrixwrapper |

CRowVector_Wrapper | Class RowVectorWrapper |

CSymmetricMatrix_Wrapper | Class SymmetricMatrixWrapper |

CComplete_FilterTest | |

CMatrixwrapperTest | |

CModelTest | |

CModelTestGinac | |

CMyType | |

CPdfTest | |

CSampleTest | |

CSmootherTest |

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 Jun 10 2019 12:48:02

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 Jun 10 2019 12:48:02