Class Hierarchy

Go to the graphical class hierarchy

This inheritance list is sorted roughly, but not completely, alphabetically:

[detail level 1234567]

▼Cbfl::Agent
Cbfl::SimulatedStateModel
Cbfl::any::any	The class any describes a type-safe container for single values of any type
▼Cbad_cast
Cbfl::any::bad_any_cast	Defines a type of object to be thrown by the value-returning forms of blf::any::any_cast on failure
Cbfl::utils::CpuTimer< timetype >	This template class provides methods to keep track of time
Cbfl::EstimatesExtraction
▼Cbfl::ExogenousProcess
Cbfl::ExogenousModel
▼Cbfl::Filter
▼Cbfl::FilteringAlgorithm
Cbfl::GaussianFilter
▼Cbfl::ParticleFilter
Cbfl::SIS
▼Cbfl::GaussianCorrection
Cbfl::KFCorrection
Cbfl::SUKFCorrection	This class implements the algorithm: Barfoot, T., McManus, C
Cbfl::UKFCorrection
Cbfl::GaussianInitialization
▼Cbfl::GaussianMixture
Cbfl::Gaussian
Cbfl::ParticleSet
▼Cbfl::GaussianMixturePrediction
▼Cbfl::GaussianPrediction
Cbfl::KFPrediction
Cbfl::UKFPrediction
Cbfl::HistoryBuffer
Cbfl::WhiteNoiseAcceleration::ImplData
Cbfl::TimeDecreasingDynamics::ImplData
▼Cbfl::LikelihoodModel
Cbfl::GaussianLikelihood
▼Cbfl::Logger
Cbfl::FilteringAlgorithm
▼Cbfl::MeasurementModel	This class represent a generic measurement model f(x, w), where x is a state vector and w is random noise
▼Cbfl::AdditiveMeasurementModel	This class represent an additive measurement model f(x) + w, where x is a state vector and w is random noise
▼Cbfl::LinearMeasurementModel	This class represent an linear measurement model Hx + w, where H is a time-variant measurement matrix, x is a state vector and w is random noise
▼Cbfl::LTIMeasurementModel	This class represent an linear measurement model Hx + w, where H is a time-invariant measurement matrix, x is a state vector and w is random noise
▼Cbfl::LinearModel
Cbfl::SimulatedLinearSensor
Cbfl::MeasurementModelDecorator
Cbfl::SimulatedStateModel
▼Cbfl::ParticleSetInitialization
Cbfl::InitSurveillanceAreaGrid
▼Cbfl::PFCorrection
Cbfl::BootstrapCorrection
Cbfl::GPFCorrection
▼Cbfl::PFPrediction
Cbfl::DrawParticles
Cbfl::GPFPrediction
▼Cbfl::any::any::placeholder
Cbfl::any::any::holder< ValueType >
▼Cbfl::Resampling
Cbfl::ResamplingWithPrior
▼Cbfl::Skipper
Cbfl::FilteringAlgorithm
▼Cbfl::Skippable
Cbfl::ExogenousModel
Cbfl::GaussianPrediction
▼Cbfl::StateModel
▼Cbfl::AdditiveStateModel
▼Cbfl::LinearStateModel
Cbfl::LTIStateModel
Cbfl::WhiteNoiseAcceleration
▼CStateModelDecorator
Cbfl::TimeDecreasingDynamics
▼Cbfl::StateProcess
Cbfl::StateModel
Cbfl::sigma_point::UTWeight
Cbfl::VectorDescription