dcsam
Factored inference for discrete-continuous smoothing and mapping
Class List
Here are the classes, structs, unions and interfaces with brief descriptions:
[detail level 12]
 Ndcsam
 CDCContinuousFactorImplementation of a discrete-continuous factor. This is used internally within the DCSAM solver. Essentially this class wraps a DCFactor (given as argument) into a continuous factor (gtsam::NonlinearFactor) that can be passed to GTSAM/iSAM/iSAM2 for continuous optimization with a fixed assignment to discrete variables
 CDCDiscreteFactorImplementation of a discrete-continuous factor. This is used internally within the DCSAM solver. Essentially this class wraps a DCFactor (given as argument) into a discrete factor (gtsam::DiscreteFactor) that can be passed to GTSAM for discrete optimization with a fixed assignment to continuous variables
 CDCEMFactorImplementation of a discrete-continuous EM factor
 CDCFactorAbstract class implementing a discrete-continuous factor
 CDCFactorGraph
 CDCMaxMixtureFactorImplementation of a discrete-continuous max-mixture factor
 CDCMixtureFactorImplementation of a discrete conditional mixture factor. Implements a joint discrete-continuous factor where the discrete variable serves to "select" a mixture component corresponding to a gtsam::NonlinearFactor type of measurement
 CDCSAM
 CDCValues
 CDCMarginals
 CDiscreteMarginalsOrderedSimple discrete marginals class allowing specific ordering
 CDiscretePriorFactorImplementation of a discrete prior factor
 CHybridFactorGraph
 CSemanticBearingRangeFactorFactor that represents bearing and range measurements that incorporate a semantic class measurement
 CSmartDiscretePriorFactorImplementation of a "smart" updateable discrete prior factor
 CSmartSemanticBearingRangeFactorImplementation of a "smart" updateable semantic bearing-range factor