Modifier and Type | Class and Description |
---|---|
class |
GaussianDistribution
A multivariate Gaussian distribution.
|
class |
GaussMixDistribution
A multivariate Gaussian mixture distribution.
|
class |
GenericDiscreteDistribution
A generic discrete distribution
|
class |
ParticleDistribution<G extends Copyable<? extends G>>
A distribution represented by weighted particles
|
class |
PoissonDistribution
Poisson distribution.
|
class |
UniformDistribution
A multivariate uniform distribution.
|
Constructor and Description |
---|
ParticleDistribution(Random rand,
SamplingDistribution<G> density,
int numParticles)
Constructor that samples
numParticles from density . |
Modifier and Type | Class and Description |
---|---|
class |
MultiTargetRBMCDA<T extends TargetID>
Rao-Blackwellized Monte Carlo Data Association following:
S. |
Modifier and Type | Class and Description |
---|---|
class |
AbstractAssociationDistribution<S extends Copyable<?>,T extends Copyable<?>>
Abstract class for association distributions that allow sampling
of the association variables for a set of observations in a multi-target tracking framework.
|
class |
AbstractMultiStateTransitionDistribution<T extends Copyable<?>>
Abstract class for multi-target state transition distributions.
|
class |
AbstractMultiStateTransitionDistributionIndep<T extends Copyable<?>>
Abstract class of multi-target state transition distribution with independent targets.
|
Modifier and Type | Class and Description |
---|---|
class |
AssociationDistribution<S extends TargetID,T extends TargetID>
Association distribution to sample association variables for a set of observations based
on a model of how observations are formed.
|
class |
AssociationDistributionNN<S extends TargetID,T extends TargetID>
Association distribution to sample association variables for a set of observations based
on a model of how observations are formed.
|
class |
MultiObsDistributionIndepGaussians<T extends Copyable<?>>
A simple multi observation density, which assumes independence of the single observations with
multivariate Gaussian noise.
|
class |
MultiObsDistributionIndepGaussMix<T extends Copyable<?>>
A simple multi observation density, which assumes independent Gaussian mixtures as the underlying distributions.
|
class |
MultiStateDistributionIndepGaussians<T extends Copyable<?>>
A simple multi state density, which assumes independence of the single states with
multivariate Gaussian noise.
|
class |
MultiStateLinTransDistributionIndepGaussians<T extends Copyable<?>>
A simple multi state-transition density, which assumes independence of the single states and
multivariate Gaussian process noise.
|
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