public abstract class DynamicCovariance3By3 extends DefinitionalObject implements IServiceProvider
Modifier | Constructor and Description |
---|---|
protected |
DynamicCovariance3By3()
Initializes a new instance.
|
protected |
DynamicCovariance3By3(DynamicCovariance3By3 existingInstance,
CopyContext context)
Initializes a new instance as a copy of an existing instance.
|
Modifier and Type | Method and Description |
---|---|
protected boolean |
checkForSameDefinition(DefinitionalObject other)
Checks to determine if another instance has the same definition as this instance and
returns
true if it does. |
protected abstract boolean |
checkForSameDefinition(DynamicCovariance3By3 other)
Checks to determine if another instance has the same definition as this instance and
returns
true if it does. |
protected int |
computeCurrentDefinitionHashCode()
Computes a hash code based on the current properties of this object.
|
MotionEvaluator1<Cartesian> |
getEllipsoidSizeEvaluator(Scalar sigmaFactor)
Constructs an evaluator that calculates dimensions of the ellipsoid containing the uncertainty of a position
over time.
|
MotionEvaluator1<Cartesian> |
getEllipsoidSizeEvaluator(Scalar sigmaFactor,
EvaluatorGroup group)
Constructs an evaluator that calculates dimensions of the ellipsoid containing the uncertainty of a position
over time.
|
Covariance3By3Evaluator |
getEvaluator()
Constructs an evaluator that calculates the size and orientation of the position covariance over time.
|
Covariance3By3Evaluator |
getEvaluator(Axes definedIn)
Constructs an evaluator that calculates the size and orientation of the position covariance over time.
|
abstract Covariance3By3Evaluator |
getEvaluator(Axes definedIn,
EvaluatorGroup group)
Constructs an evaluator that calculates the size and orientation of the position covariance over time.
|
abstract Covariance3By3Evaluator |
getEvaluator(EvaluatorGroup group)
Constructs an evaluator that calculates the size and orientation of the position covariance over time.
|
abstract Axes |
getOrientationAxes()
Gets the time-varying axes of the covariance ellipsoid.
|
Object |
getService(Class<?> serviceType)
Gets the service object of the specified type.
|
MotionEvaluator1<Cartesian> |
getStandardDeviationEvaluator()
Constructs an evaluator that calculates the standard deviation (or sigma) of the position variance over time.
|
MotionEvaluator1<Cartesian> |
getStandardDeviationEvaluator(EvaluatorGroup group)
Constructs an evaluator that calculates the standard deviation (or sigma) of the position variance over time.
|
areSameDefinition, areSameDefinition, areSameDefinition, areSameDefinition, areSameDefinition, clone, collectionItemsAreSameDefinition, collectionItemsAreSameDefinition, collectionItemsAreSameDefinition, dictionaryItemsAreSameDefinition, enumerateDependencies, freeze, freezeAggregatedObjects, getCollectionHashCode, getCollectionHashCode, getCollectionHashCode, getDefinitionHashCode, getDefinitionHashCode, getDefinitionHashCode, getDefinitionHashCode, getDefinitionHashCode, getDefinitionHashCode, getDictionaryHashCode, getIsFrozen, isSameDefinition, throwIfFrozen
protected DynamicCovariance3By3()
protected DynamicCovariance3By3(@Nonnull DynamicCovariance3By3 existingInstance, @Nonnull CopyContext context)
See ICloneWithContext.clone(CopyContext)
for more information about how to implement this constructor
in a derived class.
existingInstance
- The existing instance to copy.context
- A CopyContext
that controls the depth of the copy.ArgumentNullException
- Thrown when existingInstance
or context
is null
.protected final boolean checkForSameDefinition(DefinitionalObject other)
true
if it does. Derived classes MUST override this method and check
all new fields introduced by the derived class for definitional equivalence. It is NOT necessary
to check base class fields because the base class will already have done that. When overriding this method,
you should NOT call the base implementation because it will return false
for all derived-class instances.
Derived classes should check the type of other
to preserve the symmetric nature of IEquatableDefinition.isSameDefinition(java.lang.Object)
.checkForSameDefinition
in class DefinitionalObject
other
- The other instance to compare to this one.true
if the two objects are defined equivalently; otherwise false
.protected abstract boolean checkForSameDefinition(DynamicCovariance3By3 other)
true
if it does. Derived classes MUST override this method and check
all new fields introduced by the derived class for definitional equivalence. It is NOT necessary
to check base class fields because the base class will already have done that. When overriding this method,
you should NOT call the base implementation because it will return false
for all derived-class instances.
Derived classes should check the type of other
to preserve the symmetric nature of IEquatableDefinition.isSameDefinition(java.lang.Object)
.other
- The other instance to compare to this one.true
if the two objects are defined equivalently; otherwise false
.protected int computeCurrentDefinitionHashCode()
DynamicCovariance3By3.checkForSameDefinition(agi.foundation.infrastructure.DefinitionalObject)
method.computeCurrentDefinitionHashCode
in class DefinitionalObject
@Nullable public Object getService(@Nonnull Class<?> serviceType)
getService
in interface IServiceProvider
serviceType
- An object that specifies the type of service object to get.null
if the service does not exist.ArgumentNullException
- Thrown when serviceType
is null
.@Nonnull public final Covariance3By3Evaluator getEvaluator(@Nonnull Axes definedIn)
definedIn
- The reference axes the results will be defined in. The evaluated
Covariance3By3SizeAndOrientation's
Rotation
(get
) property is the rotation from
the OrientationAxes
(get
) to this axes.@Nonnull public abstract Covariance3By3Evaluator getEvaluator(@Nonnull Axes definedIn, @Nonnull EvaluatorGroup group)
definedIn
- The reference axes the results will be defined in. The evaluated
Covariance3By3SizeAndOrientation's
Rotation
(get
) property is the rotation from
the OrientationAxes
(get
) to this axes.group
- The evaluator group in which to create the evaluator.@Nonnull public final Covariance3By3Evaluator getEvaluator()
@Nonnull public abstract Covariance3By3Evaluator getEvaluator(@Nonnull EvaluatorGroup group)
group
- The evaluator group in which to create the evaluator.public abstract Axes getOrientationAxes()
@Nonnull public final MotionEvaluator1<Cartesian> getStandardDeviationEvaluator()
Constructs an evaluator that calculates the standard deviation (or sigma) of the position variance over time.
These sigmas correspond to the OrientationAxes
(get
).
This is equivalent to calling DynamicCovariance3By3.getEllipsoidSizeEvaluator(Scalar)
with a sigma factor of 1.0.
@Nonnull public final MotionEvaluator1<Cartesian> getStandardDeviationEvaluator(@Nonnull EvaluatorGroup group)
Constructs an evaluator that calculates the standard deviation (or sigma) of the position variance over time.
These sigmas correspond to the OrientationAxes
(get
).
This is equivalent to calling DynamicCovariance3By3.getEllipsoidSizeEvaluator(Scalar,EvaluatorGroup)
with a sigma factor of 1.0.
group
- The evaluator group in which to create the evaluator.@Nonnull public final MotionEvaluator1<Cartesian> getEllipsoidSizeEvaluator(@Nonnull Scalar sigmaFactor)
Constructs an evaluator that calculates dimensions of the ellipsoid containing the uncertainty of a position
over time. This is created from the standard deviation (or sigma) of the position variance over time, as well as the given
Scalar
factor of how many standard deviations of uncertainty to use.
These sigmas correspond to the OrientationAxes
(get
).
sigmaFactor
- The number of standard deviations to use to determine the ellipsoid dimensions.
Use GaussianStatistics.multiDimensionalStandardDeviationFactor(int, double)
to determine the factor necessary
for the desired confidence interval.@Nonnull public final MotionEvaluator1<Cartesian> getEllipsoidSizeEvaluator(@Nonnull Scalar sigmaFactor, @Nonnull EvaluatorGroup group)
Constructs an evaluator that calculates dimensions of the ellipsoid containing the uncertainty of a position
over time. This is created from the standard deviation (or sigma) of the position variance over time, as well as the given
Scalar
factor of how many standard deviations of uncertainty to use.
These sigmas correspond to the OrientationAxes
(get
).
sigmaFactor
- The number of standard deviations to use to determine the ellipsoid dimensions.
Use GaussianStatistics.multiDimensionalStandardDeviationFactor(int, double)
to determine the factor necessary
for the desired confidence interval.group
- The evaluator group in which to create the evaluator.