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gtsam::NoiseModelFactorT< OutputVec, ValueTypes > Class Template Referenceabstract

Detailed Description

template<class OutputVec, class... ValueTypes>
class gtsam::NoiseModelFactorT< OutputVec, ValueTypes >

A convenient base class for creating your own NoiseModelFactor with n variables.

To derive from this class, implement evaluateError().

For example, a 2-way factor that computes the difference in x-translation between a Pose3 and Point3 could be implemented like so:

class MyFactor : public NoiseModelFactorT<Vector, Pose3, Point3> {
public:
MyFactor(Key pose_key, Key point_key, const SharedNoiseModel& noiseModel)
: Base(noiseModel, pose_key, point_key) {}
Vector evaluateError(
const Pose3& T, const Point3& p,
OptionalMatrixType H_p = OptionalNone) const override {
Matrix36 t_H_T; // partial derivative of translation w.r.t. pose T
// Only compute t_H_T if needed:
Point3 t = T.translation(H_T ? &t_H_T : 0);
double a = t(0); // a_H_t = [1, 0, 0]
double b = p(0); // b_H_p = [1, 0, 0]
double error = a - b; // H_a = 1, H_b = -1
// H_T = H_a * a_H_t * t_H_T = the first row of t_H_T
if (H_T) *H_T = (Matrix(1, 6) << t_H_T.row(0)).finished();
// H_p = H_b * b_H_p = -1 * [1, 0, 0]
if (H_p) *H_p = Matrix{{-1., 0., 0.}};
return Vector1(error);
}
};
// Unit Test
TEST(NonlinearFactor, MyFactor) {
MyFactor f(X(1), X(2), noiseModel::Unit::Create(1));
EXPECT_DOUBLES_EQUAL(-8., f.evaluateError(Pose3(), Point3(8., 7., 6.))(0),
1e-9);
Values values;
values.insert(X(1), Pose3(Rot3::RzRyRx(0.1, 0.2, 0.3), Point3(1, 2, 3)));
values.insert(X(2), Point3(1, 2, 3));
EXPECT_CORRECT_FACTOR_JACOBIANS(f, values, 1e-5, 1e-5);
}
#define EXPECT_CORRECT_FACTOR_JACOBIANS(factor, values, numerical_derivative_step, tolerance)
Check the Jacobians produced by a factor against finite differences.
Definition factorTesting.h:113
#define OptionalNone
These typedefs and aliases will help with making the evaluateError interface independent of boost TOD...
Definition NonlinearFactor.h:51
Matrix * OptionalMatrixType
This typedef will be used everywhere boost::optional<Matrix&> reference was used previously.
Definition NonlinearFactor.h:57
Vector3 Point3
As of GTSAM 4, in order to make GTSAM more lean, it is now possible to just typedef Point3 to Vector3...
Definition Point3.h:38
noiseModel::Base::shared_ptr SharedNoiseModel
Aliases.
Definition NoiseModel.h:846
std::uint64_t Key
Integer nonlinear key type.
Definition types.h:43
A 3D pose (R,t) : (Rot3,Point3).
Definition Pose3.h:42
static Rot3 RzRyRx(double x, double y, double z, OptionalJacobian< 3, 1 > Hx={}, OptionalJacobian< 3, 1 > Hy={}, OptionalJacobian< 3, 1 > Hz={})
Rotations around Z, Y, then X axes as in http://en.wikipedia.org/wiki/Rotation_matrix,...
Definition Rot3M.cpp:101
static shared_ptr Create(size_t dim)
Create a unit covariance noise model.
Definition NoiseModel.h:673
NoiseModelFactorT()
Default Constructor for I/O.
Definition NoiseModelFactorN.h:257
virtual OutputVec evaluateError(const ValueTypes &... x, OptionalMatrixTypeT< ValueTypes >... H) const =0
Override evaluateError to finish implementing an n-way factor.
NonlinearFactor()
Default constructor for I/O only.
Definition NonlinearFactor.h:86
double error(const Values &c) const override
Calculate the error of the factor.
Definition NonlinearFactor.cpp:146
const SharedNoiseModel & noiseModel() const
access to the noise model
Definition NonlinearFactor.h:258

These factors are templated on a values structure type. The values structures are typically more general than just vectors, e.g., Rot3 or Pose3, which are objects in non-linear manifolds (Lie groups).

Template Parameters
OutputVecThe error-vector type. A fixed-size vector enables automatic fixed-size Jacobian-factor linearization for any fixed-size arity; Vector retains generic linearization.
ValueTypesThe types of the variables connected to this factor, e.g., Pose3, Point3.
Inheritance diagram for gtsam::NoiseModelFactorT< OutputVec, ValueTypes >:

NoiseModelFactor methods

std::shared_ptr< GaussianFactor > linearize (const Values &values) const override
 Linearize factors whose error and argument dimensions are all fixed to an arbitrary-arity FixedJacobianFactor.
Vector unwhitenedError (const Values &x, OptionalMatrixVecType H=nullptr) const override
 This implements the unwhitenedError virtual function by calling the n-key specific version of evaluateError, which is pure virtual so must be implemented in the derived class.

Public Member Functions

template<int I = 1>
Key key () const
 Returns a key.
Vector unwhitenedError (const Values &x, std::vector< Matrix > &H) const
 support taking in the actual vector instead of the pointer as well to get access to this version of the function from derived classes one will need to use the "using" keyword and specify that like this: public: using NoiseModelFactor::unwhitenedError;
Constructors
 NoiseModelFactorT ()
 Default Constructor for I/O.
 NoiseModelFactorT (const SharedNoiseModel &noiseModel, KeyType< ValueTypes >... keys)
 Constructor.
template<typename CONTAINER = std::initializer_list<Key>, typename = IsContainerOfKeys<CONTAINER>>
 NoiseModelFactorT (const SharedNoiseModel &noiseModel, CONTAINER keys)
 Constructor.
Virtual methods
virtual OutputVec evaluateError (const ValueTypes &... x, OptionalMatrixTypeT< ValueTypes >... H) const =0
 Override evaluateError to finish implementing an n-way factor.
Vector evaluateError (const ValueTypes &... x, MatrixTypeT< ValueTypes > &... H) const
 If all the optional arguments are matrices then redirect the call to the one which takes pointers.
Convenience method overloads
Vector evaluateError (const ValueTypes &... x) const
 No-Jacobians requested function overload.
template<typename... OptionalJacArgs, typename = IndexIsValid<sizeof...(OptionalJacArgs) + 1>>
AreAllMatrixRefs< Vector, OptionalJacArgs... > evaluateError (const ValueTypes &... x, OptionalJacArgs &&... H) const
 Some (but not all) optional Jacobians are omitted (function overload) and the jacobians are l-value references to matrices.
template<typename... OptionalJacArgs, typename = IndexIsValid<sizeof...(OptionalJacArgs) + 1>>
AreAllMatrixPtrs< Vector, OptionalJacArgs... > evaluateError (const ValueTypes &... x, OptionalJacArgs &&... H) const
 Some (but not all) optional Jacobians are omitted (function overload) and the jacobians are pointers to matrices.
Shortcut functions <tt>key1()</tt> -> <tt>key\<1\>()</tt>
Key key1 () const
template<int I = 2>
Key key2 () const
template<int I = 3>
Key key3 () const
template<int I = 4>
Key key4 () const
template<int I = 5>
Key key5 () const
template<int I = 6>
Key key6 () const
Public Member Functions inherited from gtsam::NoiseModelFactor
 NoiseModelFactor ()
 Default constructor for I/O only.
 ~NoiseModelFactor () override
 Destructor.
template<typename CONTAINER>
 NoiseModelFactor (const SharedNoiseModel &noiseModel, const CONTAINER &keys)
 Constructor.
void print (const std::string &s="", const KeyFormatter &keyFormatter=DefaultKeyFormatter) const override
 Print.
bool equals (const NonlinearFactor &f, double tol=1e-9) const override
 Check if two factors are equal.
size_t dim () const override
 get the dimension of the factor (number of rows on linearization)
const SharedNoiseModel & noiseModel () const
 access to the noise model
Vector unwhitenedError (const Values &x, std::vector< Matrix > &H) const
 support taking in the actual vector instead of the pointer as well to get access to this version of the function from derived classes one will need to use the "using" keyword and specify that like this: public: using NoiseModelFactor::unwhitenedError;
Vector whitenedError (const Values &c) const
 Vector of errors, whitened This is the raw error, i.e., i.e.
Vector unweightedWhitenedError (const Values &c) const
 Vector of errors, whitened, but unweighted by any loss function.
double weight (const Values &c) const
 Compute the effective weight of the factor from the noise model.
double error (const Values &c) const override
 Calculate the error of the factor.
shared_ptr cloneWithNewNoiseModel (const SharedNoiseModel newNoise) const
 Creates a shared_ptr clone of the factor with a new noise model.
double error (const HybridValues &c) const override
 All factor types need to implement an error function.
 NonlinearFactor ()
 Default constructor for I/O only.
template<typename CONTAINER>
 NonlinearFactor (const CONTAINER &keys)
 Constructor from a collection of the keys involved in this factor.
void print (const std::string &s="", const KeyFormatter &keyFormatter=DefaultKeyFormatter) const override
 print
double error (const HybridValues &c) const override
 All factor types need to implement an error function.
virtual bool active (const Values &c) const
 Checks whether a factor should be used based on a set of values.
virtual void qcqpFactors (NonlinearFactorGraph *costs, NonlinearEqualityConstraints *constraints, size_t columnDimension=1) const
 Add this factor's QCQP cost and constraints over matrix-valued QCQP variables with the given column dimension.
virtual shared_ptr clone () const
 Creates a shared_ptr clone of the factor - needs to be specialized to allow for subclasses.
virtual shared_ptr rekey (const std::map< Key, Key > &rekey_mapping) const
 Creates a shared_ptr clone of the factor with different keys using a map from old->new keys.
virtual shared_ptr rekey (const KeyVector &new_keys) const
 Clones a factor and fully replaces its keys.
virtual bool sendable () const
 Should the factor be evaluated in the same thread as the caller This is to enable factors that has shared states (like the Python GIL lock).
Public Member Functions inherited from gtsam::Factor
virtual ~Factor ()=default
 Default destructor.
bool empty () const
 Whether the factor is empty (involves zero variables).
Key front () const
 First key.
Key back () const
 Last key.
const_iterator find (Key key) const
 find
const KeyVector & keys () const
 Access the factor's involved variable keys.
const_iterator begin () const
 Iterator at beginning of involved variable keys.
const_iterator end () const
 Iterator at end of involved variable keys.
size_t size () const
virtual void printKeys (const std::string &s="Factor", const KeyFormatter &formatter=DefaultKeyFormatter) const
 print only keys
bool equals (const This &other, double tol=1e-9) const
 check equality
KeyVector & keys ()
iterator begin ()
 Iterator at beginning of involved variable keys.
iterator end ()
 Iterator at end of involved variable keys.

Static Public Attributes

static constexpr auto N = sizeof...(ValueTypes)
 N is the number of variables (N-way factor).

Public Types

template<int I, typename = IndexIsValid<I>>
using ValueType
 The type of the I'th template param can be obtained as ValueType.
Public Types inherited from gtsam::NoiseModelFactor
typedef std::shared_ptr< This > shared_ptr
 Noise model.
Public Types inherited from gtsam::NonlinearFactor
typedef std::shared_ptr< This > shared_ptr
Public Types inherited from gtsam::Factor
typedef KeyVector::iterator iterator
 Iterator over keys.
typedef KeyVector::const_iterator const_iterator
 Const iterator over keys.

Protected Types

using Base = NoiseModelFactor
using This = NoiseModelFactorT<OutputVec, ValueTypes...>
template<typename T = void>
using OptionalMatrixTypeT = Matrix*
template<typename T>
using KeyType = Key
template<typename T = void>
using MatrixTypeT = Matrix
SFINAE aliases
template<typename From, typename To>
using IsConvertible
template<int I>
using IndexIsValid
template<typename Container>
using ContainerElementType
template<typename Container>
using IsContainerOfKeys = IsConvertible<ContainerElementType<Container>, Key>
template<typename Ret, typename... Args>
using AreAllMatrixRefs
 A helper alias to check if a list of args are all references to a matrix or not.
template<typename Arg>
using IsMatrixPointer = std::is_same<typename std::decay_t<Arg>, Matrix*>
template<typename Arg>
using IsNullpointer
template<typename Ret, typename... Args>
using AreAllMatrixPtrs
 A helper alias to check if a list of args are all pointers to a matrix or not.
Protected Types inherited from gtsam::NoiseModelFactor
typedef NonlinearFactor Base
typedef NoiseModelFactor This
Protected Types inherited from gtsam::NonlinearFactor
typedef Factor Base
typedef NonlinearFactor This

Additional Inherited Members

Protected Member Functions inherited from gtsam::NoiseModelFactor
 NoiseModelFactor (const SharedNoiseModel &noiseModel)
 Constructor - only for subclasses, as this does not set keys.
 Factor ()
 Default constructor for I/O.
template<typename CONTAINER>
 Factor (const CONTAINER &keys)
 Construct factor from container of keys.
template<typename ITERATOR>
 Factor (ITERATOR first, ITERATOR last)
 Construct factor from iterator keys.
template<typename CONTAINER>
static Factor FromKeys (const CONTAINER &keys)
 Construct factor from container of keys.
template<typename ITERATOR>
static Factor FromIterators (ITERATOR first, ITERATOR last)
 Construct factor from iterator keys.
Protected Attributes inherited from gtsam::NoiseModelFactor
SharedNoiseModel noiseModel_
Protected Attributes inherited from gtsam::Factor
KeyVector keys_
 The keys involved in this factor.

Member Typedef Documentation

◆ AreAllMatrixPtrs

template<class OutputVec, class... ValueTypes>
template<typename Ret, typename... Args>
using gtsam::NoiseModelFactorT< OutputVec, ValueTypes >::AreAllMatrixPtrs
protected
Initial value:
std::enable_if_t<(... && (IsMatrixPointer<Args>::value ||
IsNullpointer<Args>::value)),
Ret>

A helper alias to check if a list of args are all pointers to a matrix or not.

It will be used to choose the right overload of evaluateError.

◆ AreAllMatrixRefs

template<class OutputVec, class... ValueTypes>
template<typename Ret, typename... Args>
using gtsam::NoiseModelFactorT< OutputVec, ValueTypes >::AreAllMatrixRefs
protected
Initial value:
std::enable_if_t<(... && std::is_convertible<Args, Matrix&>::value), Ret>

A helper alias to check if a list of args are all references to a matrix or not.

It will be used to choose the right overload of evaluateError.

◆ ContainerElementType

template<class OutputVec, class... ValueTypes>
template<typename Container>
using gtsam::NoiseModelFactorT< OutputVec, ValueTypes >::ContainerElementType
protected
Initial value:
typename std::decay<decltype(*std::declval<Container>().begin())>::type

◆ IndexIsValid

template<class OutputVec, class... ValueTypes>
template<int I>
using gtsam::NoiseModelFactorT< OutputVec, ValueTypes >::IndexIsValid
protected
Initial value:
typename std::enable_if<(I >= 1) && (I <= N),
void>::type
static constexpr auto N
N is the number of variables (N-way factor).
Definition NoiseModelFactorN.h:158

◆ IsConvertible

template<class OutputVec, class... ValueTypes>
template<typename From, typename To>
using gtsam::NoiseModelFactorT< OutputVec, ValueTypes >::IsConvertible
protected
Initial value:
typename std::enable_if<std::is_convertible<From, To>::value, void>::type

◆ IsNullpointer

template<class OutputVec, class... ValueTypes>
template<typename Arg>
using gtsam::NoiseModelFactorT< OutputVec, ValueTypes >::IsNullpointer
protected
Initial value:
std::is_same<typename std::decay_t<Arg>, std::nullptr_t>

◆ ValueType

template<class OutputVec, class... ValueTypes>
template<int I, typename = IndexIsValid<I>>
using gtsam::NoiseModelFactorT< OutputVec, ValueTypes >::ValueType
Initial value:
typename std::tuple_element<I - 1, std::tuple<ValueTypes...>>::type

The type of the I'th template param can be obtained as ValueType.

I is 1-indexed for backwards compatibility/consistency! So for example,

Factor::ValueType<1> // Pose3
Factor::ValueType<2> // Point3
// Factor::ValueType<0> // ERROR! Will not compile.
// Factor::ValueType<3> // ERROR! Will not compile.
Definition Factor.h:71

You can also use the shortcuts X1, ..., X6 which are the same as ValueType<1>, ..., ValueType<6> respectively (see detail::NoiseModelFactorAliases).

Note that, if your class is templated AND you want to use ValueType<1> inside your class, due to dependent types you need the template keyword: typename MyFactor<T>::template ValueType<1>.

Constructor & Destructor Documentation

◆ NoiseModelFactorT() [1/2]

template<class OutputVec, class... ValueTypes>
gtsam::NoiseModelFactorT< OutputVec, ValueTypes >::NoiseModelFactorT ( const SharedNoiseModel & noiseModel,
KeyType< ValueTypes >... keys )
inline

Constructor.

Example usage: NoiseModelFactorT(noise, key1, key2, ..., keyN)

Parameters
noiseModelShared pointer to noise model.
keysKeys for the variables in this factor, passed in as separate arguments.

◆ NoiseModelFactorT() [2/2]

template<class OutputVec, class... ValueTypes>
template<typename CONTAINER = std::initializer_list<Key>, typename = IsContainerOfKeys<CONTAINER>>
gtsam::NoiseModelFactorT< OutputVec, ValueTypes >::NoiseModelFactorT ( const SharedNoiseModel & noiseModel,
CONTAINER keys )
inline

Constructor.

Example usage: NoiseModelFactorT(noise, {key1, key2, ..., keyN}) Example usage: NoiseModelFactorT(noise, keys) where keys is a vector<Key>

Parameters
noiseModelShared pointer to noise model.
keysA container of keys for the variables in this factor.

Member Function Documentation

◆ evaluateError() [1/5]

template<class OutputVec, class... ValueTypes>
Vector gtsam::NoiseModelFactorT< OutputVec, ValueTypes >::evaluateError ( const ValueTypes &... x) const
inline

No-Jacobians requested function overload.

This specializes the version below to avoid recursive calls since this is commonly used.

e.g. const Vector error = factor.evaluateError(pose, point);

◆ evaluateError() [2/5]

template<class OutputVec, class... ValueTypes>
Vector gtsam::NoiseModelFactorT< OutputVec, ValueTypes >::evaluateError ( const ValueTypes &... x,
MatrixTypeT< ValueTypes > &... H ) const
inline

If all the optional arguments are matrices then redirect the call to the one which takes pointers.

To get access to this version of the function from derived classes one will need to use the "using" keyword and specify that like this: public: using NoiseModelFactorT<list the value types here>::evaluateError;

◆ evaluateError() [3/5]

template<class OutputVec, class... ValueTypes>
template<typename... OptionalJacArgs, typename = IndexIsValid<sizeof...(OptionalJacArgs) + 1>>
AreAllMatrixPtrs< Vector, OptionalJacArgs... > gtsam::NoiseModelFactorT< OutputVec, ValueTypes >::evaluateError ( const ValueTypes &... x,
OptionalJacArgs &&... H ) const
inline

Some (but not all) optional Jacobians are omitted (function overload) and the jacobians are pointers to matrices.

e.g. const Vector error = factor.evaluateError(pose, point, &Hpose);

◆ evaluateError() [4/5]

template<class OutputVec, class... ValueTypes>
template<typename... OptionalJacArgs, typename = IndexIsValid<sizeof...(OptionalJacArgs) + 1>>
AreAllMatrixRefs< Vector, OptionalJacArgs... > gtsam::NoiseModelFactorT< OutputVec, ValueTypes >::evaluateError ( const ValueTypes &... x,
OptionalJacArgs &&... H ) const
inline

Some (but not all) optional Jacobians are omitted (function overload) and the jacobians are l-value references to matrices.

e.g. const Vector error = factor.evaluateError(pose, point, Hpose);

◆ evaluateError() [5/5]

template<class OutputVec, class... ValueTypes>
virtual OutputVec gtsam::NoiseModelFactorT< OutputVec, ValueTypes >::evaluateError ( const ValueTypes &... x,
OptionalMatrixTypeT< ValueTypes >... H ) const
pure virtual

Override evaluateError to finish implementing an n-way factor.

Both the x and H arguments are written here as parameter packs, but when overriding this method, you probably want to explicitly write them out. For example, for a 2-way factor with variable types Pose3 and Point3, you should implement:

const Pose3& x1, const Point3& x2,
OptionalMatrixType H2 = OptionalNone) const override { ... }

If any of the optional Matrix reference arguments are specified, it should compute both the function evaluation and its derivative(s) in the requested variables.

Parameters
xThe values of the variables to evaluate the error for. Passed in as separate arguments.
[out]HThe Jacobian with respect to each variable (optional).

Implemented in gtsam::AHRSFactorT< PIM >, gtsam::AHRSFactorT< PreintegratedAhrsMeasurements >, gtsam::AttitudeFactor< VALUE >, gtsam::BarometricFactor, gtsam::BetweenFactor< VALUE >, gtsam::BetweenFactor< double >, gtsam::BetweenFactor< Point2 >, gtsam::BetweenFactor< Point3 >, gtsam::BetweenFactor< Pose2 >, gtsam::BetweenFactor< Pose3 >, gtsam::BetweenFactor< Rot2 >, gtsam::BetweenFactor< Rot3 >, gtsam::BetweenFactor< SL4 >, gtsam::BiasedGPSFactor, gtsam::BilinearAngleTranslationFactor, gtsam::CarrierPhaseFactor, gtsam::CarrierPhaseFactorArm, gtsam::CombinedImuFactorT< PIM >, gtsam::CombinedImuFactorT< PreintegratedCombinedMeasurementsG >, gtsam::CombinedImuFactorWithGravityT< PIM, GRAVITY >, gtsam::CombinedImuFactorWithGravityT< PreintegratedCombinedMeasurements, Point3 >, gtsam::CombinedImuFactorWithGravityT< PreintegratedCombinedMeasurements, Unit3 >, gtsam::ConstantVelocityFactor, gtsam::DeltaFactor, gtsam::DifferentialPseudorangeFactor, gtsam::DifferentialPseudorangeFactorArm, gtsam::DopplerFactor, gtsam::DoubleDifferenceCarrierPhaseFactor, gtsam::DoubleDifferenceCarrierPhaseFactorArm, gtsam::EssentialMatrixConstraint, gtsam::EssentialMatrixFactor2, gtsam::EssentialMatrixFactor4< CALIBRATION >, gtsam::EssentialMatrixFactor5< CALIBRATION >, gtsam::FrobeniusBetweenFactor< T >, gtsam::FunctorizedFactor< double, BASIS::Parameters >, gtsam::FunctorizedFactor< double, Matrix >, gtsam::FunctorizedFactor< double, typename BASIS::Parameters >, gtsam::FunctorizedFactor< double, Vector >, gtsam::FunctorizedFactor< T, Matrix >, gtsam::FunctorizedFactor< Vector, Matrix >, gtsam::GeneralSFMFactor< CAMERA, LANDMARK >, gtsam::GeneralSFMFactor< gtsam::PinholeCameraCal3_S2, gtsam::Point3 >, gtsam::GeneralSFMFactor< gtsam::PinholeCameraCal3DS2, gtsam::Point3 >, gtsam::GeneralSFMFactor< gtsam::SphericalCamera, gtsam::Point3 >, gtsam::GenericProjectionFactor< POSE, LANDMARK, CALIBRATION >, gtsam::GenericProjectionFactor< POSE, LANDMARK, CALIBRATION >, gtsam::GenericProjectionFactor< Pose3, Point3, Cal3_S2 >, gtsam::GenericProjectionFactor< Pose3, Point3, Cal3DS2 >, gtsam::GenericStereoFactor< POSE, LANDMARK >, gtsam::GenericStereoFactor< gtsam::Pose3, gtsam::Point3 >, gtsam::GPSFactor2ArmCalib, gtsam::GPSFactorArmCalib, gtsam::ImuFactor2T< PIM >, gtsam::ImuFactor2T< PIM >, gtsam::ImuFactor2T< PreintegratedImuMeasurementsG >, gtsam::ImuFactor2WithGravityT< PIM, GRAVITY >, gtsam::ImuFactor2WithGravityT< PIM, GRAVITY >, gtsam::ImuFactor2WithGravityT< PreintegratedImuMeasurements, Point3 >, gtsam::ImuFactor2WithGravityT< PreintegratedImuMeasurements, Unit3 >, gtsam::ImuFactorT< PIM >, gtsam::ImuFactorT< PIM >, gtsam::ImuFactorT< PreintegratedImuMeasurementsG >, gtsam::ImuFactorWithGravityT< PIM, GRAVITY >, gtsam::ImuFactorWithGravityT< PreintegratedImuMeasurements, Point3 >, gtsam::ImuFactorWithGravityT< PreintegratedImuMeasurements, Unit3 >, gtsam::InvDepthFactor3< POSE, LANDMARK, INVDEPTH >, gtsam::InvDepthFactorVariant1, gtsam::InvDepthFactorVariant2, gtsam::LocalOrientedPlane3Factor, gtsam::MagFactor2, gtsam::MagFactor3, gtsam::NavStatePointContactFactor, gtsam::OrientedPlane3Factor, gtsam::PlanarGyroFactor, gtsam::PlanarProjectionFactor2, gtsam::PlanarProjectionFactor3, gtsam::Pose3PointContactFactor, gtsam::PoseBetweenFactor< POSE >, gtsam::PoseToPointFactor< POSE, POINT >, gtsam::ProjectionFactorPPP< POSE, LANDMARK, CALIBRATION >, gtsam::ProjectionFactorPPP< POSE, LANDMARK, CALIBRATION >, gtsam::ProjectionFactorRollingShutter, gtsam::PseudorangeFactor, gtsam::PseudorangeFactorArm, gtsam::QuadraticRangeFactor< 2 >, gtsam::QuadraticRangeFactor< 3 >, gtsam::ReferenceFrameFactor< POINT, TRANSFORM >, gtsam::RelativeElevationFactor, gtsam::RelativeTranslationFactor< 2 >, gtsam::RelativeTranslationFactor< 3 >, and gtsam::TranslationFactor.

◆ key()

template<class OutputVec, class... ValueTypes>
template<int I = 1>
Key gtsam::NoiseModelFactorT< OutputVec, ValueTypes >::key ( ) const
inline

Returns a key.

Usage: key<I>() returns the I'th key. I is 1-indexed for backwards compatibility/consistency! So for example,

NoiseModelFactorT<Vector, Pose3, Point3> factor(noise, key1, key2);
key<1>() // = key1
key<2>() // = key2
// key<0>() // ERROR! Will not compile
// key<3>() // ERROR! Will not compile
Key key() const
Returns a key.
Definition NoiseModelFactorN.h:307

Note that, if your class is templated AND you are trying to call key<1> inside your class, due to dependent types you need the template keyword: this->key1().

◆ linearize()

template<class OutputVec, class... ValueTypes>
std::shared_ptr< GaussianFactor > gtsam::NoiseModelFactorT< OutputVec, ValueTypes >::linearize ( const Values & values) const
inlineoverridevirtual

Linearize factors whose error and argument dimensions are all fixed to an arbitrary-arity FixedJacobianFactor.

Dynamic dimensions retain the generic implementation.

Reimplemented from gtsam::NoiseModelFactor.

Reimplemented in gtsam::TriangulationFactor< CAMERA >.

◆ unwhitenedError()

template<class OutputVec, class... ValueTypes>
Vector gtsam::NoiseModelFactorT< OutputVec, ValueTypes >::unwhitenedError ( const Values & x,
OptionalMatrixVecType H = nullptr ) const
inlineoverridevirtual

This implements the unwhitenedError virtual function by calling the n-key specific version of evaluateError, which is pure virtual so must be implemented in the derived class.

Example usage:

values.insert(...) // populate values
std::vector<Matrix> Hs(2); // this will be an optional output argument
const Vector error = factor.unwhitenedError(values, Hs);
A non-templated config holding any types of Manifold-group elements.
Definition Values.h:65
void insert(Key j, const Value &val)
Add a variable with the given j, throws KeyAlreadyExists<J> if j is already present.
Definition Values.cpp:170
Parameters
[in]xA Values object containing the values of all the variables used in this factor
[out]HA vector of (dynamic) matrices whose size should be equal to n. The Jacobians w.r.t. each variable will be output in this parameter.

Implements gtsam::NoiseModelFactor.


The documentation for this class was generated from the following file: