gtsam 4.1.1
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gtsam::noiseModel::mEstimator::Cauchy Class Reference

Detailed Description

Cauchy implements the "Cauchy" robust error model (Lee2013IROS).

Contributed by: Dipl.-Inform. Jan Oberlaender (M.Sc.), FZI Research Center for Information Technology, Karlsruhe, Germany. oberl.nosp@m.aend.nosp@m.er@fz.nosp@m.i.de Thanks Jan!

+ Inheritance diagram for gtsam::noiseModel::mEstimator::Cauchy:

Public Member Functions

 Cauchy (double k=0.1, const ReweightScheme reweight=Block)
 
double weight (double distance) const override
 
double loss (double distance) const override
 
void print (const std::string &s) const override
 
bool equals (const Base &expected, double tol=1e-8) const override
 
- Public Member Functions inherited from gtsam::noiseModel::mEstimator::Base
 Base (const ReweightScheme reweight=Block)
 
virtual double loss (double distance) const
 
virtual double weight (double distance) const =0
 
virtual void print (const std::string &s) const =0
 
virtual bool equals (const Base &expected, double tol=1e-8) const =0
 
double sqrtWeight (double distance) const
 
Vector weight (const Vector &error) const
 produce a weight vector according to an error vector and the implemented robust function
 
Vector sqrtWeight (const Vector &error) const
 square root version of the weight function
 
void reweight (Vector &error) const
 reweight block matrices and a vector according to their weight implementation
 
void reweight (std::vector< Matrix > &A, Vector &error) const
 
void reweight (Matrix &A, Vector &error) const
 
void reweight (Matrix &A1, Matrix &A2, Vector &error) const
 
void reweight (Matrix &A1, Matrix &A2, Matrix &A3, Vector &error) const
 

Static Public Member Functions

static shared_ptr Create (double k, const ReweightScheme reweight=Block)
 

Public Types

typedef boost::shared_ptr< Cauchy > shared_ptr
 
- Public Types inherited from gtsam::noiseModel::mEstimator::Base
enum  ReweightScheme { Scalar , Block }
 
typedef boost::shared_ptr< Base > shared_ptr
 

Protected Attributes

double k_
 
double ksquared_
 
- Protected Attributes inherited from gtsam::noiseModel::mEstimator::Base
ReweightScheme reweight_
 the rows can be weighted independently according to the error or uniformly with the norm of the right hand side
 

Friends

class boost::serialization::access
 Serialization function.
 

Member Function Documentation

◆ equals()

bool gtsam::noiseModel::mEstimator::Cauchy::equals ( const Base &  expected,
double  tol = 1e-8 
) const
overridevirtual

Implements gtsam::noiseModel::mEstimator::Base.

◆ loss()

double gtsam::noiseModel::mEstimator::Cauchy::loss ( double  distance) const
overridevirtual

Reimplemented from gtsam::noiseModel::mEstimator::Base.

◆ print()

void gtsam::noiseModel::mEstimator::Cauchy::print ( const std::string &  s = "") const
overridevirtual

Implements gtsam::noiseModel::mEstimator::Base.

◆ weight()

double gtsam::noiseModel::mEstimator::Cauchy::weight ( double  distance) const
overridevirtual

Implements gtsam::noiseModel::mEstimator::Base.

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