Public Types | Public Member Functions | Protected Member Functions | Static Protected Member Functions | Protected Attributes | Static Private Member Functions | List of all members
gtsam::IncrementalFixedLagSmoother Class Reference

#include <IncrementalFixedLagSmoother.h>

Inheritance diagram for gtsam::IncrementalFixedLagSmoother:
Inheritance graph
[legend]

Public Types

typedef std::shared_ptr< IncrementalFixedLagSmoothershared_ptr
 Typedef for a shared pointer to an Incremental Fixed-Lag Smoother. More...
 
- Public Types inherited from gtsam::FixedLagSmoother
typedef std::map< Key, double > KeyTimestampMap
 Typedef for a Key-Timestamp map/database. More...
 
typedef std::shared_ptr< FixedLagSmoothershared_ptr
 Typedef for a shared pointer to an Incremental Fixed-Lag Smoother. More...
 
typedef std::multimap< double, KeyTimestampKeyMap
 

Public Member Functions

Values calculateEstimate () const override
 
template<class VALUE >
VALUE calculateEstimate (Key key) const
 
bool equals (const FixedLagSmoother &rhs, double tol=1e-9) const override
 
const VectorValuesgetDelta () const
 
const NonlinearFactorGraphgetFactors () const
 
const ISAM2getISAM2 () const
 Get the iSAM2 object which is used for the inference internally. More...
 
const ISAM2ResultgetISAM2Result () const
 Get results of latest isam2 update. More...
 
const ValuesgetLinearizationPoint () const
 
 IncrementalFixedLagSmoother (double smootherLag=0.0, const ISAM2Params &parameters=DefaultISAM2Params())
 
Matrix marginalCovariance (Key key) const
 Calculate marginal covariance on given variable. More...
 
const ISAM2Paramsparams () const
 
void print (const std::string &s="IncrementalFixedLagSmoother:\n", const KeyFormatter &keyFormatter=DefaultKeyFormatter) const override
 
Result update (const NonlinearFactorGraph &newFactors=NonlinearFactorGraph(), const Values &newTheta=Values(), const KeyTimestampMap &timestamps=KeyTimestampMap(), const FactorIndices &factorsToRemove=FactorIndices()) override
 
 ~IncrementalFixedLagSmoother () override
 
- Public Member Functions inherited from gtsam::FixedLagSmoother
 FixedLagSmoother (double smootherLag=0.0)
 
double & smootherLag ()
 
double smootherLag () const
 
const KeyTimestampMaptimestamps () const
 
virtual ~FixedLagSmoother ()
 

Protected Member Functions

void createOrderingConstraints (const KeyVector &marginalizableKeys, std::optional< FastMap< Key, int > > &constrainedKeys) const
 
void eraseKeysBefore (double timestamp)
 
- Protected Member Functions inherited from gtsam::FixedLagSmoother
void eraseKeyTimestampMap (const KeyVector &keys)
 
KeyVector findKeysAfter (double timestamp) const
 
KeyVector findKeysBefore (double timestamp) const
 
double getCurrentTimestamp () const
 
void updateKeyTimestampMap (const KeyTimestampMap &newTimestamps)
 

Static Protected Member Functions

static ISAM2Params DefaultISAM2Params ()
 

Protected Attributes

ISAM2 isam_
 
ISAM2Result isamResult_
 
- Protected Attributes inherited from gtsam::FixedLagSmoother
KeyTimestampMap keyTimestampMap_
 
double smootherLag_
 
TimestampKeyMap timestampKeyMap_
 

Static Private Member Functions

static void PrintKeySet (const std::set< Key > &keys, const std::string &label="Keys:")
 
static void PrintSymbolicFactor (const GaussianFactor::shared_ptr &factor)
 
static void PrintSymbolicGraph (const GaussianFactorGraph &graph, const std::string &label="Factor Graph:")
 
static void PrintSymbolicTree (const gtsam::ISAM2 &isam, const std::string &label="Bayes Tree:")
 
static void PrintSymbolicTreeHelper (const gtsam::ISAM2Clique::shared_ptr &clique, const std::string indent="")
 

Detailed Description

This is a base class for the various HMF2 implementations. The HMF2 eliminates the factor graph such that the active states are placed in/near the root. This base class implements a function to calculate the ordering, and an update function to incorporate new factors into the HMF.

Definition at line 34 of file IncrementalFixedLagSmoother.h.

Member Typedef Documentation

◆ shared_ptr

Typedef for a shared pointer to an Incremental Fixed-Lag Smoother.

Definition at line 39 of file IncrementalFixedLagSmoother.h.

Constructor & Destructor Documentation

◆ IncrementalFixedLagSmoother()

gtsam::IncrementalFixedLagSmoother::IncrementalFixedLagSmoother ( double  smootherLag = 0.0,
const ISAM2Params parameters = DefaultISAM2Params() 
)
inline

default constructor

Definition at line 42 of file IncrementalFixedLagSmoother.h.

◆ ~IncrementalFixedLagSmoother()

gtsam::IncrementalFixedLagSmoother::~IncrementalFixedLagSmoother ( )
inlineoverride

destructor

Definition at line 48 of file IncrementalFixedLagSmoother.h.

Member Function Documentation

◆ calculateEstimate() [1/2]

Values gtsam::IncrementalFixedLagSmoother::calculateEstimate ( ) const
inlineoverridevirtual

Compute an estimate from the incomplete linear delta computed during the last update. This delta is incomplete because it was not updated below wildfire_threshold. If only a single variable is needed, it is faster to call calculateEstimate(const KEY&).

Implements gtsam::FixedLagSmoother.

Definition at line 74 of file IncrementalFixedLagSmoother.h.

◆ calculateEstimate() [2/2]

template<class VALUE >
VALUE gtsam::IncrementalFixedLagSmoother::calculateEstimate ( Key  key) const
inline

Compute an estimate for a single variable using its incomplete linear delta computed during the last update. This is faster than calling the no-argument version of calculateEstimate, which operates on all variables.

Parameters
key
Returns

Definition at line 85 of file IncrementalFixedLagSmoother.h.

◆ createOrderingConstraints()

void gtsam::IncrementalFixedLagSmoother::createOrderingConstraints ( const KeyVector marginalizableKeys,
std::optional< FastMap< Key, int > > &  constrainedKeys 
) const
protected

Fill in an iSAM2 ConstrainedKeys structure such that the provided keys are eliminated before all others

Definition at line 176 of file IncrementalFixedLagSmoother.cpp.

◆ DefaultISAM2Params()

static ISAM2Params gtsam::IncrementalFixedLagSmoother::DefaultISAM2Params ( )
inlinestaticprotected

Create default parameters

Definition at line 123 of file IncrementalFixedLagSmoother.h.

◆ equals()

bool gtsam::IncrementalFixedLagSmoother::equals ( const FixedLagSmoother rhs,
double  tol = 1e-9 
) const
overridevirtual

Check if two IncrementalFixedLagSmoother Objects are equal

Reimplemented from gtsam::FixedLagSmoother.

Definition at line 57 of file IncrementalFixedLagSmoother.cpp.

◆ eraseKeysBefore()

void gtsam::IncrementalFixedLagSmoother::eraseKeysBefore ( double  timestamp)
protected

Erase any keys associated with timestamps before the provided time

Definition at line 166 of file IncrementalFixedLagSmoother.cpp.

◆ getDelta()

const VectorValues& gtsam::IncrementalFixedLagSmoother::getDelta ( ) const
inline

Access the current set of deltas to the linearization point

Definition at line 105 of file IncrementalFixedLagSmoother.h.

◆ getFactors()

const NonlinearFactorGraph& gtsam::IncrementalFixedLagSmoother::getFactors ( ) const
inline

Access the current set of factors

Definition at line 95 of file IncrementalFixedLagSmoother.h.

◆ getISAM2()

const ISAM2& gtsam::IncrementalFixedLagSmoother::getISAM2 ( ) const
inline

Get the iSAM2 object which is used for the inference internally.

Definition at line 118 of file IncrementalFixedLagSmoother.h.

◆ getISAM2Result()

const ISAM2Result& gtsam::IncrementalFixedLagSmoother::getISAM2Result ( ) const
inline

Get results of latest isam2 update.

Definition at line 115 of file IncrementalFixedLagSmoother.h.

◆ getLinearizationPoint()

const Values& gtsam::IncrementalFixedLagSmoother::getLinearizationPoint ( ) const
inline

Access the current linearization point

Definition at line 100 of file IncrementalFixedLagSmoother.h.

◆ marginalCovariance()

Matrix gtsam::IncrementalFixedLagSmoother::marginalCovariance ( Key  key) const
inline

Calculate marginal covariance on given variable.

Definition at line 110 of file IncrementalFixedLagSmoother.h.

◆ params()

const ISAM2Params& gtsam::IncrementalFixedLagSmoother::params ( ) const
inline

return the current set of iSAM2 parameters

Definition at line 90 of file IncrementalFixedLagSmoother.h.

◆ print()

void gtsam::IncrementalFixedLagSmoother::print ( const std::string &  s = "IncrementalFixedLagSmoother:\n",
const KeyFormatter keyFormatter = DefaultKeyFormatter 
) const
overridevirtual

Print the factor for debugging and testing (implementing Testable)

Reimplemented from gtsam::FixedLagSmoother.

Definition at line 50 of file IncrementalFixedLagSmoother.cpp.

◆ PrintKeySet()

void gtsam::IncrementalFixedLagSmoother::PrintKeySet ( const std::set< Key > &  keys,
const std::string &  label = "Keys:" 
)
staticprivate

Private methods for printing debug information

Definition at line 194 of file IncrementalFixedLagSmoother.cpp.

◆ PrintSymbolicFactor()

void gtsam::IncrementalFixedLagSmoother::PrintSymbolicFactor ( const GaussianFactor::shared_ptr factor)
staticprivate

Definition at line 204 of file IncrementalFixedLagSmoother.cpp.

◆ PrintSymbolicGraph()

void gtsam::IncrementalFixedLagSmoother::PrintSymbolicGraph ( const GaussianFactorGraph graph,
const std::string &  label = "Factor Graph:" 
)
staticprivate

Definition at line 214 of file IncrementalFixedLagSmoother.cpp.

◆ PrintSymbolicTree()

void gtsam::IncrementalFixedLagSmoother::PrintSymbolicTree ( const gtsam::ISAM2 isam,
const std::string &  label = "Bayes Tree:" 
)
staticprivate

Definition at line 223 of file IncrementalFixedLagSmoother.cpp.

◆ PrintSymbolicTreeHelper()

void gtsam::IncrementalFixedLagSmoother::PrintSymbolicTreeHelper ( const gtsam::ISAM2Clique::shared_ptr clique,
const std::string  indent = "" 
)
staticprivate

Definition at line 235 of file IncrementalFixedLagSmoother.cpp.

◆ update()

FixedLagSmoother::Result gtsam::IncrementalFixedLagSmoother::update ( const NonlinearFactorGraph newFactors = NonlinearFactorGraph(),
const Values newTheta = Values(),
const KeyTimestampMap timestamps = KeyTimestampMap(),
const FactorIndices factorsToRemove = FactorIndices() 
)
overridevirtual

Add new factors, updating the solution and re-linearizing as needed.

Parameters
newFactorsnew factors on old and/or new variables
newThetanew values for new variables only
timestampsan (optional) map from keys to real time stamps
factorsToRemovean (optional) list of factors to remove.

Implements gtsam::FixedLagSmoother.

Definition at line 66 of file IncrementalFixedLagSmoother.cpp.

Member Data Documentation

◆ isam_

ISAM2 gtsam::IncrementalFixedLagSmoother::isam_
protected

An iSAM2 object used to perform inference. The smoother lag is controlled by what factors are removed each iteration

Definition at line 131 of file IncrementalFixedLagSmoother.h.

◆ isamResult_

ISAM2Result gtsam::IncrementalFixedLagSmoother::isamResult_
protected

Store results of latest isam2 update

Definition at line 134 of file IncrementalFixedLagSmoother.h.


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


gtsam
Author(s):
autogenerated on Sat Nov 16 2024 04:15:35