2012-05-04 01:03:16 +08:00
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/**
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2012-05-04 01:03:25 +08:00
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* Matlab toolbox interface definition for gtsam_unstable
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2012-05-04 01:03:16 +08:00
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*/
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// specify the classes from gtsam we are using
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2012-07-14 05:55:05 +08:00
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virtual class gtsam::Value;
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2014-11-08 05:41:21 +08:00
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class gtsam::Vector6;
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class gtsam::Point2;
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2015-05-04 08:31:08 +08:00
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class gtsam::Point2Vector;
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2014-11-08 05:41:21 +08:00
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class gtsam::Rot2;
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class gtsam::Pose2;
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class gtsam::Point3;
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Feature/shonan averaging (#473)
Shonan Rotation Averaging.
199 commit messages below, many are obsolete as design has changed quite a bit over time, especially from the earlier period where I thought we only needed SO(4).
* prototyping weighted sampler
* Moved WeightedSampler into its own header
* Random now uses std header <random>.
* Removed boost/random usage from linear and discrete directories
* Made into class
* Now using new WeightedSampler class
* Inlined random direction generation
* eradicated last vestiges of boost/random in gtsam_unstable
* Added 3D example g2o file
* Added Frobenius norm factors
* Shonan averaging algorithm, using SOn class
* Wrapping Frobenius and Shonan
* Fixed issues with <<
* Use Builder parameters
* Refactored Shonan interface
* Fixed << issues as well as MATLAB segfault, using eval(), as discussed in issue #451
* ShonanAveragingParameters
* New factor FrobeniusWormholeFactorP computes |Rj*P - Ri*P*Rij|
* Fixed broken GetDimension for Lie groups with variable dimension.
* Removed all but Shonan averaging factor and made everything work with new SOn
* Just a single WormholeFactor, wrapped noise model
* Use std <random>
* comments/todos
* added timing script
* add script to process ShonanAveraging timing results
* Now producing a CSV file
* Parse csv file and make combined plot
* Fixed range
* change p value and set two flags on
* input file path, all the csv files proceeses at the same time
* add check convergence rate part
* csv file have name according to input data name
* correct one mistake in initialization
* generate the convergence rate for each p value
* add yticks for the bar plot
* add noises to the measurements
* test add noise
* Basic structure for checkOptimalityAt
* change optimizer method to cholesky
* buildQ now working. Tests should be better but visually inspected.
* multiple test with cholesky
* back
* computeLambda now works
* make combined plots while make bar plot
* Calculate minimum eigenvalue - the very expensive version
* Exposed computeMinEigenValue
* make plots and bar togenter
* method change to jacobi
* add time for check optimality, min_eigen_value, sub_bound
* updated plot min_eigen value and subounds
* Adding Spectra headers
* David's min eigenvalue code inserted and made to compile.
* Made it work
* Made "run" method work.
* add rim.g2o name
* Fixed bug in shifting eigenvalues
* roundSolution which replaces projectFrom
* removed extra arguments
* Added to wrapper
* Add SOn to template lists
* roundSolution delete the extra arguement p
* only calculate p=5 and change to the correct way computing f_R
* Fixed conflict and made Google-style name changes
* prototype descent code and unit test for initializeWithDescent
* add averaging cost/time part in processing data
* initializewithDescent success in test
* Formatting and find example rather than hardcode
* Removed accidentally checked in cmake files
* give value to xi by block
* correct gradient descent
* correct xi
* }
* Fix wrapper
* Make Hat/Vee have alternating signs
* MakeATangentVector helpder function
* Fixed cmake files
* changed sign
* add line search
* unit test for line search
* test real data with line search
* correct comment
* Fix boost::uniform_real
* add save .dat file
* correct test case
* add explanation
* delete redundant cout
* add name to .dat output file
* correct checkR
* add get poses_ in shonan
* add Vector Point type for savig data
* Remove cmake file which magically re-appeared??
* Switched to std random library.
* Prepare Klaus test
* Add klaus3.g2o data.
* fix comment
* Fix derivatives
* Fixed broken GetDimension for Lie groups with variable dimension.
* Fix SOn tests to report correct dimension
* Added tests for Klaus3 data
* Add runWithRandomKlaus test for shonan.
* Finish runWithRandomKlaus unittest.
* Correct datafile.
* Correct the format.
* Added measured and keys methods
* Shonan works on Klaus data
* Create dense versions for wrappers, for testing
* Now store D, Q, and L
* Remove another cmake file incorrectly checked in.
* Found and fixed the bug in ComputeLambda !
* Now using Q in Lambdas calculation, so Lambdas agree with Eriksson18cvpr.
* Make FrobeniusFactor not use deprecated methods
* FrobeniusWormholeFactor takes Rot3 as argument
* Wrapped some more methods.
* Wrapped more methods
* Allow creating and populating BetweenFactorPose3s in python
* New constructors for ShonanAveraging
* add function of get measurements number
* Remove option not to use noise model
* wrap Use nrMeasurements
* Made Logmap a bit more tolerant of slightly degenerate rotations (with trace < -1)
* Allow for Anchor index
* Fix anchor bug
* Change outside view to Rot3 rather than SO3
* Add Lift in SOn class
* Make comet working
* Small fixes
* Delete extra function
* Add SOn::Lift
* Removed hardcoded flag
* Moved Frobenius factor to gtsam from unstable
* Added new tests and made an old regression pass again
* Cleaned up formatting and some comments, added EXPORT directives
* Throw exception if wrongly dimensioned values are given
* static_cast and other throw
* Fixed run-time dimension
* Added gauge-constraining factor
* LM parameters now passed in, added Gauge fixing
* 2D test scaffold
* Comments
* Pre-allocated generators
* Document API
* Add optional weight
* New prior weeights infrastructure
* Made d a template parameter
* Recursive Hat and RetractJacobian test
* Added Spectra 0.9.0 to 3rdparty
* Enabling 2D averaging
* Templatized Wormhole factor
* ignore xcode folder
* Fixed vec and VectorizedGenerators templates for fixed N!=3 or 4
* Simplifying constructors
Moved file loading to tests (for now)
All unit tests pass for d==3!
* Templated some methods internally
* Very generic parseToVector
* refactored load2d
* Very much improved FrobeniusWormholeFactor (Shonan) Jacobians
* SO(2) averaging works !
* Templated parse methods
* Switched to new Dataset paradigm
* Moved Shonan to gtsam
* Checked noise model is correctly gotten from file
* Fixed covariance bug
* Making Shonan wrapper work
* Renamed FrobeniusWormholeFactor to ShonanFactor and moved into its own compilation unit in gtsam/sfm
* Fixed wrong include
* Simplified interface (removed irrelevant random inits) and fixed eigenvector test
* Removed stray boost::none
* Added citation as suggested by Jose
* Made descent test deterministic
* Fixed some comments, commented out flaky test
Co-authored-by: Jing Wu <jingwu@gatech.edu>
Co-authored-by: jingwuOUO <wujing2951@gmail.com>
Co-authored-by: swang <swang736@gatech.edu>
Co-authored-by: ss <ss>
Co-authored-by: Fan Jiang <prof.fan@foxmail.com>
2020-08-17 19:43:10 +08:00
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class gtsam::SO3;
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class gtsam::SO4;
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class gtsam::SOn;
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2014-11-08 05:41:21 +08:00
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class gtsam::Rot3;
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class gtsam::Pose3;
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2012-07-14 05:55:05 +08:00
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virtual class gtsam::noiseModel::Base;
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2013-08-07 23:25:00 +08:00
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virtual class gtsam::noiseModel::Gaussian;
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Feature/shonan averaging (#473)
Shonan Rotation Averaging.
199 commit messages below, many are obsolete as design has changed quite a bit over time, especially from the earlier period where I thought we only needed SO(4).
* prototyping weighted sampler
* Moved WeightedSampler into its own header
* Random now uses std header <random>.
* Removed boost/random usage from linear and discrete directories
* Made into class
* Now using new WeightedSampler class
* Inlined random direction generation
* eradicated last vestiges of boost/random in gtsam_unstable
* Added 3D example g2o file
* Added Frobenius norm factors
* Shonan averaging algorithm, using SOn class
* Wrapping Frobenius and Shonan
* Fixed issues with <<
* Use Builder parameters
* Refactored Shonan interface
* Fixed << issues as well as MATLAB segfault, using eval(), as discussed in issue #451
* ShonanAveragingParameters
* New factor FrobeniusWormholeFactorP computes |Rj*P - Ri*P*Rij|
* Fixed broken GetDimension for Lie groups with variable dimension.
* Removed all but Shonan averaging factor and made everything work with new SOn
* Just a single WormholeFactor, wrapped noise model
* Use std <random>
* comments/todos
* added timing script
* add script to process ShonanAveraging timing results
* Now producing a CSV file
* Parse csv file and make combined plot
* Fixed range
* change p value and set two flags on
* input file path, all the csv files proceeses at the same time
* add check convergence rate part
* csv file have name according to input data name
* correct one mistake in initialization
* generate the convergence rate for each p value
* add yticks for the bar plot
* add noises to the measurements
* test add noise
* Basic structure for checkOptimalityAt
* change optimizer method to cholesky
* buildQ now working. Tests should be better but visually inspected.
* multiple test with cholesky
* back
* computeLambda now works
* make combined plots while make bar plot
* Calculate minimum eigenvalue - the very expensive version
* Exposed computeMinEigenValue
* make plots and bar togenter
* method change to jacobi
* add time for check optimality, min_eigen_value, sub_bound
* updated plot min_eigen value and subounds
* Adding Spectra headers
* David's min eigenvalue code inserted and made to compile.
* Made it work
* Made "run" method work.
* add rim.g2o name
* Fixed bug in shifting eigenvalues
* roundSolution which replaces projectFrom
* removed extra arguments
* Added to wrapper
* Add SOn to template lists
* roundSolution delete the extra arguement p
* only calculate p=5 and change to the correct way computing f_R
* Fixed conflict and made Google-style name changes
* prototype descent code and unit test for initializeWithDescent
* add averaging cost/time part in processing data
* initializewithDescent success in test
* Formatting and find example rather than hardcode
* Removed accidentally checked in cmake files
* give value to xi by block
* correct gradient descent
* correct xi
* }
* Fix wrapper
* Make Hat/Vee have alternating signs
* MakeATangentVector helpder function
* Fixed cmake files
* changed sign
* add line search
* unit test for line search
* test real data with line search
* correct comment
* Fix boost::uniform_real
* add save .dat file
* correct test case
* add explanation
* delete redundant cout
* add name to .dat output file
* correct checkR
* add get poses_ in shonan
* add Vector Point type for savig data
* Remove cmake file which magically re-appeared??
* Switched to std random library.
* Prepare Klaus test
* Add klaus3.g2o data.
* fix comment
* Fix derivatives
* Fixed broken GetDimension for Lie groups with variable dimension.
* Fix SOn tests to report correct dimension
* Added tests for Klaus3 data
* Add runWithRandomKlaus test for shonan.
* Finish runWithRandomKlaus unittest.
* Correct datafile.
* Correct the format.
* Added measured and keys methods
* Shonan works on Klaus data
* Create dense versions for wrappers, for testing
* Now store D, Q, and L
* Remove another cmake file incorrectly checked in.
* Found and fixed the bug in ComputeLambda !
* Now using Q in Lambdas calculation, so Lambdas agree with Eriksson18cvpr.
* Make FrobeniusFactor not use deprecated methods
* FrobeniusWormholeFactor takes Rot3 as argument
* Wrapped some more methods.
* Wrapped more methods
* Allow creating and populating BetweenFactorPose3s in python
* New constructors for ShonanAveraging
* add function of get measurements number
* Remove option not to use noise model
* wrap Use nrMeasurements
* Made Logmap a bit more tolerant of slightly degenerate rotations (with trace < -1)
* Allow for Anchor index
* Fix anchor bug
* Change outside view to Rot3 rather than SO3
* Add Lift in SOn class
* Make comet working
* Small fixes
* Delete extra function
* Add SOn::Lift
* Removed hardcoded flag
* Moved Frobenius factor to gtsam from unstable
* Added new tests and made an old regression pass again
* Cleaned up formatting and some comments, added EXPORT directives
* Throw exception if wrongly dimensioned values are given
* static_cast and other throw
* Fixed run-time dimension
* Added gauge-constraining factor
* LM parameters now passed in, added Gauge fixing
* 2D test scaffold
* Comments
* Pre-allocated generators
* Document API
* Add optional weight
* New prior weeights infrastructure
* Made d a template parameter
* Recursive Hat and RetractJacobian test
* Added Spectra 0.9.0 to 3rdparty
* Enabling 2D averaging
* Templatized Wormhole factor
* ignore xcode folder
* Fixed vec and VectorizedGenerators templates for fixed N!=3 or 4
* Simplifying constructors
Moved file loading to tests (for now)
All unit tests pass for d==3!
* Templated some methods internally
* Very generic parseToVector
* refactored load2d
* Very much improved FrobeniusWormholeFactor (Shonan) Jacobians
* SO(2) averaging works !
* Templated parse methods
* Switched to new Dataset paradigm
* Moved Shonan to gtsam
* Checked noise model is correctly gotten from file
* Fixed covariance bug
* Making Shonan wrapper work
* Renamed FrobeniusWormholeFactor to ShonanFactor and moved into its own compilation unit in gtsam/sfm
* Fixed wrong include
* Simplified interface (removed irrelevant random inits) and fixed eigenvector test
* Removed stray boost::none
* Added citation as suggested by Jose
* Made descent test deterministic
* Fixed some comments, commented out flaky test
Co-authored-by: Jing Wu <jingwu@gatech.edu>
Co-authored-by: jingwuOUO <wujing2951@gmail.com>
Co-authored-by: swang <swang736@gatech.edu>
Co-authored-by: ss <ss>
Co-authored-by: Fan Jiang <prof.fan@foxmail.com>
2020-08-17 19:43:10 +08:00
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virtual class gtsam::noiseModel::Isotropic;
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2013-08-03 00:04:17 +08:00
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virtual class gtsam::imuBias::ConstantBias;
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2012-07-14 05:55:05 +08:00
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virtual class gtsam::NonlinearFactor;
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2014-05-05 22:14:56 +08:00
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virtual class gtsam::NoiseModelFactor;
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2022-12-24 22:35:45 +08:00
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virtual class gtsam::NoiseModelFactorN;
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2012-09-21 22:19:57 +08:00
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virtual class gtsam::GaussianFactor;
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virtual class gtsam::HessianFactor;
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virtual class gtsam::JacobianFactor;
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2014-11-08 05:41:21 +08:00
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class gtsam::Cal3_S2;
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class gtsam::Cal3DS2;
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2012-09-21 22:19:57 +08:00
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class gtsam::GaussianFactorGraph;
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class gtsam::NonlinearFactorGraph;
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class gtsam::Ordering;
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class gtsam::Values;
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2013-04-16 03:54:46 +08:00
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class gtsam::Key;
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class gtsam::VectorValues;
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class gtsam::KeyList;
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2013-03-24 04:19:43 +08:00
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class gtsam::KeySet;
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class gtsam::KeyVector;
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2013-04-16 03:54:46 +08:00
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class gtsam::LevenbergMarquardtParams;
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class gtsam::ISAM2Params;
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2013-05-21 07:28:38 +08:00
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class gtsam::GaussianDensity;
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Feature/shonan averaging (#473)
Shonan Rotation Averaging.
199 commit messages below, many are obsolete as design has changed quite a bit over time, especially from the earlier period where I thought we only needed SO(4).
* prototyping weighted sampler
* Moved WeightedSampler into its own header
* Random now uses std header <random>.
* Removed boost/random usage from linear and discrete directories
* Made into class
* Now using new WeightedSampler class
* Inlined random direction generation
* eradicated last vestiges of boost/random in gtsam_unstable
* Added 3D example g2o file
* Added Frobenius norm factors
* Shonan averaging algorithm, using SOn class
* Wrapping Frobenius and Shonan
* Fixed issues with <<
* Use Builder parameters
* Refactored Shonan interface
* Fixed << issues as well as MATLAB segfault, using eval(), as discussed in issue #451
* ShonanAveragingParameters
* New factor FrobeniusWormholeFactorP computes |Rj*P - Ri*P*Rij|
* Fixed broken GetDimension for Lie groups with variable dimension.
* Removed all but Shonan averaging factor and made everything work with new SOn
* Just a single WormholeFactor, wrapped noise model
* Use std <random>
* comments/todos
* added timing script
* add script to process ShonanAveraging timing results
* Now producing a CSV file
* Parse csv file and make combined plot
* Fixed range
* change p value and set two flags on
* input file path, all the csv files proceeses at the same time
* add check convergence rate part
* csv file have name according to input data name
* correct one mistake in initialization
* generate the convergence rate for each p value
* add yticks for the bar plot
* add noises to the measurements
* test add noise
* Basic structure for checkOptimalityAt
* change optimizer method to cholesky
* buildQ now working. Tests should be better but visually inspected.
* multiple test with cholesky
* back
* computeLambda now works
* make combined plots while make bar plot
* Calculate minimum eigenvalue - the very expensive version
* Exposed computeMinEigenValue
* make plots and bar togenter
* method change to jacobi
* add time for check optimality, min_eigen_value, sub_bound
* updated plot min_eigen value and subounds
* Adding Spectra headers
* David's min eigenvalue code inserted and made to compile.
* Made it work
* Made "run" method work.
* add rim.g2o name
* Fixed bug in shifting eigenvalues
* roundSolution which replaces projectFrom
* removed extra arguments
* Added to wrapper
* Add SOn to template lists
* roundSolution delete the extra arguement p
* only calculate p=5 and change to the correct way computing f_R
* Fixed conflict and made Google-style name changes
* prototype descent code and unit test for initializeWithDescent
* add averaging cost/time part in processing data
* initializewithDescent success in test
* Formatting and find example rather than hardcode
* Removed accidentally checked in cmake files
* give value to xi by block
* correct gradient descent
* correct xi
* }
* Fix wrapper
* Make Hat/Vee have alternating signs
* MakeATangentVector helpder function
* Fixed cmake files
* changed sign
* add line search
* unit test for line search
* test real data with line search
* correct comment
* Fix boost::uniform_real
* add save .dat file
* correct test case
* add explanation
* delete redundant cout
* add name to .dat output file
* correct checkR
* add get poses_ in shonan
* add Vector Point type for savig data
* Remove cmake file which magically re-appeared??
* Switched to std random library.
* Prepare Klaus test
* Add klaus3.g2o data.
* fix comment
* Fix derivatives
* Fixed broken GetDimension for Lie groups with variable dimension.
* Fix SOn tests to report correct dimension
* Added tests for Klaus3 data
* Add runWithRandomKlaus test for shonan.
* Finish runWithRandomKlaus unittest.
* Correct datafile.
* Correct the format.
* Added measured and keys methods
* Shonan works on Klaus data
* Create dense versions for wrappers, for testing
* Now store D, Q, and L
* Remove another cmake file incorrectly checked in.
* Found and fixed the bug in ComputeLambda !
* Now using Q in Lambdas calculation, so Lambdas agree with Eriksson18cvpr.
* Make FrobeniusFactor not use deprecated methods
* FrobeniusWormholeFactor takes Rot3 as argument
* Wrapped some more methods.
* Wrapped more methods
* Allow creating and populating BetweenFactorPose3s in python
* New constructors for ShonanAveraging
* add function of get measurements number
* Remove option not to use noise model
* wrap Use nrMeasurements
* Made Logmap a bit more tolerant of slightly degenerate rotations (with trace < -1)
* Allow for Anchor index
* Fix anchor bug
* Change outside view to Rot3 rather than SO3
* Add Lift in SOn class
* Make comet working
* Small fixes
* Delete extra function
* Add SOn::Lift
* Removed hardcoded flag
* Moved Frobenius factor to gtsam from unstable
* Added new tests and made an old regression pass again
* Cleaned up formatting and some comments, added EXPORT directives
* Throw exception if wrongly dimensioned values are given
* static_cast and other throw
* Fixed run-time dimension
* Added gauge-constraining factor
* LM parameters now passed in, added Gauge fixing
* 2D test scaffold
* Comments
* Pre-allocated generators
* Document API
* Add optional weight
* New prior weeights infrastructure
* Made d a template parameter
* Recursive Hat and RetractJacobian test
* Added Spectra 0.9.0 to 3rdparty
* Enabling 2D averaging
* Templatized Wormhole factor
* ignore xcode folder
* Fixed vec and VectorizedGenerators templates for fixed N!=3 or 4
* Simplifying constructors
Moved file loading to tests (for now)
All unit tests pass for d==3!
* Templated some methods internally
* Very generic parseToVector
* refactored load2d
* Very much improved FrobeniusWormholeFactor (Shonan) Jacobians
* SO(2) averaging works !
* Templated parse methods
* Switched to new Dataset paradigm
* Moved Shonan to gtsam
* Checked noise model is correctly gotten from file
* Fixed covariance bug
* Making Shonan wrapper work
* Renamed FrobeniusWormholeFactor to ShonanFactor and moved into its own compilation unit in gtsam/sfm
* Fixed wrong include
* Simplified interface (removed irrelevant random inits) and fixed eigenvector test
* Removed stray boost::none
* Added citation as suggested by Jose
* Made descent test deterministic
* Fixed some comments, commented out flaky test
Co-authored-by: Jing Wu <jingwu@gatech.edu>
Co-authored-by: jingwuOUO <wujing2951@gmail.com>
Co-authored-by: swang <swang736@gatech.edu>
Co-authored-by: ss <ss>
Co-authored-by: Fan Jiang <prof.fan@foxmail.com>
2020-08-17 19:43:10 +08:00
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class gtsam::LevenbergMarquardtOptimizer;
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2023-02-21 00:20:16 +08:00
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class gtsam::FixedLagSmoother;
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2012-05-04 01:03:16 +08:00
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2012-06-05 02:23:18 +08:00
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namespace gtsam {
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2012-06-15 09:01:25 +08:00
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#include <gtsam_unstable/base/Dummy.h>
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class Dummy {
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Dummy();
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void print(string s) const;
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2012-06-30 09:34:04 +08:00
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unsigned char dummyTwoVar(unsigned char a) const;
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2012-06-15 09:01:25 +08:00
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};
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2012-05-04 01:03:25 +08:00
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#include <gtsam_unstable/dynamics/PoseRTV.h>
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2014-11-08 05:41:21 +08:00
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class PoseRTV {
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2012-10-02 22:40:07 +08:00
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PoseRTV();
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2024-06-29 04:18:04 +08:00
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PoseRTV(gtsam::Vector rtv);
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PoseRTV(const gtsam::Point3& pt, const gtsam::Rot3& rot, const gtsam::Vector& vel);
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PoseRTV(const gtsam::Rot3& rot, const gtsam::Point3& pt, const gtsam::Vector& vel);
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PoseRTV(const gtsam::Pose3& pose, const gtsam::Vector& vel);
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2012-10-02 22:40:07 +08:00
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PoseRTV(const gtsam::Pose3& pose);
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PoseRTV(double roll, double pitch, double yaw, double x, double y, double z, double vx, double vy, double vz);
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// testable
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bool equals(const gtsam::PoseRTV& other, double tol) const;
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void print(string s) const;
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// access
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gtsam::Point3 translation() const;
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gtsam::Rot3 rotation() const;
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2024-06-29 04:18:04 +08:00
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gtsam::Vector velocity() const;
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2012-10-02 22:40:07 +08:00
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gtsam::Pose3 pose() const;
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2024-06-29 04:18:04 +08:00
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// gtsam::Vector interfaces
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gtsam::Vector vector() const;
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|
|
gtsam::Vector translationVec() const;
|
|
|
|
gtsam::Vector velocityVec() const;
|
2012-10-02 22:40:07 +08:00
|
|
|
|
|
|
|
// manifold/Lie
|
|
|
|
static size_t Dim();
|
|
|
|
size_t dim() const;
|
2024-06-29 04:18:04 +08:00
|
|
|
gtsam::PoseRTV retract(gtsam::Vector v) const;
|
|
|
|
gtsam::Vector localCoordinates(const gtsam::PoseRTV& p) const;
|
|
|
|
static gtsam::PoseRTV Expmap(gtsam::Vector v);
|
|
|
|
static gtsam::Vector Logmap(const gtsam::PoseRTV& p);
|
2012-10-02 22:40:07 +08:00
|
|
|
gtsam::PoseRTV inverse() const;
|
|
|
|
gtsam::PoseRTV compose(const gtsam::PoseRTV& p) const;
|
|
|
|
gtsam::PoseRTV between(const gtsam::PoseRTV& p) const;
|
|
|
|
|
|
|
|
// measurement
|
|
|
|
double range(const gtsam::PoseRTV& other) const;
|
|
|
|
gtsam::PoseRTV transformed_from(const gtsam::Pose3& trans) const;
|
|
|
|
|
|
|
|
// IMU/dynamics
|
|
|
|
gtsam::PoseRTV planarDynamics(double vel_rate, double heading_rate, double max_accel, double dt) const;
|
|
|
|
gtsam::PoseRTV flyingDynamics(double pitch_rate, double heading_rate, double lift_control, double dt) const;
|
2024-06-29 04:18:04 +08:00
|
|
|
gtsam::PoseRTV generalDynamics(gtsam::Vector accel, gtsam::Vector gyro, double dt) const;
|
|
|
|
gtsam::Vector imuPrediction(const gtsam::PoseRTV& x2, double dt) const;
|
2012-10-02 22:40:07 +08:00
|
|
|
gtsam::Point3 translationIntegration(const gtsam::PoseRTV& x2, double dt) const;
|
2024-06-29 04:18:04 +08:00
|
|
|
gtsam::Vector translationIntegrationVec(const gtsam::PoseRTV& x2, double dt) const;
|
2013-06-20 01:50:07 +08:00
|
|
|
|
|
|
|
void serializable() const; // enabling serialization functionality
|
2012-05-04 01:03:16 +08:00
|
|
|
};
|
|
|
|
|
2013-03-24 04:19:30 +08:00
|
|
|
#include <gtsam_unstable/geometry/Pose3Upright.h>
|
2014-11-08 05:41:21 +08:00
|
|
|
class Pose3Upright {
|
2013-03-24 04:19:30 +08:00
|
|
|
Pose3Upright();
|
2017-08-15 23:16:13 +08:00
|
|
|
Pose3Upright(const gtsam::Pose3Upright& other);
|
2013-03-24 04:19:30 +08:00
|
|
|
Pose3Upright(const gtsam::Rot2& bearing, const gtsam::Point3& t);
|
|
|
|
Pose3Upright(double x, double y, double z, double theta);
|
|
|
|
Pose3Upright(const gtsam::Pose2& pose, double z);
|
|
|
|
|
|
|
|
void print(string s) const;
|
|
|
|
bool equals(const gtsam::Pose3Upright& pose, double tol) const;
|
|
|
|
|
|
|
|
double x() const;
|
|
|
|
double y() const;
|
|
|
|
double z() const;
|
|
|
|
double theta() const;
|
|
|
|
|
|
|
|
gtsam::Point2 translation2() const;
|
|
|
|
gtsam::Point3 translation() const;
|
|
|
|
gtsam::Rot2 rotation2() const;
|
|
|
|
gtsam::Rot3 rotation() const;
|
|
|
|
gtsam::Pose2 pose2() const;
|
|
|
|
gtsam::Pose3 pose() const;
|
|
|
|
|
|
|
|
size_t dim() const;
|
2024-06-29 04:18:04 +08:00
|
|
|
gtsam::Pose3Upright retract(gtsam::Vector v) const;
|
|
|
|
gtsam::Vector localCoordinates(const gtsam::Pose3Upright& p2) const;
|
2013-03-24 04:19:30 +08:00
|
|
|
|
2022-07-08 00:31:27 +08:00
|
|
|
static gtsam::Pose3Upright Identity();
|
2013-03-24 04:19:30 +08:00
|
|
|
gtsam::Pose3Upright inverse() const;
|
|
|
|
gtsam::Pose3Upright compose(const gtsam::Pose3Upright& p2) const;
|
|
|
|
gtsam::Pose3Upright between(const gtsam::Pose3Upright& p2) const;
|
|
|
|
|
2024-06-29 04:18:04 +08:00
|
|
|
static gtsam::Pose3Upright Expmap(gtsam::Vector xi);
|
|
|
|
static gtsam::Vector Logmap(const gtsam::Pose3Upright& p);
|
2013-06-20 01:50:07 +08:00
|
|
|
|
|
|
|
void serializable() const; // enabling serialization functionality
|
2013-03-24 04:19:30 +08:00
|
|
|
}; // \class Pose3Upright
|
|
|
|
|
|
|
|
#include <gtsam_unstable/geometry/BearingS2.h>
|
2014-11-08 05:41:21 +08:00
|
|
|
class BearingS2 {
|
2013-03-24 04:19:30 +08:00
|
|
|
BearingS2();
|
2017-08-15 23:16:13 +08:00
|
|
|
BearingS2(double azimuth_double, double elevation_double);
|
2013-03-24 04:19:30 +08:00
|
|
|
BearingS2(const gtsam::Rot2& azimuth, const gtsam::Rot2& elevation);
|
|
|
|
|
|
|
|
gtsam::Rot2 azimuth() const;
|
|
|
|
gtsam::Rot2 elevation() const;
|
|
|
|
|
|
|
|
static gtsam::BearingS2 fromDownwardsObservation(const gtsam::Pose3& A, const gtsam::Point3& B);
|
|
|
|
static gtsam::BearingS2 fromForwardObservation(const gtsam::Pose3& A, const gtsam::Point3& B);
|
|
|
|
|
|
|
|
void print(string s) const;
|
|
|
|
bool equals(const gtsam::BearingS2& x, double tol) const;
|
|
|
|
|
|
|
|
size_t dim() const;
|
2024-06-29 04:18:04 +08:00
|
|
|
gtsam::BearingS2 retract(gtsam::Vector v) const;
|
|
|
|
gtsam::Vector localCoordinates(const gtsam::BearingS2& p2) const;
|
2013-06-20 01:50:07 +08:00
|
|
|
|
|
|
|
void serializable() const; // enabling serialization functionality
|
2013-03-24 04:19:30 +08:00
|
|
|
};
|
|
|
|
|
2021-02-20 05:08:43 +08:00
|
|
|
|
2013-03-24 04:19:40 +08:00
|
|
|
#include <gtsam_unstable/geometry/SimWall2D.h>
|
2013-03-24 04:19:32 +08:00
|
|
|
class SimWall2D {
|
|
|
|
SimWall2D();
|
|
|
|
SimWall2D(const gtsam::Point2& a, const gtsam::Point2& b);
|
|
|
|
SimWall2D(double ax, double ay, double bx, double by);
|
|
|
|
|
|
|
|
void print(string s) const;
|
|
|
|
bool equals(const gtsam::SimWall2D& other, double tol) const;
|
|
|
|
|
|
|
|
gtsam::Point2 a() const;
|
|
|
|
gtsam::Point2 b() const;
|
|
|
|
|
|
|
|
gtsam::SimWall2D scale(double s) const;
|
|
|
|
double length() const;
|
|
|
|
gtsam::Point2 midpoint() const;
|
|
|
|
|
|
|
|
bool intersects(const gtsam::SimWall2D& wall) const;
|
2023-01-14 06:12:15 +08:00
|
|
|
// bool intersects(const gtsam::SimWall2D& wall, gtsam::Point2* pt = nullptr) const;
|
2013-03-24 04:19:32 +08:00
|
|
|
|
|
|
|
gtsam::Point2 norm() const;
|
|
|
|
gtsam::Rot2 reflection(const gtsam::Point2& init, const gtsam::Point2& intersection) const;
|
|
|
|
};
|
|
|
|
|
2013-03-24 04:19:40 +08:00
|
|
|
#include <gtsam_unstable/geometry/SimPolygon2D.h>
|
|
|
|
class SimPolygon2D {
|
2013-03-24 04:19:32 +08:00
|
|
|
static void seedGenerator(size_t seed);
|
|
|
|
static gtsam::SimPolygon2D createTriangle(const gtsam::Point2& pA, const gtsam::Point2& pB, const gtsam::Point2& pC);
|
|
|
|
static gtsam::SimPolygon2D createRectangle(const gtsam::Point2& p, double height, double width);
|
|
|
|
|
|
|
|
static gtsam::SimPolygon2D randomTriangle(double side_len, double mean_side_len, double sigma_side_len,
|
|
|
|
double min_vertex_dist, double min_side_len, const gtsam::SimPolygon2DVector& existing_polys);
|
|
|
|
static gtsam::SimPolygon2D randomRectangle(double side_len, double mean_side_len, double sigma_side_len,
|
|
|
|
double min_vertex_dist, double min_side_len, const gtsam::SimPolygon2DVector& existing_polys);
|
|
|
|
|
|
|
|
gtsam::Point2 landmark(size_t i) const;
|
|
|
|
size_t size() const;
|
|
|
|
gtsam::Point2Vector vertices() const;
|
|
|
|
|
|
|
|
bool equals(const gtsam::SimPolygon2D& p, double tol) const;
|
|
|
|
void print(string s) const;
|
|
|
|
|
|
|
|
gtsam::SimWall2DVector walls() const;
|
|
|
|
bool contains(const gtsam::Point2& p) const;
|
|
|
|
bool overlaps(const gtsam::SimPolygon2D& p) const;
|
|
|
|
|
|
|
|
static bool anyContains(const gtsam::Point2& p, const gtsam::SimPolygon2DVector& obstacles);
|
|
|
|
static bool anyOverlaps(const gtsam::SimPolygon2D& p, const gtsam::SimPolygon2DVector& obstacles);
|
|
|
|
static bool insideBox(double s, const gtsam::Point2& p);
|
|
|
|
static bool nearExisting(const gtsam::Point2Vector& S,
|
|
|
|
const gtsam::Point2& p, double threshold);
|
|
|
|
|
|
|
|
static gtsam::Point2 randomPoint2(double s);
|
|
|
|
static gtsam::Rot2 randomAngle();
|
|
|
|
static double randomDistance(double mu, double sigma);
|
|
|
|
static double randomDistance(double mu, double sigma, double min_dist);
|
|
|
|
static gtsam::Point2 randomBoundedPoint2(double boundary_size,
|
|
|
|
const gtsam::Point2Vector& landmarks, double min_landmark_dist);
|
|
|
|
static gtsam::Point2 randomBoundedPoint2(double boundary_size,
|
|
|
|
const gtsam::Point2Vector& landmarks,
|
|
|
|
const gtsam::SimPolygon2DVector& obstacles, double min_landmark_dist);
|
|
|
|
static gtsam::Point2 randomBoundedPoint2(double boundary_size,
|
|
|
|
const gtsam::SimPolygon2DVector& obstacles);
|
|
|
|
static gtsam::Point2 randomBoundedPoint2(
|
|
|
|
const gtsam::Point2& LL_corner, const gtsam::Point2& UR_corner,
|
|
|
|
const gtsam::Point2Vector& landmarks,
|
|
|
|
const gtsam::SimPolygon2DVector& obstacles, double min_landmark_dist);
|
|
|
|
static gtsam::Pose2 randomFreePose(double boundary_size, const gtsam::SimPolygon2DVector& obstacles);
|
|
|
|
};
|
|
|
|
|
|
|
|
// std::vector<gtsam::SimWall2D>
|
|
|
|
class SimWall2DVector
|
|
|
|
{
|
|
|
|
//Capacity
|
|
|
|
size_t size() const;
|
|
|
|
size_t max_size() const;
|
|
|
|
void resize(size_t sz);
|
|
|
|
size_t capacity() const;
|
|
|
|
bool empty() const;
|
|
|
|
void reserve(size_t n);
|
|
|
|
|
|
|
|
//Element access
|
|
|
|
gtsam::SimWall2D at(size_t n) const;
|
|
|
|
gtsam::SimWall2D front() const;
|
|
|
|
gtsam::SimWall2D back() const;
|
|
|
|
|
|
|
|
//Modifiers
|
|
|
|
void assign(size_t n, const gtsam::SimWall2D& u);
|
|
|
|
void push_back(const gtsam::SimWall2D& x);
|
|
|
|
void pop_back();
|
|
|
|
};
|
|
|
|
|
|
|
|
// std::vector<gtsam::SimPolygon2D>
|
|
|
|
class SimPolygon2DVector
|
|
|
|
{
|
|
|
|
//Capacity
|
|
|
|
size_t size() const;
|
|
|
|
size_t max_size() const;
|
|
|
|
void resize(size_t sz);
|
|
|
|
size_t capacity() const;
|
|
|
|
bool empty() const;
|
|
|
|
void reserve(size_t n);
|
|
|
|
|
|
|
|
//Element access
|
|
|
|
gtsam::SimPolygon2D at(size_t n) const;
|
|
|
|
gtsam::SimPolygon2D front() const;
|
|
|
|
gtsam::SimPolygon2D back() const;
|
|
|
|
|
|
|
|
//Modifiers
|
|
|
|
void assign(size_t n, const gtsam::SimPolygon2D& u);
|
|
|
|
void push_back(const gtsam::SimPolygon2D& x);
|
|
|
|
void pop_back();
|
|
|
|
};
|
2012-07-14 05:55:05 +08:00
|
|
|
|
|
|
|
// Nonlinear factors from gtsam, for our Value types
|
2020-04-11 10:26:22 +08:00
|
|
|
#include <gtsam/nonlinear/PriorFactor.h>
|
2012-07-14 05:55:05 +08:00
|
|
|
template<T = {gtsam::PoseRTV}>
|
2017-03-19 03:52:08 +08:00
|
|
|
virtual class PriorFactor : gtsam::NoiseModelFactor {
|
2012-10-02 22:40:07 +08:00
|
|
|
PriorFactor(size_t key, const T& prior, const gtsam::noiseModel::Base* noiseModel);
|
2013-06-20 01:50:07 +08:00
|
|
|
|
|
|
|
void serializable() const; // enabling serialization functionality
|
2012-07-14 05:55:05 +08:00
|
|
|
};
|
|
|
|
|
|
|
|
#include <gtsam/slam/BetweenFactor.h>
|
|
|
|
template<T = {gtsam::PoseRTV}>
|
2017-03-19 03:52:08 +08:00
|
|
|
virtual class BetweenFactor : gtsam::NoiseModelFactor {
|
2012-10-02 22:40:07 +08:00
|
|
|
BetweenFactor(size_t key1, size_t key2, const T& relativePose, const gtsam::noiseModel::Base* noiseModel);
|
2013-06-20 01:50:07 +08:00
|
|
|
|
|
|
|
void serializable() const; // enabling serialization functionality
|
2012-07-14 05:55:05 +08:00
|
|
|
};
|
|
|
|
|
2013-08-08 23:12:21 +08:00
|
|
|
#include <gtsam_unstable/slam/BetweenFactorEM.h>
|
|
|
|
template<T = {gtsam::Pose2}>
|
|
|
|
virtual class BetweenFactorEM : gtsam::NonlinearFactor {
|
|
|
|
BetweenFactorEM(size_t key1, size_t key2, const T& relativePose,
|
|
|
|
const gtsam::noiseModel::Gaussian* model_inlier, const gtsam::noiseModel::Gaussian* model_outlier,
|
|
|
|
double prior_inlier, double prior_outlier);
|
|
|
|
|
2013-08-30 06:43:09 +08:00
|
|
|
BetweenFactorEM(size_t key1, size_t key2, const T& relativePose,
|
|
|
|
const gtsam::noiseModel::Gaussian* model_inlier, const gtsam::noiseModel::Gaussian* model_outlier,
|
|
|
|
double prior_inlier, double prior_outlier, bool flag_bump_up_near_zero_probs);
|
|
|
|
|
2024-06-29 04:18:04 +08:00
|
|
|
gtsam::Vector whitenedError(const gtsam::Values& x);
|
|
|
|
gtsam::Vector unwhitenedError(const gtsam::Values& x);
|
|
|
|
gtsam::Vector calcIndicatorProb(const gtsam::Values& x);
|
2013-08-23 23:24:46 +08:00
|
|
|
gtsam::Pose2 measured(); // TODO: figure out how to output a template instead
|
|
|
|
void set_flag_bump_up_near_zero_probs(bool flag);
|
|
|
|
bool get_flag_bump_up_near_zero_probs() const;
|
|
|
|
|
2014-07-01 01:43:25 +08:00
|
|
|
void updateNoiseModels(const gtsam::Values& values, const gtsam::NonlinearFactorGraph& graph);
|
2024-06-29 04:18:04 +08:00
|
|
|
void updateNoiseModels_givenCovs(const gtsam::Values& values, gtsam::Matrix cov1, gtsam::Matrix cov2, gtsam::Matrix cov12);
|
|
|
|
gtsam::Matrix get_model_inlier_cov();
|
|
|
|
gtsam::Matrix get_model_outlier_cov();
|
2014-07-01 01:43:25 +08:00
|
|
|
|
2013-08-23 23:24:46 +08:00
|
|
|
void serializable() const; // enabling serialization functionality
|
|
|
|
};
|
|
|
|
|
|
|
|
#include <gtsam_unstable/slam/TransformBtwRobotsUnaryFactorEM.h>
|
|
|
|
template<T = {gtsam::Pose2}>
|
|
|
|
virtual class TransformBtwRobotsUnaryFactorEM : gtsam::NonlinearFactor {
|
|
|
|
TransformBtwRobotsUnaryFactorEM(size_t key, const T& relativePose, size_t keyA, size_t keyB,
|
|
|
|
const gtsam::Values& valA, const gtsam::Values& valB,
|
|
|
|
const gtsam::noiseModel::Gaussian* model_inlier, const gtsam::noiseModel::Gaussian* model_outlier,
|
|
|
|
double prior_inlier, double prior_outlier);
|
|
|
|
|
2013-08-29 00:56:57 +08:00
|
|
|
TransformBtwRobotsUnaryFactorEM(size_t key, const T& relativePose, size_t keyA, size_t keyB,
|
|
|
|
const gtsam::Values& valA, const gtsam::Values& valB,
|
|
|
|
const gtsam::noiseModel::Gaussian* model_inlier, const gtsam::noiseModel::Gaussian* model_outlier,
|
2013-08-30 06:43:09 +08:00
|
|
|
double prior_inlier, double prior_outlier, bool flag_bump_up_near_zero_probs, bool start_with_M_step);
|
2013-08-29 00:56:57 +08:00
|
|
|
|
2024-06-29 04:18:04 +08:00
|
|
|
gtsam::Vector whitenedError(const gtsam::Values& x);
|
|
|
|
gtsam::Vector unwhitenedError(const gtsam::Values& x);
|
|
|
|
gtsam::Vector calcIndicatorProb(const gtsam::Values& x);
|
2013-08-23 23:24:46 +08:00
|
|
|
void setValAValB(const gtsam::Values valA, const gtsam::Values valB);
|
2013-08-08 23:12:21 +08:00
|
|
|
|
2014-09-10 05:22:59 +08:00
|
|
|
void updateNoiseModels(const gtsam::Values& values, const gtsam::NonlinearFactorGraph& graph);
|
2024-06-29 04:18:04 +08:00
|
|
|
void updateNoiseModels_givenCovs(const gtsam::Values& values, gtsam::Matrix cov1, gtsam::Matrix cov2, gtsam::Matrix cov12);
|
|
|
|
gtsam::Matrix get_model_inlier_cov();
|
|
|
|
gtsam::Matrix get_model_outlier_cov();
|
2014-09-10 05:22:59 +08:00
|
|
|
|
2013-08-08 23:12:21 +08:00
|
|
|
void serializable() const; // enabling serialization functionality
|
|
|
|
};
|
2012-07-14 05:55:05 +08:00
|
|
|
|
2014-02-05 03:13:25 +08:00
|
|
|
#include <gtsam_unstable/slam/TransformBtwRobotsUnaryFactor.h>
|
|
|
|
template<T = {gtsam::Pose2}>
|
|
|
|
virtual class TransformBtwRobotsUnaryFactor : gtsam::NonlinearFactor {
|
|
|
|
TransformBtwRobotsUnaryFactor(size_t key, const T& relativePose, size_t keyA, size_t keyB,
|
|
|
|
const gtsam::Values& valA, const gtsam::Values& valB,
|
|
|
|
const gtsam::noiseModel::Gaussian* model);
|
|
|
|
|
2024-06-29 04:18:04 +08:00
|
|
|
gtsam::Vector whitenedError(const gtsam::Values& x);
|
|
|
|
gtsam::Vector unwhitenedError(const gtsam::Values& x);
|
2014-02-05 03:13:25 +08:00
|
|
|
void setValAValB(const gtsam::Values valA, const gtsam::Values valB);
|
|
|
|
|
|
|
|
void serializable() const; // enabling serialization functionality
|
|
|
|
};
|
|
|
|
|
2013-09-14 05:00:48 +08:00
|
|
|
#include <gtsam_unstable/slam/SmartRangeFactor.h>
|
|
|
|
virtual class SmartRangeFactor : gtsam::NoiseModelFactor {
|
|
|
|
SmartRangeFactor(double s);
|
|
|
|
|
|
|
|
void addRange(size_t key, double measuredRange);
|
|
|
|
gtsam::Point2 triangulate(const gtsam::Values& x) const;
|
2017-03-19 03:52:08 +08:00
|
|
|
//void print(string s) const;
|
2013-09-14 05:00:48 +08:00
|
|
|
|
|
|
|
};
|
|
|
|
|
2015-07-13 03:06:55 +08:00
|
|
|
#include <gtsam/sam/RangeFactor.h>
|
2012-07-14 05:55:05 +08:00
|
|
|
template<POSE, POINT>
|
2017-03-19 03:52:08 +08:00
|
|
|
virtual class RangeFactor : gtsam::NoiseModelFactor {
|
2012-10-02 22:40:07 +08:00
|
|
|
RangeFactor(size_t key1, size_t key2, double measured, const gtsam::noiseModel::Base* noiseModel);
|
2013-06-20 01:50:07 +08:00
|
|
|
|
|
|
|
void serializable() const; // enabling serialization functionality
|
2012-07-14 05:55:05 +08:00
|
|
|
};
|
|
|
|
|
|
|
|
typedef gtsam::RangeFactor<gtsam::PoseRTV, gtsam::PoseRTV> RangeFactorRTV;
|
|
|
|
|
2020-03-19 05:28:40 +08:00
|
|
|
#include <gtsam_unstable/geometry/Event.h>
|
|
|
|
class Event {
|
|
|
|
Event();
|
|
|
|
Event(double t, const gtsam::Point3& p);
|
|
|
|
Event(double t, double x, double y, double z);
|
|
|
|
double time() const;
|
|
|
|
gtsam::Point3 location() const;
|
|
|
|
double height() const;
|
|
|
|
void print(string s) const;
|
|
|
|
};
|
|
|
|
|
|
|
|
class TimeOfArrival {
|
|
|
|
TimeOfArrival();
|
|
|
|
TimeOfArrival(double speed);
|
|
|
|
double measure(const gtsam::Event& event, const gtsam::Point3& sensor) const;
|
|
|
|
};
|
|
|
|
|
|
|
|
#include <gtsam_unstable/slam/TOAFactor.h>
|
|
|
|
virtual class TOAFactor : gtsam::NonlinearFactor {
|
|
|
|
// For now, because of overload issues, we only expose constructor with known sensor coordinates:
|
|
|
|
TOAFactor(size_t key1, gtsam::Point3 sensor, double measured,
|
|
|
|
const gtsam::noiseModel::Base* noiseModel);
|
|
|
|
static void InsertEvent(size_t key, const gtsam::Event& event, gtsam::Values* values);
|
|
|
|
};
|
2012-07-14 05:55:05 +08:00
|
|
|
|
|
|
|
#include <gtsam/nonlinear/NonlinearEquality.h>
|
|
|
|
template<T = {gtsam::PoseRTV}>
|
2017-03-19 03:52:08 +08:00
|
|
|
virtual class NonlinearEquality : gtsam::NoiseModelFactor {
|
2012-10-02 22:40:07 +08:00
|
|
|
// Constructor - forces exact evaluation
|
|
|
|
NonlinearEquality(size_t j, const T& feasible);
|
|
|
|
// Constructor - allows inexact evaluation
|
|
|
|
NonlinearEquality(size_t j, const T& feasible, double error_gain);
|
2013-06-20 01:50:07 +08:00
|
|
|
|
|
|
|
void serializable() const; // enabling serialization functionality
|
2012-07-14 05:55:05 +08:00
|
|
|
};
|
|
|
|
|
2012-07-23 02:49:07 +08:00
|
|
|
#include <gtsam_unstable/dynamics/IMUFactor.h>
|
2012-07-14 05:55:05 +08:00
|
|
|
template<POSE = {gtsam::PoseRTV}>
|
2017-03-19 03:52:08 +08:00
|
|
|
virtual class IMUFactor : gtsam::NoiseModelFactor {
|
2012-10-02 22:40:07 +08:00
|
|
|
/** Standard constructor */
|
2024-06-29 04:18:04 +08:00
|
|
|
IMUFactor(gtsam::Vector accel, gtsam::Vector gyro,
|
2012-10-02 22:40:07 +08:00
|
|
|
double dt, size_t key1, size_t key2, const gtsam::noiseModel::Base* model);
|
2012-07-14 05:55:05 +08:00
|
|
|
|
2012-10-02 22:40:07 +08:00
|
|
|
/** Full IMU vector specification */
|
2024-06-29 04:18:04 +08:00
|
|
|
IMUFactor(gtsam::Vector imu_vector,
|
2012-10-02 22:40:07 +08:00
|
|
|
double dt, size_t key1, size_t key2, const gtsam::noiseModel::Base* model);
|
2012-07-14 05:55:05 +08:00
|
|
|
|
2024-06-29 04:18:04 +08:00
|
|
|
gtsam::Vector gyro() const;
|
|
|
|
gtsam::Vector accel() const;
|
|
|
|
gtsam::Vector z() const;
|
2022-12-24 22:35:45 +08:00
|
|
|
|
|
|
|
template <I = {1, 2}>
|
|
|
|
size_t key() const;
|
2012-07-14 05:55:05 +08:00
|
|
|
};
|
|
|
|
|
2012-07-23 02:49:07 +08:00
|
|
|
#include <gtsam_unstable/dynamics/FullIMUFactor.h>
|
2012-07-14 05:55:05 +08:00
|
|
|
template<POSE = {gtsam::PoseRTV}>
|
2017-03-19 03:52:08 +08:00
|
|
|
virtual class FullIMUFactor : gtsam::NoiseModelFactor {
|
2012-10-02 22:40:07 +08:00
|
|
|
/** Standard constructor */
|
2024-06-29 04:18:04 +08:00
|
|
|
FullIMUFactor(gtsam::Vector accel, gtsam::Vector gyro,
|
2012-10-02 22:40:07 +08:00
|
|
|
double dt, size_t key1, size_t key2, const gtsam::noiseModel::Base* model);
|
2012-07-14 05:55:05 +08:00
|
|
|
|
2012-10-02 22:40:07 +08:00
|
|
|
/** Single IMU vector - imu = [accel, gyro] */
|
2024-06-29 04:18:04 +08:00
|
|
|
FullIMUFactor(gtsam::Vector imu,
|
2012-10-02 22:40:07 +08:00
|
|
|
double dt, size_t key1, size_t key2, const gtsam::noiseModel::Base* model);
|
2012-07-14 05:55:05 +08:00
|
|
|
|
2024-06-29 04:18:04 +08:00
|
|
|
gtsam::Vector gyro() const;
|
|
|
|
gtsam::Vector accel() const;
|
|
|
|
gtsam::Vector z() const;
|
2022-12-24 22:35:45 +08:00
|
|
|
|
|
|
|
template <I = {1, 2}>
|
|
|
|
size_t key() const;
|
2012-07-14 05:55:05 +08:00
|
|
|
};
|
|
|
|
|
2012-07-18 02:30:02 +08:00
|
|
|
#include <gtsam_unstable/dynamics/DynamicsPriors.h>
|
2012-07-14 05:55:05 +08:00
|
|
|
virtual class DHeightPrior : gtsam::NonlinearFactor {
|
2012-10-02 22:40:07 +08:00
|
|
|
DHeightPrior(size_t key, double height, const gtsam::noiseModel::Base* model);
|
2012-07-14 05:55:05 +08:00
|
|
|
};
|
|
|
|
|
|
|
|
virtual class DRollPrior : gtsam::NonlinearFactor {
|
2012-10-02 22:40:07 +08:00
|
|
|
/** allows for explicit roll parameterization - uses canonical coordinate */
|
|
|
|
DRollPrior(size_t key, double wx, const gtsam::noiseModel::Base* model);
|
|
|
|
/** Forces roll to zero */
|
|
|
|
DRollPrior(size_t key, const gtsam::noiseModel::Base* model);
|
2012-07-14 05:55:05 +08:00
|
|
|
};
|
|
|
|
|
|
|
|
virtual class VelocityPrior : gtsam::NonlinearFactor {
|
2024-06-29 04:18:04 +08:00
|
|
|
VelocityPrior(size_t key, gtsam::Vector vel, const gtsam::noiseModel::Base* model);
|
2012-07-14 05:55:05 +08:00
|
|
|
};
|
|
|
|
|
|
|
|
virtual class DGroundConstraint : gtsam::NonlinearFactor {
|
2012-10-02 22:40:07 +08:00
|
|
|
// Primary constructor allows for variable height of the "floor"
|
2012-07-14 05:55:05 +08:00
|
|
|
DGroundConstraint(size_t key, double height, const gtsam::noiseModel::Base* model);
|
2012-10-02 22:40:07 +08:00
|
|
|
// Fully specify vector - use only for debugging
|
2024-06-29 04:18:04 +08:00
|
|
|
DGroundConstraint(size_t key, gtsam::Vector constraint, const gtsam::noiseModel::Base* model);
|
2012-07-14 05:55:05 +08:00
|
|
|
};
|
|
|
|
|
2013-04-11 20:07:42 +08:00
|
|
|
#include <gtsam_unstable/dynamics/VelocityConstraint3.h>
|
|
|
|
virtual class VelocityConstraint3 : gtsam::NonlinearFactor {
|
|
|
|
/** Standard constructor */
|
|
|
|
VelocityConstraint3(size_t key1, size_t key2, size_t velKey, double dt);
|
|
|
|
|
2024-06-29 04:18:04 +08:00
|
|
|
gtsam::Vector evaluateError(const double& x1, const double& x2, const double& v) const;
|
2013-04-11 20:07:42 +08:00
|
|
|
};
|
|
|
|
|
2013-04-16 05:31:47 +08:00
|
|
|
#include <gtsam_unstable/dynamics/Pendulum.h>
|
|
|
|
virtual class PendulumFactor1 : gtsam::NonlinearFactor {
|
|
|
|
/** Standard constructor */
|
|
|
|
PendulumFactor1(size_t k1, size_t k, size_t velKey, double dt);
|
|
|
|
|
2024-06-29 04:18:04 +08:00
|
|
|
gtsam::Vector evaluateError(const double& qk1, const double& qk, const double& v) const;
|
2013-04-16 05:31:47 +08:00
|
|
|
};
|
|
|
|
|
2017-03-19 03:52:08 +08:00
|
|
|
#include <gtsam_unstable/dynamics/Pendulum.h>
|
2013-04-16 05:31:47 +08:00
|
|
|
virtual class PendulumFactor2 : gtsam::NonlinearFactor {
|
|
|
|
/** Standard constructor */
|
|
|
|
PendulumFactor2(size_t vk1, size_t vk, size_t qKey, double dt, double L, double g);
|
|
|
|
|
2024-06-29 04:18:04 +08:00
|
|
|
gtsam::Vector evaluateError(const double& vk1, const double& vk, const double& q) const;
|
2013-04-16 05:31:47 +08:00
|
|
|
};
|
|
|
|
|
2013-04-17 03:07:59 +08:00
|
|
|
virtual class PendulumFactorPk : gtsam::NonlinearFactor {
|
|
|
|
/** Standard constructor */
|
|
|
|
PendulumFactorPk(size_t pk, size_t qk, size_t qk1, double h, double m, double r, double g, double alpha);
|
|
|
|
|
2024-06-29 04:18:04 +08:00
|
|
|
gtsam::Vector evaluateError(const double& pk, const double& qk, const double& qk1) const;
|
2013-04-17 03:07:59 +08:00
|
|
|
};
|
|
|
|
|
|
|
|
virtual class PendulumFactorPk1 : gtsam::NonlinearFactor {
|
|
|
|
/** Standard constructor */
|
|
|
|
PendulumFactorPk1(size_t pk1, size_t qk, size_t qk1, double h, double m, double r, double g, double alpha);
|
|
|
|
|
2024-06-29 04:18:04 +08:00
|
|
|
gtsam::Vector evaluateError(const double& pk1, const double& qk, const double& qk1) const;
|
2013-04-17 03:07:59 +08:00
|
|
|
};
|
|
|
|
|
2013-05-01 01:21:42 +08:00
|
|
|
#include <gtsam_unstable/dynamics/SimpleHelicopter.h>
|
2017-03-19 03:52:08 +08:00
|
|
|
virtual class Reconstruction : gtsam::NoiseModelFactor {
|
2013-05-01 01:21:42 +08:00
|
|
|
Reconstruction(size_t gKey1, size_t gKey, size_t xiKey, double h);
|
|
|
|
|
2024-06-29 04:18:04 +08:00
|
|
|
gtsam::Vector evaluateError(const gtsam::Pose3& gK1, const gtsam::Pose3& gK, gtsam::Vector xiK) const;
|
2013-05-01 01:21:42 +08:00
|
|
|
};
|
|
|
|
|
2017-03-19 03:52:08 +08:00
|
|
|
virtual class DiscreteEulerPoincareHelicopter : gtsam::NoiseModelFactor {
|
2013-05-01 01:21:42 +08:00
|
|
|
DiscreteEulerPoincareHelicopter(size_t xiKey, size_t xiKey_1, size_t gKey,
|
2024-06-29 04:18:04 +08:00
|
|
|
double h, gtsam::Matrix Inertia, gtsam::Vector Fu, double m);
|
2013-05-01 01:21:42 +08:00
|
|
|
|
2024-06-29 04:18:04 +08:00
|
|
|
gtsam::Vector evaluateError(gtsam::Vector xiK, gtsam::Vector xiK_1, const gtsam::Pose3& gK) const;
|
2013-05-01 01:21:42 +08:00
|
|
|
};
|
2013-04-17 03:07:59 +08:00
|
|
|
|
2012-08-03 03:57:10 +08:00
|
|
|
//*************************************************************************
|
2012-09-21 22:19:57 +08:00
|
|
|
// nonlinear
|
|
|
|
//*************************************************************************
|
2023-02-21 00:20:16 +08:00
|
|
|
#include <gtsam/nonlinear/FixedLagSmoother.h>
|
2019-03-08 03:25:05 +08:00
|
|
|
|
|
|
|
#include <gtsam_unstable/nonlinear/ConcurrentFilteringAndSmoothing.h>
|
|
|
|
virtual class ConcurrentFilter {
|
|
|
|
void print(string s) const;
|
|
|
|
bool equals(const gtsam::ConcurrentFilter& rhs, double tol) const;
|
|
|
|
};
|
|
|
|
|
|
|
|
virtual class ConcurrentSmoother {
|
|
|
|
void print(string s) const;
|
|
|
|
bool equals(const gtsam::ConcurrentSmoother& rhs, double tol) const;
|
|
|
|
};
|
|
|
|
|
|
|
|
// Synchronize function
|
|
|
|
void synchronize(gtsam::ConcurrentFilter& filter, gtsam::ConcurrentSmoother& smoother);
|
|
|
|
|
|
|
|
#include <gtsam_unstable/nonlinear/ConcurrentBatchFilter.h>
|
|
|
|
class ConcurrentBatchFilterResult {
|
|
|
|
size_t getIterations() const;
|
|
|
|
size_t getLambdas() const;
|
|
|
|
size_t getNonlinearVariables() const;
|
|
|
|
size_t getLinearVariables() const;
|
|
|
|
double getError() const;
|
|
|
|
};
|
|
|
|
|
|
|
|
virtual class ConcurrentBatchFilter : gtsam::ConcurrentFilter {
|
|
|
|
ConcurrentBatchFilter();
|
|
|
|
ConcurrentBatchFilter(const gtsam::LevenbergMarquardtParams& parameters);
|
|
|
|
|
|
|
|
gtsam::NonlinearFactorGraph getFactors() const;
|
|
|
|
gtsam::Values getLinearizationPoint() const;
|
|
|
|
gtsam::Ordering getOrdering() const;
|
|
|
|
gtsam::VectorValues getDelta() const;
|
|
|
|
|
|
|
|
gtsam::ConcurrentBatchFilterResult update();
|
|
|
|
gtsam::ConcurrentBatchFilterResult update(const gtsam::NonlinearFactorGraph& newFactors);
|
|
|
|
gtsam::ConcurrentBatchFilterResult update(const gtsam::NonlinearFactorGraph& newFactors, const gtsam::Values& newTheta);
|
|
|
|
gtsam::ConcurrentBatchFilterResult update(const gtsam::NonlinearFactorGraph& newFactors, const gtsam::Values& newTheta, const gtsam::KeyList& keysToMove);
|
|
|
|
gtsam::Values calculateEstimate() const;
|
|
|
|
};
|
|
|
|
|
|
|
|
#include <gtsam_unstable/nonlinear/ConcurrentBatchSmoother.h>
|
|
|
|
class ConcurrentBatchSmootherResult {
|
|
|
|
size_t getIterations() const;
|
|
|
|
size_t getLambdas() const;
|
|
|
|
size_t getNonlinearVariables() const;
|
|
|
|
size_t getLinearVariables() const;
|
|
|
|
double getError() const;
|
|
|
|
};
|
|
|
|
|
|
|
|
virtual class ConcurrentBatchSmoother : gtsam::ConcurrentSmoother {
|
|
|
|
ConcurrentBatchSmoother();
|
|
|
|
ConcurrentBatchSmoother(const gtsam::LevenbergMarquardtParams& parameters);
|
|
|
|
|
|
|
|
gtsam::NonlinearFactorGraph getFactors() const;
|
|
|
|
gtsam::Values getLinearizationPoint() const;
|
|
|
|
gtsam::Ordering getOrdering() const;
|
|
|
|
gtsam::VectorValues getDelta() const;
|
|
|
|
|
|
|
|
gtsam::ConcurrentBatchSmootherResult update();
|
|
|
|
gtsam::ConcurrentBatchSmootherResult update(const gtsam::NonlinearFactorGraph& newFactors);
|
|
|
|
gtsam::ConcurrentBatchSmootherResult update(const gtsam::NonlinearFactorGraph& newFactors, const gtsam::Values& newTheta);
|
|
|
|
gtsam::Values calculateEstimate() const;
|
|
|
|
};
|
2013-04-16 03:54:46 +08:00
|
|
|
|
2012-09-21 22:19:57 +08:00
|
|
|
//*************************************************************************
|
|
|
|
// slam
|
2012-08-03 03:57:10 +08:00
|
|
|
//*************************************************************************
|
2012-08-20 22:25:10 +08:00
|
|
|
#include <gtsam_unstable/slam/RelativeElevationFactor.h>
|
2017-03-19 03:52:08 +08:00
|
|
|
virtual class RelativeElevationFactor: gtsam::NoiseModelFactor {
|
2012-10-02 22:40:07 +08:00
|
|
|
RelativeElevationFactor();
|
|
|
|
RelativeElevationFactor(size_t poseKey, size_t pointKey, double measured,
|
|
|
|
const gtsam::noiseModel::Base* model);
|
2012-08-20 22:25:10 +08:00
|
|
|
|
2012-10-02 22:40:07 +08:00
|
|
|
double measured() const;
|
2017-03-19 03:52:08 +08:00
|
|
|
//void print(string s) const;
|
2012-08-20 22:25:10 +08:00
|
|
|
};
|
|
|
|
|
2012-09-19 01:48:18 +08:00
|
|
|
#include <gtsam_unstable/slam/DummyFactor.h>
|
|
|
|
virtual class DummyFactor : gtsam::NonlinearFactor {
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2012-10-02 22:40:07 +08:00
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DummyFactor(size_t key1, size_t dim1, size_t key2, size_t dim2);
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2012-09-19 01:48:18 +08:00
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};
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2013-05-08 21:23:39 +08:00
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#include <gtsam_unstable/slam/InvDepthFactorVariant1.h>
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2017-03-19 03:52:08 +08:00
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virtual class InvDepthFactorVariant1 : gtsam::NoiseModelFactor {
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2013-05-08 21:23:39 +08:00
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InvDepthFactorVariant1(size_t poseKey, size_t landmarkKey, const gtsam::Point2& measured, const gtsam::Cal3_S2* K, const gtsam::noiseModel::Base* model);
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};
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#include <gtsam_unstable/slam/InvDepthFactorVariant2.h>
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2017-03-19 03:52:08 +08:00
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virtual class InvDepthFactorVariant2 : gtsam::NoiseModelFactor {
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2013-05-08 21:23:39 +08:00
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InvDepthFactorVariant2(size_t poseKey, size_t landmarkKey, const gtsam::Point2& measured, const gtsam::Cal3_S2* K, const gtsam::Point3& referencePoint, const gtsam::noiseModel::Base* model);
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};
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#include <gtsam_unstable/slam/InvDepthFactorVariant3.h>
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2017-03-19 03:52:08 +08:00
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virtual class InvDepthFactorVariant3a : gtsam::NoiseModelFactor {
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2013-05-08 21:23:39 +08:00
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InvDepthFactorVariant3a(size_t poseKey, size_t landmarkKey, const gtsam::Point2& measured, const gtsam::Cal3_S2* K, const gtsam::noiseModel::Base* model);
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};
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2017-03-19 03:52:08 +08:00
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virtual class InvDepthFactorVariant3b : gtsam::NoiseModelFactor {
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2013-05-08 21:23:39 +08:00
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InvDepthFactorVariant3b(size_t poseKey1, size_t poseKey2, size_t landmarkKey, const gtsam::Point2& measured, const gtsam::Cal3_S2* K, const gtsam::noiseModel::Base* model);
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};
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2013-08-03 00:04:17 +08:00
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2013-05-21 07:28:38 +08:00
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#include <gtsam_unstable/slam/Mechanization_bRn2.h>
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class Mechanization_bRn2 {
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Mechanization_bRn2();
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2024-06-29 04:18:04 +08:00
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Mechanization_bRn2(gtsam::Rot3& initial_bRn, gtsam::Vector initial_x_g,
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gtsam::Vector initial_x_a);
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gtsam::Vector b_g(double g_e);
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2013-05-21 07:28:38 +08:00
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gtsam::Rot3 bRn();
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2024-06-29 04:18:04 +08:00
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gtsam::Vector x_g();
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gtsam::Vector x_a();
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static gtsam::Mechanization_bRn2 initialize(gtsam::Matrix U, gtsam::Matrix F, double g_e);
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gtsam::Mechanization_bRn2 correct(gtsam::Vector dx) const;
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gtsam::Mechanization_bRn2 integrate(gtsam::Vector u, double dt) const;
|
2017-03-19 03:52:08 +08:00
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//void print(string s) const;
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2013-05-21 07:28:38 +08:00
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};
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#include <gtsam_unstable/slam/AHRS.h>
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class AHRS {
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2024-06-29 04:18:04 +08:00
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AHRS(gtsam::Matrix U, gtsam::Matrix F, double g_e);
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2013-05-21 07:28:38 +08:00
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pair<gtsam::Mechanization_bRn2, gtsam::GaussianDensity*> initialize(double g_e);
|
2024-06-29 04:18:04 +08:00
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pair<gtsam::Mechanization_bRn2, gtsam::GaussianDensity*> integrate(const gtsam::Mechanization_bRn2& mech, gtsam::GaussianDensity* state, gtsam::Vector u, double dt);
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pair<gtsam::Mechanization_bRn2, gtsam::GaussianDensity*> aid(const gtsam::Mechanization_bRn2& mech, gtsam::GaussianDensity* state, gtsam::Vector f, bool Farrel);
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pair<gtsam::Mechanization_bRn2, gtsam::GaussianDensity*> aidGeneral(const gtsam::Mechanization_bRn2& mech, gtsam::GaussianDensity* state, gtsam::Vector f, gtsam::Vector f_expected, const gtsam::Rot3& increment);
|
2017-03-19 03:52:08 +08:00
|
|
|
//void print(string s) const;
|
2013-05-21 07:28:38 +08:00
|
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|
};
|
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|
2024-08-25 16:35:16 +08:00
|
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|
#include <gtsam_unstable/slam/PartialPriorFactor.h>
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template <T = {gtsam::Pose2, gtsam::Pose3}>
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|
virtual class PartialPriorFactor : gtsam::NoiseModelFactor {
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PartialPriorFactor(gtsam::Key key, size_t idx, double prior,
|
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|
|
const gtsam::noiseModel::Base* model);
|
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|
PartialPriorFactor(gtsam::Key key, const std::vector<size_t>& indices,
|
|
|
|
const gtsam::Vector& prior,
|
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|
|
const gtsam::noiseModel::Base* model);
|
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|
|
|
// enabling serialization functionality
|
|
|
|
void serialize() const;
|
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|
|
const gtsam::Vector& prior();
|
|
|
|
};
|
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|
2014-05-05 22:14:56 +08:00
|
|
|
// Tectonic SAM Factors
|
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|
|
|
|
|
|
#include <gtsam_unstable/slam/TSAMFactors.h>
|
2022-12-24 22:35:45 +08:00
|
|
|
//typedef gtsam::NoiseModelFactorN<gtsam::Pose2, gtsam::Point2> NLPosePose;
|
2014-05-05 22:14:56 +08:00
|
|
|
virtual class DeltaFactor : gtsam::NoiseModelFactor {
|
|
|
|
DeltaFactor(size_t i, size_t j, const gtsam::Point2& measured,
|
|
|
|
const gtsam::noiseModel::Base* noiseModel);
|
2017-03-19 03:52:08 +08:00
|
|
|
//void print(string s) const;
|
2014-05-05 22:14:56 +08:00
|
|
|
};
|
|
|
|
|
2022-12-24 22:35:45 +08:00
|
|
|
//typedef gtsam::NoiseModelFactorN<gtsam::Pose2, gtsam::Pose2, gtsam::Pose2,
|
2014-05-05 22:14:56 +08:00
|
|
|
// gtsam::Point2> NLPosePosePosePoint;
|
|
|
|
virtual class DeltaFactorBase : gtsam::NoiseModelFactor {
|
|
|
|
DeltaFactorBase(size_t b1, size_t i, size_t b2, size_t j,
|
|
|
|
const gtsam::Point2& measured, const gtsam::noiseModel::Base* noiseModel);
|
2017-03-19 03:52:08 +08:00
|
|
|
//void print(string s) const;
|
2014-05-05 22:14:56 +08:00
|
|
|
};
|
|
|
|
|
2022-12-24 22:35:45 +08:00
|
|
|
//typedef gtsam::NoiseModelFactorN<gtsam::Pose2, gtsam::Pose2, gtsam::Pose2,
|
2014-05-05 22:14:56 +08:00
|
|
|
// gtsam::Pose2> NLPosePosePosePose;
|
|
|
|
virtual class OdometryFactorBase : gtsam::NoiseModelFactor {
|
|
|
|
OdometryFactorBase(size_t b1, size_t i, size_t b2, size_t j,
|
|
|
|
const gtsam::Pose2& measured, const gtsam::noiseModel::Base* noiseModel);
|
2017-03-19 03:52:08 +08:00
|
|
|
//void print(string s) const;
|
2014-05-05 22:14:56 +08:00
|
|
|
};
|
|
|
|
|
2014-07-02 04:03:35 +08:00
|
|
|
#include <gtsam/geometry/Cal3DS2.h>
|
2014-08-13 03:54:12 +08:00
|
|
|
#include <gtsam_unstable/slam/ProjectionFactorPPP.h>
|
2023-05-04 17:11:45 +08:00
|
|
|
#include <gtsam/geometry/Cal3Fisheye.h>
|
2014-07-02 04:03:35 +08:00
|
|
|
template<POSE, LANDMARK, CALIBRATION>
|
2014-08-13 03:54:12 +08:00
|
|
|
virtual class ProjectionFactorPPP : gtsam::NoiseModelFactor {
|
|
|
|
ProjectionFactorPPP(const gtsam::Point2& measured, const gtsam::noiseModel::Base* noiseModel,
|
2014-07-02 04:03:35 +08:00
|
|
|
size_t poseKey, size_t transformKey, size_t pointKey, const CALIBRATION* k);
|
|
|
|
|
2014-08-13 03:54:12 +08:00
|
|
|
ProjectionFactorPPP(const gtsam::Point2& measured, const gtsam::noiseModel::Base* noiseModel,
|
2014-07-02 04:03:35 +08:00
|
|
|
size_t poseKey, size_t transformKey, size_t pointKey, const CALIBRATION* k, bool throwCheirality, bool verboseCheirality);
|
|
|
|
|
|
|
|
gtsam::Point2 measured() const;
|
|
|
|
CALIBRATION* calibration() const;
|
|
|
|
bool verboseCheirality() const;
|
|
|
|
bool throwCheirality() const;
|
|
|
|
|
|
|
|
// enabling serialization functionality
|
|
|
|
void serialize() const;
|
|
|
|
};
|
2014-08-13 03:54:12 +08:00
|
|
|
typedef gtsam::ProjectionFactorPPP<gtsam::Pose3, gtsam::Point3, gtsam::Cal3_S2> ProjectionFactorPPPCal3_S2;
|
|
|
|
typedef gtsam::ProjectionFactorPPP<gtsam::Pose3, gtsam::Point3, gtsam::Cal3DS2> ProjectionFactorPPPCal3DS2;
|
2023-05-04 17:11:45 +08:00
|
|
|
typedef gtsam::ProjectionFactorPPP<gtsam::Pose3, gtsam::Point3, gtsam::Cal3Fisheye> ProjectionFactorPPPCal3Fisheye;
|
2014-07-02 04:03:35 +08:00
|
|
|
|
2014-08-13 03:29:05 +08:00
|
|
|
#include <gtsam_unstable/slam/ProjectionFactorPPPC.h>
|
2014-07-02 04:03:35 +08:00
|
|
|
template<POSE, LANDMARK, CALIBRATION>
|
2014-08-13 03:29:05 +08:00
|
|
|
virtual class ProjectionFactorPPPC : gtsam::NoiseModelFactor {
|
|
|
|
ProjectionFactorPPPC(const gtsam::Point2& measured, const gtsam::noiseModel::Base* noiseModel,
|
2014-07-02 04:03:35 +08:00
|
|
|
size_t poseKey, size_t transformKey, size_t pointKey, size_t calibKey);
|
|
|
|
|
2014-08-13 03:29:05 +08:00
|
|
|
ProjectionFactorPPPC(const gtsam::Point2& measured, const gtsam::noiseModel::Base* noiseModel,
|
2014-07-02 04:03:35 +08:00
|
|
|
size_t poseKey, size_t transformKey, size_t pointKey, size_t calibKey, bool throwCheirality, bool verboseCheirality);
|
|
|
|
|
|
|
|
gtsam::Point2 measured() const;
|
|
|
|
bool verboseCheirality() const;
|
|
|
|
bool throwCheirality() const;
|
|
|
|
|
|
|
|
// enabling serialization functionality
|
|
|
|
void serialize() const;
|
|
|
|
};
|
2014-08-13 03:29:05 +08:00
|
|
|
typedef gtsam::ProjectionFactorPPPC<gtsam::Pose3, gtsam::Point3, gtsam::Cal3_S2> ProjectionFactorPPPCCal3_S2;
|
|
|
|
typedef gtsam::ProjectionFactorPPPC<gtsam::Pose3, gtsam::Point3, gtsam::Cal3DS2> ProjectionFactorPPPCCal3DS2;
|
2023-05-04 19:46:35 +08:00
|
|
|
typedef gtsam::ProjectionFactorPPPC<gtsam::Pose3, gtsam::Point3, gtsam::Cal3Fisheye> ProjectionFactorPPPCCal3Fisheye;
|
2014-07-02 04:03:35 +08:00
|
|
|
|
2022-04-05 13:51:03 +08:00
|
|
|
#include <gtsam_unstable/slam/ProjectionFactorRollingShutter.h>
|
|
|
|
virtual class ProjectionFactorRollingShutter : gtsam::NoiseModelFactor {
|
|
|
|
ProjectionFactorRollingShutter(const gtsam::Point2& measured, double alpha, const gtsam::noiseModel::Base* noiseModel,
|
|
|
|
size_t poseKey_a, size_t poseKey_b, size_t pointKey, const gtsam::Cal3_S2* K);
|
|
|
|
|
|
|
|
ProjectionFactorRollingShutter(const gtsam::Point2& measured, double alpha, const gtsam::noiseModel::Base* noiseModel,
|
|
|
|
size_t poseKey_a, size_t poseKey_b, size_t pointKey, const gtsam::Cal3_S2* K, gtsam::Pose3& body_P_sensor);
|
|
|
|
|
|
|
|
ProjectionFactorRollingShutter(const gtsam::Point2& measured, double alpha, const gtsam::noiseModel::Base* noiseModel,
|
|
|
|
size_t poseKey_a, size_t poseKey_b, size_t pointKey, const gtsam::Cal3_S2* K, bool throwCheirality,
|
|
|
|
bool verboseCheirality);
|
|
|
|
|
|
|
|
ProjectionFactorRollingShutter(const gtsam::Point2& measured, double alpha, const gtsam::noiseModel::Base* noiseModel,
|
|
|
|
size_t poseKey_a, size_t poseKey_b, size_t pointKey, const gtsam::Cal3_S2* K, bool throwCheirality,
|
|
|
|
bool verboseCheirality, gtsam::Pose3& body_P_sensor);
|
|
|
|
|
|
|
|
gtsam::Point2 measured() const;
|
|
|
|
double alpha() const;
|
|
|
|
gtsam::Cal3_S2* calibration() const;
|
|
|
|
bool verboseCheirality() const;
|
|
|
|
bool throwCheirality() const;
|
|
|
|
|
|
|
|
// enabling serialization functionality
|
|
|
|
void serialize() const;
|
|
|
|
};
|
|
|
|
|
2012-08-03 03:57:10 +08:00
|
|
|
} //\namespace gtsam
|