- Generated on Tue Jan 25 2022 13:36:48 for gtsam by
1.9.3
|
gtsam 4.1.1
gtsam
|
| ▼ gtsam | |
| ► base | |
| chartTesting.h | |
| cholesky.cpp | Efficient incomplete Cholesky on rank-deficient matrices, todo: constrained Cholesky |
| cholesky.h | Efficient incomplete Cholesky on rank-deficient matrices, todo: constrained Cholesky |
| concepts.h | |
| ConcurrentMap.h | |
| debug.cpp | Global debugging flags |
| debug.h | Global debugging flags |
| DSFMap.h | Allow for arbitrary type in DSF |
| DSFVector.cpp | Faster implementation for DSF, which uses vector rather than btree |
| DSFVector.h | A faster implementation for DSF, which uses vector rather than btree |
| FastDefaultAllocator.h | An easy way to control which allocator is used for Fast* collections |
| FastList.h | A thin wrapper around std::list that uses boost's fast_pool_allocator |
| FastMap.h | A thin wrapper around std::map that uses boost's fast_pool_allocator |
| FastSet.h | A thin wrapper around std::set that uses boost's fast_pool_allocator |
| FastVector.h | A thin wrapper around std::vector that uses a custom allocator |
| GenericValue.h | |
| Group.h | Concept check class for variable types with Group properties |
| Lie.h | Base class and basic functions for Lie types |
| LieMatrix.h | External deprecation warning, see deprecated/LieMatrix.h for details |
| lieProxies.h | Provides convenient mappings of common member functions for testing |
| LieScalar.h | External deprecation warning, see deprecated/LieScalar.h for details |
| LieVector.h | Deprecation warning for LieVector, see deprecated/LieVector.h for details |
| make_shared.h | Make_shared trampoline function to ensure proper alignment |
| Manifold.h | Base class and basic functions for Manifold types |
| Matrix.cpp | Matrix class |
| Matrix.h | Typedef and functions to augment Eigen's MatrixXd |
| numericalDerivative.h | Some functions to compute numerical derivatives |
| OptionalJacobian.h | Special class for optional Jacobian arguments |
| ProductLieGroup.h | Group product of two Lie Groups |
| serialization.h | Convenience functions for serializing data structures via boost.serialization |
| serializationTestHelpers.h | |
| SymmetricBlockMatrix.cpp | Access to matrices via blocks of pre-defined sizes |
| SymmetricBlockMatrix.h | Access to matrices via blocks of pre-defined sizes |
| Testable.h | Concept check for values that can be used in unit tests |
| TestableAssertions.h | Provides additional testing facilities for common data structures |
| testLie.h | |
| ThreadsafeException.h | Base exception type that uses tbb_allocator if GTSAM is compiled with TBB |
| timing.cpp | Timing utilities |
| timing.h | Timing utilities |
| treeTraversal-inst.h | |
| types.cpp | Functions for handling type information |
| types.h | Typedefs for easier changing of types |
| utilities.h | |
| Value.h | The base class for any variable that can be optimized or used in a factor |
| Vector.cpp | Typedef and functions to augment Eigen's Vectors |
| Vector.h | Typedef and functions to augment Eigen's VectorXd |
| VectorSpace.h | |
| VerticalBlockMatrix.cpp | A matrix with column blocks of pre-defined sizes |
| VerticalBlockMatrix.h | A matrix with column blocks of pre-defined sizes |
| WeightedSampler.h | Fast sampling without replacement |
| ► basis | |
| Basis.h | Compute an interpolating basis |
| BasisFactors.h | Factor definitions for various Basis functors |
| Chebyshev.cpp | Chebyshev basis decompositions |
| Chebyshev.h | Chebyshev basis decompositions |
| Chebyshev2.cpp | Chebyshev parameterizations on Chebyshev points of second kind |
| Chebyshev2.h | Pseudo-spectral parameterization for Chebyshev polynomials of the second kind |
| FitBasis.h | Fit a Basis using least-squares |
| Fourier.h | Fourier decomposition, see e.g |
| ParameterMatrix.h | |
| ► discrete | |
| AlgebraicDecisionTree.h | Algebraic Decision Trees |
| Assignment.h | An assignment from labels to a discrete value index (size_t) |
| DecisionTree-inl.h | |
| DecisionTree.h | Decision Tree for use in DiscreteFactors |
| DecisionTreeFactor.cpp | Discrete factor |
| DecisionTreeFactor.h | |
| DiscreteBayesNet.cpp | |
| DiscreteBayesNet.h | |
| DiscreteBayesTree.cpp | Discrete Bayes Tree, the result of eliminating a DiscreteJunctionTree |
| DiscreteBayesTree.h | Discrete Bayes Tree, the result of eliminating a DiscreteJunctionTree |
| DiscreteConditional.cpp | |
| DiscreteConditional.h | |
| DiscreteEliminationTree.cpp | |
| DiscreteEliminationTree.h | |
| DiscreteFactor.cpp | Discrete factor |
| DiscreteFactor.h | |
| DiscreteFactorGraph.cpp | |
| DiscreteFactorGraph.h | |
| DiscreteJunctionTree.cpp | |
| DiscreteJunctionTree.h | |
| DiscreteKey.h | Specialized key for discrete variables |
| DiscreteMarginals.h | A class for computing marginals in a DiscreteFactorGraph |
| Potentials.cpp | |
| Potentials.h | |
| Signature.cpp | Signatures for conditional densities |
| Signature.h | Signatures for conditional densities |
| ► geometry | |
| BearingRange.h | Bearing-Range product |
| Cal3.cpp | Common code for all calibration models |
| Cal3.h | Common code for all Calibration models |
| Cal3_S2.cpp | The most common 5DOF 3D->2D calibration |
| Cal3_S2.h | The most common 5DOF 3D->2D calibration |
| Cal3_S2Stereo.cpp | The most common 5DOF 3D->2D calibration + Stereo baseline |
| Cal3_S2Stereo.h | The most common 5DOF 3D->2D calibration + Stereo baseline |
| Cal3Bundler.cpp | |
| Cal3Bundler.h | Calibration used by Bundler |
| Cal3DS2.cpp | |
| Cal3DS2.h | Calibration of a camera with radial distortion, calculations in base class Cal3DS2_Base |
| Cal3DS2_Base.cpp | |
| Cal3DS2_Base.h | |
| Cal3Fisheye.cpp | |
| Cal3Fisheye.h | Calibration of a fisheye camera |
| Cal3Unified.cpp | |
| Cal3Unified.h | Unified Calibration Model, see Mei07icra for details |
| CalibratedCamera.cpp | Calibrated camera for which only pose is unknown |
| CalibratedCamera.h | Calibrated camera for which only pose is unknown |
| CameraSet.h | Base class to create smart factors on poses or cameras |
| concepts.h | Concept-checking macros for geometric objects Each macro instantiates a concept check structure, which includes a static function that will fail to compile if the concept does not pass |
| Cyclic.cpp | Cyclic group implementation |
| Cyclic.h | Cyclic group, i.e., the integers modulo N |
| EssentialMatrix.h | |
| Line3.h | 4 dimensional manifold of 3D lines |
| OrientedPlane3.h | |
| PinholeCamera.h | Base class for all pinhole cameras |
| PinholePose.h | Pinhole camera with known calibration |
| PinholeSet.h | A CameraSet of either CalibratedCamera, PinholePose, or PinholeCamera |
| Point2.cpp | 2D Point |
| Point2.h | 2D Point |
| Point3.cpp | 3D Point |
| Point3.h | 3D Point |
| Pose2.cpp | 2D Pose |
| Pose2.h | 2D Pose |
| Pose3.cpp | 3D Pose |
| Pose3.h | 3D Pose |
| Quaternion.h | Lie Group wrapper for Eigen Quaternions |
| Rot2.cpp | 2D Rotations |
| Rot2.h | 2D rotation |
| Rot3.cpp | Rotation, common code between Rotation matrix and Quaternion |
| Rot3.h | 3D rotation represented as a rotation matrix or quaternion |
| Rot3M.cpp | Rotation (internal: 3*3 matrix representation*) |
| Rot3Q.cpp | Rotation (internal: quaternion representation*) |
| Similarity3.cpp | Implementation of Similarity3 transform |
| Similarity3.h | Implementation of Similarity3 transform |
| SimpleCamera.cpp | A simple camera class with a Cal3_S2 calibration |
| SimpleCamera.h | A simple camera class with a Cal3_S2 calibration |
| SO3.cpp | 3*3 matrix representation of SO(3) |
| SO3.h | 3*3 matrix representation of SO(3) |
| SO4.cpp | 4*4 matrix representation of SO(4) |
| SO4.h | 4*4 matrix representation of SO(4) |
| SOn-inl.h | Template implementations for SO(n) |
| SOn.cpp | Definitions of dynamic specializations of SO(n) |
| SOn.h | N*N matrix representation of SO(N) |
| StereoCamera.h | A Stereo Camera based on two Simple Cameras |
| StereoPoint2.cpp | |
| StereoPoint2.h | A 2D stereo point (uL,uR,v) |
| triangulation.h | Functions for triangulation |
| Unit3.h | |
| ► inference | |
| BayesNet-inst.h | |
| BayesNet.h | Bayes network |
| BayesTree-inst.h | |
| BayesTree.cpp | Bayes Tree is a tree of cliques of a Bayes Chain |
| BayesTree.h | Bayes Tree is a tree of cliques of a Bayes Chain |
| BayesTreeCliqueBase-inst.h | Base class for cliques of a BayesTree |
| BayesTreeCliqueBase.h | Base class for cliques of a BayesTree |
| ClusterTree-inst.h | |
| ClusterTree.h | |
| Conditional-inst.h | |
| Conditional.h | Base class for conditional densities |
| EliminateableFactorGraph-inst.h | |
| EliminateableFactorGraph.h | Variable elimination algorithms for factor graphs |
| EliminationTree-inst.h | |
| EliminationTree.h | |
| Factor.cpp | The base class for all factors |
| Factor.h | The base class for all factors |
| FactorGraph-inst.h | |
| FactorGraph.h | Factor Graph Base Class |
| graph-inl.h | |
| graph.h | Graph algorithm using boost library |
| inference-inst.h | Contains generic inference algorithms that convert between templated graphical models, i.e., factor graphs, Bayes nets, and Bayes trees |
| inferenceExceptions.h | Exceptions that may be thrown by inference algorithms |
| ISAM-inst.h | |
| ISAM.h | Incremental update functionality (iSAM) for BayesTree |
| JunctionTree-inst.h | The junction tree, template bodies |
| JunctionTree.h | The junction tree |
| Key.h | |
| LabeledSymbol.h | |
| MetisIndex-inl.h | |
| MetisIndex.h | |
| Ordering.cpp | |
| Ordering.h | Variable ordering for the elimination algorithm |
| Symbol.cpp | |
| Symbol.h | |
| VariableIndex-inl.h | |
| VariableIndex.cpp | |
| VariableIndex.h | |
| VariableSlots.cpp | |
| VariableSlots.h | VariableSlots describes the structure of a combined factor in terms of where each block comes from in the source factors |
| ► linear | |
| AcceleratedPowerMethod.h | Accelerated power method for fast eigenvalue and eigenvector computation |
| BinaryJacobianFactor.h | A binary JacobianFactor specialization that uses fixed matrix math for speed |
| ConjugateGradientSolver.h | Implementation of Conjugate Gradient solver for a linear system |
| Errors.cpp | Factor Graph Values |
| Errors.h | Vector of errors |
| GaussianBayesNet.cpp | Chordal Bayes Net, the result of eliminating a factor graph |
| GaussianBayesNet.h | Chordal Bayes Net, the result of eliminating a factor graph |
| GaussianBayesTree-inl.h | Gaussian Bayes Tree, the result of eliminating a GaussianJunctionTree |
| GaussianBayesTree.cpp | Gaussian Bayes Tree, the result of eliminating a GaussianJunctionTree |
| GaussianBayesTree.h | Gaussian Bayes Tree, the result of eliminating a GaussianJunctionTree |
| GaussianConditional-inl.h | Conditional Gaussian Base class |
| GaussianConditional.cpp | Conditional Gaussian Base class |
| GaussianConditional.h | Conditional Gaussian Base class |
| GaussianDensity.cpp | A Gaussian Density |
| GaussianDensity.h | A Gaussian Density |
| GaussianEliminationTree.cpp | |
| GaussianEliminationTree.h | |
| GaussianFactor.cpp | A factor with a quadratic error function - a Gaussian |
| GaussianFactor.h | A factor with a quadratic error function - a Gaussian |
| GaussianFactorGraph.cpp | Linear Factor Graph where all factors are Gaussians |
| GaussianFactorGraph.h | Linear Factor Graph where all factors are Gaussians |
| GaussianISAM.h | |
| GaussianJunctionTree.cpp | |
| GaussianJunctionTree.h | |
| HessianFactor-inl.h | Contains the HessianFactor class, a general quadratic factor |
| HessianFactor.cpp | |
| HessianFactor.h | Contains the HessianFactor class, a general quadratic factor |
| iterative-inl.h | Iterative methods, template implementation |
| iterative.cpp | Iterative methods, implementation |
| iterative.h | Iterative methods, implementation |
| IterativeSolver.cpp | Some support classes for iterative solvers |
| IterativeSolver.h | Some support classes for iterative solvers |
| JacobianFactor-inl.h | |
| JacobianFactor.cpp | |
| JacobianFactor.h | |
| KalmanFilter.cpp | Simple linear Kalman filter |
| KalmanFilter.h | Simple linear Kalman filter |
| linearAlgorithms-inst.h | Templated algorithms that are used in multiple places in linear |
| linearExceptions.cpp | Exceptions that may be thrown by linear solver components |
| linearExceptions.h | Exceptions that may be thrown by linear solver components |
| LossFunctions.h | |
| NoiseModel.cpp | |
| NoiseModel.h | |
| PCGSolver.h | |
| PowerMethod.h | Power method for fast eigenvalue and eigenvector computation |
| Preconditioner.h | |
| RegularHessianFactor.h | HessianFactor class with constant sized blocks |
| RegularJacobianFactor.h | JacobianFactor class with fixed sized blcoks |
| Sampler.cpp | Sampling from a diagonal NoiseModel |
| Sampler.h | Sampling from a NoiseModel |
| Scatter.cpp | |
| Scatter.h | Maps global variable indices to slot indices |
| SparseEigen.h | Utilities for creating Eigen sparse matrices (gtsam::SparseEigen) |
| SubgraphBuilder.cpp | |
| SubgraphBuilder.h | |
| SubgraphPreconditioner.cpp | |
| SubgraphPreconditioner.h | |
| SubgraphSolver.cpp | Subgraph Solver from IROS 2010 |
| SubgraphSolver.h | Subgraph Solver from IROS 2010 |
| VectorValues.cpp | Implementations for VectorValues |
| VectorValues.h | Factor Graph Values |
| ► navigation | |
| AHRSFactor.cpp | |
| AHRSFactor.h | |
| AttitudeFactor.cpp | Implementation file for Attitude factor |
| AttitudeFactor.h | |
| CombinedImuFactor.cpp | |
| CombinedImuFactor.h | |
| ConstantVelocityFactor.h | Maintain a constant velocity motion model between two NavStates |
| expressions.h | Common expressions for solving navigation problems |
| GPSFactor.cpp | Implementation file for GPS factor |
| GPSFactor.h | Header file for GPS factor |
| ImuBias.cpp | |
| ImuBias.h | |
| ImuFactor.cpp | |
| ImuFactor.h | |
| MagFactor.h | Factors involving magnetometers |
| MagPoseFactor.h | |
| ManifoldPreintegration.cpp | |
| ManifoldPreintegration.h | |
| NavState.h | Navigation state composing of attitude, position, and velocity |
| PreintegratedRotation.cpp | |
| PreintegratedRotation.h | |
| PreintegrationBase.h | |
| PreintegrationParams.h | |
| Scenario.h | Simple class to test navigation scenarios |
| ScenarioRunner.h | Simple class to test navigation scenarios |
| TangentPreintegration.cpp | |
| TangentPreintegration.h | |
| ► nonlinear | |
| AdaptAutoDiff.h | Adaptor for Ceres style auto-differentiated functions |
| CustomFactor.cpp | Class to enable arbitrary factors with runtime swappable error function |
| CustomFactor.h | Class to enable arbitrary factors with runtime swappable error function |
| DoglegOptimizer.cpp | |
| DoglegOptimizer.h | |
| DoglegOptimizerImpl.h | Nonlinear factor graph optimizer using Powell's Dogleg algorithm (detail implementation) |
| Expression-inl.h | Internals for Expression.h, not for general consumption |
| Expression.h | Expressions for Block Automatic Differentiation |
| ExpressionFactor.h | |
| ExpressionFactorGraph.h | Factor graph that supports adding ExpressionFactors directly |
| expressions.h | Common expressions, both linear and non-linear |
| expressionTesting.h | Test harness methods for expressions |
| ExtendedKalmanFilter-inl.h | Class to perform generic Kalman Filtering using nonlinear factor graphs |
| ExtendedKalmanFilter.h | Class to perform generic Kalman Filtering using nonlinear factor graphs |
| factorTesting.h | Evaluate derivatives of a nonlinear factor numerically |
| FunctorizedFactor.h | |
| GaussNewtonOptimizer.cpp | |
| GaussNewtonOptimizer.h | |
| GncOptimizer.h | The GncOptimizer class |
| GncParams.h | |
| ISAM2-impl.cpp | Incremental update functionality (ISAM2) for BayesTree, with fluid relinearization |
| ISAM2-impl.h | Incremental update functionality (ISAM2) for BayesTree, with fluid relinearization |
| ISAM2.cpp | Incremental update functionality (ISAM2) for BayesTree, with fluid relinearization |
| ISAM2.h | Incremental update functionality (ISAM2) for BayesTree, with fluid relinearization |
| ISAM2Clique.cpp | Specialized iSAM2 Clique |
| ISAM2Clique.h | Specialized iSAM2 Clique |
| ISAM2Params.cpp | Parameters for iSAM 2 |
| ISAM2Params.h | Parameters for iSAM 2 |
| ISAM2Result.h | Class that stores detailed iSAM2 result |
| ISAM2UpdateParams.h | Class that stores extra params for ISAM2::update() |
| LevenbergMarquardtOptimizer.cpp | A nonlinear optimizer that uses the Levenberg-Marquardt trust-region scheme |
| LevenbergMarquardtOptimizer.h | A nonlinear optimizer that uses the Levenberg-Marquardt trust-region scheme |
| LevenbergMarquardtParams.cpp | Parameters for Levenberg-Marquardt trust-region scheme |
| LevenbergMarquardtParams.h | Parameters for Levenberg-Marquardt trust-region scheme |
| LinearContainerFactor.cpp | |
| LinearContainerFactor.h | Wrap Jacobian and Hessian linear factors to allow simple injection into a nonlinear graph |
| Marginals.cpp | |
| Marginals.h | A class for computing marginals in a NonlinearFactorGraph |
| NonlinearConjugateGradientOptimizer.cpp | Simple non-linear optimizer that solves using non-preconditioned CG |
| NonlinearConjugateGradientOptimizer.h | Simple non-linear optimizer that solves using non-preconditioned CG |
| NonlinearEquality.h | |
| nonlinearExceptions.h | Exceptions that may be thrown by nonlinear optimization components |
| NonlinearFactor.cpp | Nonlinear Factor base classes |
| NonlinearFactor.h | Non-linear factor base classes |
| NonlinearFactorGraph.cpp | Factor Graph Consisting of non-linear factors |
| NonlinearFactorGraph.h | Factor Graph consisting of non-linear factors |
| NonlinearISAM.h | |
| NonlinearOptimizer.cpp | Convergence functions not dependent on graph types |
| NonlinearOptimizer.h | Base class and parameters for nonlinear optimization algorithms |
| NonlinearOptimizerParams.cpp | Parameters for nonlinear optimization |
| NonlinearOptimizerParams.h | Parameters for nonlinear optimization |
| PriorFactor.h | |
| Symbol.h | Symbol.h was moved to inference directory, this header was retained for compatibility |
| utilities.h | Contains generic global functions designed particularly for the matlab interface |
| Values-inl.h | |
| Values.h | A non-templated config holding any types of Manifold-group elements |
| WhiteNoiseFactor.h | Binary white noise factor |
| ► sam | |
| BearingFactor.h | Serializable factor induced by a bearing measurement |
| BearingRangeFactor.h | Single factor contains both the bearing and the range to prevent handle to pair bearing and range factors |
| RangeFactor.h | Serializable factor induced by a range measurement |
| ► sfm | |
| BinaryMeasurement.h | Binary measurement represents a measurement between two keys in a graph. A binary measurement is similar to a BetweenFactor, except that it does not contain an error function. It is a measurement (along with a noise model) from one key to another. Note that the direction is important. A measurement from key1 to key2 is not the same as the same measurement from key2 to key1 |
| MFAS.cpp | Source file for the MFAS class |
| MFAS.h | MFAS class to solve Minimum Feedback Arc Set graph problem |
| ShonanAveraging.cpp | Shonan Averaging algorithm |
| ShonanAveraging.h | Shonan Averaging algorithm |
| ShonanFactor.h | Main factor type in Shonan averaging, on SO(n) pairs |
| ShonanGaugeFactor.h | Factor used in Shonan Averaging to clamp down gauge freedom |
| TranslationFactor.h | Binary factor for a relative translation direction measurement |
| TranslationRecovery.cpp | Source code for recovering translations when rotations are given |
| TranslationRecovery.h | Recovering translations in an epipolar graph when rotations are given |
| ► slam | |
| AntiFactor.h | |
| BearingFactor.h | |
| BearingRangeFactor.h | |
| BetweenFactor.h | |
| BoundingConstraint.h | Provides partially implemented constraints to implement bounds |
| dataset.cpp | Utility functions for loading datasets |
| dataset.h | Utility functions for loading datasets |
| EssentialMatrixConstraint.cpp | |
| EssentialMatrixConstraint.h | |
| EssentialMatrixFactor.h | |
| expressions.h | Common expressions for solving geometry/slam/sfm problems |
| FrobeniusFactor.cpp | Various factors that minimize some Frobenius norm |
| FrobeniusFactor.h | Various factors that minimize some Frobenius norm |
| GeneralSFMFactor.h | General SFM factor with an unknown calibration |
| InitializePose.h | Common code between lago.* (2D) and InitializePose3.* (3D) |
| InitializePose3.cpp | |
| InitializePose3.h | Initialize Pose3 in a factor graph |
| JacobianFactorQ.h | |
| JacobianFactorQR.h | |
| JacobianFactorSVD.h | |
| KarcherMeanFactor-inl.h | |
| KarcherMeanFactor.h | |
| lago.h | Initialize Pose2 in a factor graph using LAGO (Linear Approximation for Graph Optimization) |
| OrientedPlane3Factor.h | |
| PoseRotationPrior.h | Implements a prior on the rotation component of a pose |
| PoseTranslationPrior.h | Implements a prior on the translation component of a pose |
| PriorFactor.h | |
| ProjectionFactor.h | Reprojection of a LANDMARK to a 2D point |
| RangeFactor.h | |
| ReferenceFrameFactor.h | |
| RegularImplicitSchurFactor.h | A subclass of GaussianFactor specialized to structureless SFM |
| RotateFactor.h | |
| SmartFactorBase.h | Base class to create smart factors on poses or cameras |
| SmartFactorParams.h | |
| SmartProjectionFactor.h | Smart factor on cameras (pose + calibration) |
| SmartProjectionPoseFactor.h | Smart factor on poses, assuming camera calibration is fixed |
| SmartProjectionRigFactor.h | Smart factor on poses, assuming camera calibration is fixed |
| StereoFactor.h | |
| TriangulationFactor.h | |
| ► symbolic | |
| SymbolicBayesNet.cpp | |
| SymbolicBayesNet.h | |
| SymbolicBayesTree.h | |
| SymbolicConditional.cpp | |
| SymbolicConditional.h | |
| SymbolicEliminationTree.cpp | |
| SymbolicEliminationTree.h | |
| SymbolicFactor-inst.h | |
| SymbolicFactor.cpp | |
| SymbolicFactor.h | |
| SymbolicFactorGraph.cpp | |
| SymbolicFactorGraph.h | |
| SymbolicISAM.cpp | |
| SymbolicISAM.h | |
| SymbolicJunctionTree.cpp | |
| SymbolicJunctionTree.h | |
| global_includes.h | Included from all GTSAM files |
| precompiled_header.cpp | We need exactly one compilation unit that includes the precompiled headers |
| precompiled_header.h | > |
| ▼ gtsam_unstable | |
| ► base | |
| BTree.h | Purely functional binary tree |
| DSF.h | An implementation of Disjoint set forests (see CLR page 446 and up) |
| Dummy.h | Dummy class for testing MATLAB memory allocation |
| FixedVector.h | Extension of boost's bounded_vector to allow for fixed size operation |
| ► discrete | |
| AllDiff.h | |
| BinaryAllDiff.h | |
| Constraint.h | |
| CSP.h | |
| Domain.h | |
| Scheduler.h | |
| SingleValue.h | |
| ► dynamics | |
| DynamicsPriors.h | Priors to be used with dynamic systems (Specifically PoseRTV) |
| FullIMUFactor.h | Factor to express an IMU measurement between dynamic poses |
| IMUFactor.h | Factor to express an IMU measurement between dynamic poses |
| Pendulum.h | Three-way factors for the pendulum dynamics as in [Stern06siggraph] for (1) explicit Euler method, (2) implicit Euler method, and (3) sympletic Euler method |
| PoseRTV.cpp | |
| PoseRTV.h | Pose3 with translational velocity |
| SimpleHelicopter.h | |
| VelocityConstraint.h | Constraint enforcing the relationship between pose and velocity |
| VelocityConstraint3.h | A simple 3-way factor constraining double poses and velocity |
| ► linear | |
| ActiveSetSolver-inl.h | Implmentation of ActiveSetSolver |
| ActiveSetSolver.h | Active set method for solving LP, QP problems |
| EqualityFactorGraph.h | Factor graph of all LinearEquality factors |
| InequalityFactorGraph.h | Factor graph of all LinearInequality factors |
| InfeasibleInitialValues.h | Exception thrown when given Infeasible Initial Values |
| InfeasibleOrUnboundedProblem.h | Throw when the problem is either infeasible or unbounded |
| LinearCost.h | LinearCost derived from JacobianFactor to support linear cost functions c'x |
| LinearEquality.h | LinearEquality derived from Base with constrained noise model |
| LinearInequality.h | LinearInequality derived from Base with constrained noise model |
| LP.h | Struct used to hold a Linear Programming Problem |
| LPInitSolver.h | This finds a feasible solution for an LP problem |
| LPSolver.cpp | |
| LPSolver.h | Policy of ActiveSetSolver to solve Linear Programming Problems |
| QP.h | Factor graphs of a Quadratic Programming problem |
| QPInitSolver.h | This finds a feasible solution for a QP problem |
| QPSolver.cpp | |
| QPSolver.h | Policy of ActiveSetSolver to solve Quadratic Programming Problems |
| QPSParser.h | |
| QPSParserException.h | Exception thrown if there is an error parsing a QPS file |
| ► nonlinear | |
| BatchFixedLagSmoother.cpp | An LM-based fixed-lag smoother |
| BatchFixedLagSmoother.h | An LM-based fixed-lag smoother |
| ConcurrentBatchFilter.cpp | A Levenberg-Marquardt Batch Filter that implements the Concurrent Filtering and Smoothing interface |
| ConcurrentBatchFilter.h | A Levenberg-Marquardt Batch Filter that implements the Concurrent Filtering and Smoothing interface |
| ConcurrentBatchSmoother.cpp | A Levenberg-Marquardt Batch Smoother that implements the Concurrent Filtering and Smoothing interface |
| ConcurrentBatchSmoother.h | A Levenberg-Marquardt Batch Smoother that implements the Concurrent Filtering and Smoothing interface |
| ConcurrentFilteringAndSmoothing.cpp | Base classes for the 'filter' and 'smoother' portion of the Concurrent Filtering and Smoothing architecture, as well as an external synchronization function |
| ConcurrentFilteringAndSmoothing.h | Base classes for the 'filter' and 'smoother' portion of the Concurrent Filtering and Smoothing architecture, as well as an external synchronization function |
| ConcurrentIncrementalFilter.cpp | An iSAM2-based Filter that implements the Concurrent Filtering and Smoothing interface |
| ConcurrentIncrementalFilter.h | |
| ConcurrentIncrementalSmoother.cpp | An iSAM2-based Smoother that implements the Concurrent Filtering and Smoothing interface |
| ConcurrentIncrementalSmoother.h | An iSAM2-based Smoother that implements the Concurrent Filtering and Smoothing interface |
| FixedLagSmoother.cpp | The base class for different fixed-lag smoother implementations |
| FixedLagSmoother.h | Base class for a fixed-lag smoother |
| IncrementalFixedLagSmoother.cpp | An iSAM2-based fixed-lag smoother |
| IncrementalFixedLagSmoother.h | An iSAM2-based fixed-lag smoother |
| LinearizedFactor.cpp | A dummy factor that allows a linear factor to act as a nonlinear factor |
| LinearizedFactor.h | A dummy factor that allows a linear factor to act as a nonlinear factor |
| NonlinearClusterTree.h | |
| ► slam | |
| AHRS.h | |
| BetweenFactorEM.h | |
| BiasedGPSFactor.h | |
| DummyFactor.cpp | |
| DummyFactor.h | A simple factor that can be used to trick gtsam solvers into believing a graph is connected |
| EquivInertialNavFactor_GlobalVel.h | Equivalent inertial navigation factor (velocity in the global frame) |
| EquivInertialNavFactor_GlobalVel_NoBias.h | Equivalent inertial navigation factor (velocity in the global frame), without bias state |
| GaussMarkov1stOrderFactor.h | |
| InertialNavFactor_GlobalVelocity.h | Inertial navigation factor (velocity in the global frame) |
| InvDepthFactor3.h | Inverse Depth Factor based on Civera09tro, Montiel06rss |
| InvDepthFactorVariant1.h | Inverse Depth Factor based on Civera09tro, Montiel06rss |
| InvDepthFactorVariant2.h | Inverse Depth Factor based on Civera09tro, Montiel06rss |
| InvDepthFactorVariant3.h | Inverse Depth Factor based on Civera09tro, Montiel06rss |
| LocalOrientedPlane3Factor.h | |
| Mechanization_bRn2.h | |
| MultiProjectionFactor.h | |
| PartialPriorFactor.h | A simple prior factor that allows for setting a prior only on a part of linear parameters |
| PoseBetweenFactor.h | |
| PosePriorFactor.h | |
| PoseToPointFactor.h | |
| ProjectionFactorPPP.h | Derived from ProjectionFactor, but estimates body-camera transform in addition to body pose and 3D landmark |
| ProjectionFactorPPPC.h | Derived from ProjectionFactor, but estimates body-camera transform and calibration in addition to body pose and 3D landmark |
| ProjectionFactorRollingShutter.cpp | Basic projection factor for rolling shutter cameras |
| ProjectionFactorRollingShutter.h | Basic projection factor for rolling shutter cameras |
| RelativeElevationFactor.cpp | |
| RelativeElevationFactor.h | Factor representing a known relative altitude in global frame |
| serialization.cpp | |
| serialization.h | Global functions for performing serialization, designed for use with matlab |
| SmartProjectionPoseFactorRollingShutter.h | Smart projection factor on poses modeling rolling shutter effect with given readout time |
| SmartRangeFactor.h | A smart factor for range-only SLAM that does initialization and marginalization |
| SmartStereoProjectionFactor.h | Smart stereo factor on StereoCameras (pose) |
| SmartStereoProjectionFactorPP.h | Smart stereo factor on poses and extrinsic calibration |
| SmartStereoProjectionPoseFactor.cpp | Smart stereo factor on poses, assuming camera calibration is fixed |
| SmartStereoProjectionPoseFactor.h | Smart stereo factor on poses, assuming camera calibration is fixed |
| TOAFactor.h | "Time of Arrival" factor |
| TransformBtwRobotsUnaryFactor.h | Unary factor for determining transformation between given trajectories of two robots |
| TransformBtwRobotsUnaryFactorEM.h | Unary factor for determining transformation between given trajectories of two robots |
| TSAMFactors.h | TSAM 1 Factors, simpler than the hierarchical TSAM 2 |
1.9.3