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gtsam
3.2.1
gtsam
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Go to the source code of this file.
Classes | |
| class | gtsam::noiseModel::Base |
| noiseModel::Base is the abstract base class for all noise models. More... | |
| class | gtsam::noiseModel::Gaussian |
| Gaussian implements the mathematical model |R*x|^2 = |y|^2 with R'*R=inv(Sigma) where y = whiten(x) = R*x x = unwhiten(x) = inv(R)*y as indeed |y|^2 = y'*y = x'*R'*R*x Various derived classes are available that are more efficient. More... | |
| class | gtsam::noiseModel::Diagonal |
| A diagonal noise model implements a diagonal covariance matrix, with the elements of the diagonal specified in a Vector. More... | |
| class | gtsam::noiseModel::Constrained |
| A Constrained constrained model is a specialization of Diagonal which allows some or all of the sigmas to be zero, forcing the error to be zero there. More... | |
| class | gtsam::noiseModel::Isotropic |
| An isotropic noise model corresponds to a scaled diagonal covariance To construct, use one of the static methods. More... | |
| class | gtsam::noiseModel::Unit |
| Unit: i.i.d. More... | |
| class | gtsam::noiseModel::mEstimator::Base |
| class | gtsam::noiseModel::mEstimator::Null |
| Null class is not robust so is a Gaussian ? More... | |
| class | gtsam::noiseModel::mEstimator::Fair |
| Fair implements the "Fair" robust error model (Zhang97ivc) More... | |
| class | gtsam::noiseModel::mEstimator::Huber |
| Huber implements the "Huber" robust error model (Zhang97ivc) More... | |
| class | gtsam::noiseModel::mEstimator::Cauchy |
| Cauchy implements the "Cauchy" robust error model (Lee2013IROS). More... | |
| class | gtsam::noiseModel::mEstimator::Tukey |
| Tukey implements the "Tukey" robust error model (Zhang97ivc) More... | |
| class | gtsam::noiseModel::mEstimator::Welsh |
| Welsh implements the "Welsh" robust error model (Zhang97ivc) More... | |
| class | gtsam::noiseModel::Robust |
| Base class for robust error models. More... | |
Namespaces | |
| gtsam | |
| Global functions in a separate testing namespace. | |
| gtsam::noiseModel | |
| All noise models live in the noiseModel namespace. | |
| gtsam::noiseModel::mEstimator | |
| The mEstimator namespace contains all robust error functions (not models) | |
Typedefs | |
| typedef noiseModel::Base::shared_ptr | gtsam::SharedNoiseModel |
| Note, deliberately not in noiseModel namespace. More... | |
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typedef noiseModel::Gaussian::shared_ptr | gtsam::SharedGaussian |
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typedef noiseModel::Diagonal::shared_ptr | gtsam::SharedDiagonal |
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typedef noiseModel::Constrained::shared_ptr | gtsam::SharedConstrained |
Functions | |
| boost::optional< Vector > | gtsam::noiseModel::checkIfDiagonal (const Matrix M) |