Forces the roll to a particular value - useful for flying robots Implied value is zero Dim: 1.
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| DRollPrior (Key key, double wx, const gtsam::SharedNoiseModel &model) |
| allows for explicit roll parameterization - uses canonical coordinate
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| DRollPrior (Key key, const gtsam::SharedNoiseModel &model) |
| Forces roll to zero.
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| PartialPriorFactor (Key key, size_t idx, double prior, const SharedNoiseModel &model) |
| Single Element Constructor: acts on a single parameter specified by idx.
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| PartialPriorFactor (Key key, const std::vector< size_t > &mask, const Vector &prior, const SharedNoiseModel &model) |
| Indices Constructor: specify the mask with a set of indices.
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virtual gtsam::NonlinearFactor::shared_ptr | clone () const |
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virtual void | print (const std::string &s, const KeyFormatter &keyFormatter=DefaultKeyFormatter) const |
| implement functions needed for Testable More...
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virtual bool | equals (const NonlinearFactor &expected, double tol=1e-9) const |
| equals
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Vector | evaluateError (const T &p, boost::optional< Matrix & > H=boost::none) const |
| implement functions needed to derive from Factor More...
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const Vector & | prior () const |
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const std::vector< bool > & | mask () const |
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const Matrix & | H () const |
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| NoiseModelFactor1 () |
| Default constructor for I/O only.
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| NoiseModelFactor1 (const SharedNoiseModel &noiseModel, Key key1) |
| Constructor. More...
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Key | key () const |
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virtual Vector | unwhitenedError (const Values &x, boost::optional< std::vector< Matrix > & > H=boost::none) const |
| Calls the 1-key specific version of evaluateError, which is pure virtual so must be implemented in the derived class.
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| NoiseModelFactor () |
| Default constructor for I/O only.
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virtual | ~NoiseModelFactor () |
| Destructor.
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template<typename CONTAINER > |
| NoiseModelFactor (const SharedNoiseModel &noiseModel, const CONTAINER &keys) |
| Constructor.
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virtual size_t | dim () const |
| get the dimension of the factor (number of rows on linearization)
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const SharedNoiseModel & | noiseModel () const |
| access to the noise model
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Vector | whitenedError (const Values &c) const |
| Vector of errors, whitened This is the raw error, i.e., i.e. More...
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virtual double | error (const Values &c) const |
| Calculate the error of the factor. More...
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boost::shared_ptr< GaussianFactor > | linearize (const Values &x) const |
| Linearize a non-linearFactorN to get a GaussianFactor, \( Ax-b \approx h(x+\delta x)-z = h(x) + A \delta x - z \) Hence \( b = z - h(x) = - \mathtt{error\_vector}(x) \).
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