PriorFactor.h

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/* ----------------------------------------------------------------------------
 
 * GTSAM Copyright 2010, Georgia Tech Research Corporation,
 * Atlanta, Georgia 30332-0415
 * All Rights Reserved
 * Authors: Frank Dellaert, et al. (see THANKS for the full author list)
 
 * See LICENSE for the license information
 
 * -------------------------------------------------------------------------- */
 
#pragma once
 
#include <gtsam/nonlinear/NonlinearFactor.h>
#include <gtsam/base/Testable.h>
 
#include <string>
 
namespace gtsam {
 
  template<class VALUE>
  class PriorFactor: public NoiseModelFactor1<VALUE> {
 
  public:
    typedef VALUE T;
 
  private:
 
    typedef NoiseModelFactor1<VALUE> Base;
 
    VALUE prior_; 
    GTSAM_CONCEPT_TESTABLE_TYPE(T)
 
  public:
 
    typedef typename boost::shared_ptr<PriorFactor<VALUE> > shared_ptr;
 
    typedef PriorFactor<VALUE> This;
 
    PriorFactor() {}
 
    ~PriorFactor() override {}
 
    PriorFactor(Key key, const VALUE& prior, const SharedNoiseModel& model = nullptr) :
      Base(model, key), prior_(prior) {
    }
 
    PriorFactor(Key key, const VALUE& prior, const Matrix& covariance) :
      Base(noiseModel::Gaussian::Covariance(covariance), key), prior_(prior) {
    }
 
    gtsam::NonlinearFactor::shared_ptr clone() const override {
      return boost::static_pointer_cast<gtsam::NonlinearFactor>(
          gtsam::NonlinearFactor::shared_ptr(new This(*this))); }
 
    void print(const std::string& s,
       const KeyFormatter& keyFormatter = DefaultKeyFormatter) const override {
      std::cout << s << "PriorFactor on " << keyFormatter(this->key()) << "\n";
      traits<T>::Print(prior_, "  prior mean: ");
      if (this->noiseModel_)
        this->noiseModel_->print("  noise model: ");
      else
        std::cout << "no noise model" << std::endl;
    }
 
    bool equals(const NonlinearFactor& expected, double tol=1e-9) const override {
      const This* e = dynamic_cast<const This*> (&expected);
      return e != nullptr && Base::equals(*e, tol) && traits<T>::Equals(prior_, e->prior_, tol);
    }
 
    Vector evaluateError(const T& x, boost::optional<Matrix&> H = boost::none) const override {
      if (H) (*H) = Matrix::Identity(traits<T>::GetDimension(x),traits<T>::GetDimension(x));
      // manifold equivalent of z-x -> Local(x,z)
      // TODO(ASL) Add Jacobians.
      return -traits<T>::Local(x, prior_);
    }
 
    const VALUE & prior() const { return prior_; }
 
  private:
 
    friend class boost::serialization::access;
    template<class ARCHIVE>
    void serialize(ARCHIVE & ar, const unsigned int /*version*/) {
      ar & boost::serialization::make_nvp("NoiseModelFactor1",
          boost::serialization::base_object<Base>(*this));
      ar & BOOST_SERIALIZATION_NVP(prior_);
    }
 
        // Alignment, see https://eigen.tuxfamily.org/dox/group__TopicStructHavingEigenMembers.html
        enum { NeedsToAlign = (sizeof(T) % 16) == 0 };
  public:
        GTSAM_MAKE_ALIGNED_OPERATOR_NEW_IF(NeedsToAlign)
  };
 
  template<class VALUE>
  struct traits<PriorFactor<VALUE> > : public Testable<PriorFactor<VALUE> > {};
 
 
}