IncrementalFixedLagSmoother.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
 
 * -------------------------------------------------------------------------- */
 
// \callgraph
#pragma once
 
#include <gtsam/nonlinear/FixedLagSmoother.h>
#include <gtsam/nonlinear/ISAM2.h>
#include "gtsam_unstable/dllexport.h"
 
namespace gtsam {
 
class GTSAM_UNSTABLE_EXPORT IncrementalFixedLagSmoother: public FixedLagSmoother {
 
public:
 
  typedef std::shared_ptr<IncrementalFixedLagSmoother> shared_ptr;
 
  IncrementalFixedLagSmoother(double smootherLag = 0.0,
      const ISAM2Params& parameters = DefaultISAM2Params()) :
      FixedLagSmoother(smootherLag), isam_(parameters) {
  }
 
  ~IncrementalFixedLagSmoother() override {
  }
 
  void print(const std::string& s = "IncrementalFixedLagSmoother:\n",
      const KeyFormatter& keyFormatter = DefaultKeyFormatter) const override;
 
  bool equals(const FixedLagSmoother& rhs, double tol = 1e-9) const override;
 
  Result update(const NonlinearFactorGraph& newFactors = NonlinearFactorGraph(),
                const Values& newTheta = Values(), //
                const KeyTimestampMap& timestamps = KeyTimestampMap(),
                const FactorIndices& factorsToRemove = FactorIndices()) override;
 
  Values calculateEstimate() const override {
    return isam_.calculateEstimate();
  }
 
  template<class VALUE>
  VALUE calculateEstimate(Key key) const {
    return isam_.calculateEstimate<VALUE>(key);
  }
 
  const ISAM2Params& params() const {
    return isam_.params();
  }
 
  const NonlinearFactorGraph& getFactors() const {
    return isam_.getFactorsUnsafe();
  }
 
  const Values& getLinearizationPoint() const {
    return isam_.getLinearizationPoint();
  }
 
  const VectorValues& getDelta() const {
    return isam_.getDelta();
  }
 
  Matrix marginalCovariance(Key key) const {
    return isam_.marginalCovariance(key);
  }
 
  const ISAM2Result& getISAM2Result() const{ return isamResult_; }
 
  const ISAM2& getISAM2() const { return isam_; }
 
protected:
 
  static ISAM2Params DefaultISAM2Params() {
    ISAM2Params params;
    params.findUnusedFactorSlots = true;
    return params;
  }
 
  ISAM2 isam_;
 
  ISAM2Result isamResult_;
 
  void eraseKeysBefore(double timestamp);
 
  void createOrderingConstraints(const KeyVector& marginalizableKeys,
      std::optional<FastMap<Key, int> >& constrainedKeys) const;
 
private:
  static void PrintKeySet(const std::set<Key>& keys, const std::string& label =
      "Keys:");
  static void PrintSymbolicFactor(const GaussianFactor::shared_ptr& factor);
  static void PrintSymbolicGraph(const GaussianFactorGraph& graph,
      const std::string& label = "Factor Graph:");
  static void PrintSymbolicTree(const gtsam::ISAM2& isam,
      const std::string& label = "Bayes Tree:");
  static void PrintSymbolicTreeHelper(
      const gtsam::ISAM2Clique::shared_ptr& clique, const std::string indent =
          "");
 
};
// IncrementalFixedLagSmoother
 
}