/*
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#ifndef ROBOT_LOCALIZATION_EKF_H
#define ROBOT_LOCALIZATION_EKF_H

#include "robot_localization/filter_base.h"

#include <fstream>
#include <vector>
#include <set>
#include <queue>

namespace RobotLocalization
{

//! @brief Extended Kalman filter class
//!
//! Implementation of an extended Kalman filter (EKF). This
//! class derives from FilterBase and overrides the predict()
//! and correct() methods in keeping with the discrete time
//! EKF algorithm.
//!
class Ekf: public FilterBase
{
  public:
    //! @brief Constructor for the Ekf class
    //!
    //! @param[in] args - Generic argument container (not used here, but
    //! needed so that the ROS filters can pass arbitrary arguments to
    //! templated filter types).
    //!
    explicit Ekf(std::vector<double> args = std::vector<double>());

    //! @brief Destructor for the Ekf class
    //!
    ~Ekf();

    //! @brief Carries out the correct step in the predict/update cycle.
    //!
    //! @param[in] measurement - The measurement to fuse with our estimate
    //!
    void correct(const Measurement &measurement);

    //! @brief Carries out the predict step in the predict/update cycle.
    //!
    //! Projects the state and error matrices forward using a model of
    //! the vehicle's motion.
    //!
    //! @param[in] referenceTime - The time at which the prediction is being made
    //! @param[in] delta - The time step over which to predict.
    //!
    void predict(const double referenceTime, const double delta);
};

}  // namespace RobotLocalization

#endif  // ROBOT_LOCALIZATION_EKF_H