CMonteCarloLocalization3D.h

Go to the documentation of this file.

/* +------------------------------------------------------------------------+
   |                     Mobile Robot Programming Toolkit (MRPT)            |
   |                          http://www.mrpt.org/                          |
   |                                                                        |
   | Copyright (c) 2005-2018, Individual contributors, see AUTHORS file     |
   | See: http://www.mrpt.org/Authors - All rights reserved.                |
   | Released under BSD License. See details in http://www.mrpt.org/License |
   +------------------------------------------------------------------------+ */
#ifndef CMonteCarloLocalization3D_H
#define CMonteCarloLocalization3D_H

#include <mrpt/poses/CPose3DPDFParticles.h>
#include <mrpt/slam/PF_implementations_data.h>
#include <mrpt/slam/TMonteCarloLocalizationParams.h>
#include <mrpt/obs/obs_frwds.h>

namespace mrpt::slam
{
/** Declares a class that represents a Probability Density Function (PDF) over a
 * 3D pose (x,y,phi,yaw,pitch,roll), using a set of weighted samples.
 *
 *  This class also implements particle filtering for robot localization. See
 * the MRPT
 *   application "app/pf-localization" for an example of usage.
 *
 * \sa CMonteCarloLocalization2D, CPose2D, CPosePDF, CPoseGaussianPDF,
 * CParticleFilterCapable
 * \ingroup mrpt_slam_grp
 */
class CMonteCarloLocalization3D
    : public mrpt::poses::CPose3DPDFParticles,
      public PF_implementation<
          mrpt::math::TPose3D, CMonteCarloLocalization3D,
          mrpt::bayes::particle_storage_mode::VALUE>
{
   public:
    /** MCL parameters */
    TMonteCarloLocalizationParams options;

    /** Constructor
      * \param M The number of m_particles.
      */
    CMonteCarloLocalization3D(size_t M = 1);

    /** Update the m_particles, predicting the posterior of robot pose and map
     * after a movement command.
     *  This method has additional configuration parameters in "options".
     *  Performs the update stage of the RBPF, using the sensed CSensoryFrame:
     *
     *   \param action This is a pointer to CActionCollection, containing the
     * pose change the robot has been commanded.
     *   \param observation This must be a pointer to a CSensoryFrame object,
     * with robot sensed observations.
     *
     * \sa options
     */
    void prediction_and_update_pfStandardProposal(
        const mrpt::obs::CActionCollection* action,
        const mrpt::obs::CSensoryFrame* observation,
        const bayes::CParticleFilter::TParticleFilterOptions& PF_options);

    /** Update the m_particles, predicting the posterior of robot pose and map
     * after a movement command.
     *  This method has additional configuration parameters in "options".
     *  Performs the update stage of the RBPF, using the sensed CSensoryFrame:
     *
     *   \param Action This is a pointer to CActionCollection, containing the
     * pose change the robot has been commanded.
     *   \param observation This must be a pointer to a CSensoryFrame object,
     * with robot sensed observations.
     *
     * \sa options
     */
    void prediction_and_update_pfAuxiliaryPFStandard(
        const mrpt::obs::CActionCollection* action,
        const mrpt::obs::CSensoryFrame* observation,
        const bayes::CParticleFilter::TParticleFilterOptions& PF_options);

    /** Update the m_particles, predicting the posterior of robot pose and map
     * after a movement command.
     *  This method has additional configuration parameters in "options".
     *  Performs the update stage of the RBPF, using the sensed CSensoryFrame:
     *
     *   \param Action This is a pointer to CActionCollection, containing the
     * pose change the robot has been commanded.
     *   \param observation This must be a pointer to a CSensoryFrame object,
     * with robot sensed observations.
     *
     * \sa options
     */
    void prediction_and_update_pfAuxiliaryPFOptimal(
        const mrpt::obs::CActionCollection* action,
        const mrpt::obs::CSensoryFrame* observation,
        const bayes::CParticleFilter::TParticleFilterOptions& PF_options);

    /** \name Virtual methods that the PF_implementations assume exist.
        @{ */
    /** Return the robot pose for the i'th particle. is_valid is
     * always true in this class. */
    mrpt::math::TPose3D getLastPose(
        const size_t i, bool& is_valid_pose) const override;

    void PF_SLAM_implementation_custom_update_particle_with_new_pose(
        CParticleDataContent* particleData,
        const mrpt::math::TPose3D& newPose) const;

    // We'll redefine this one:
    void PF_SLAM_implementation_replaceByNewParticleSet(
        CParticleList& old_particles,
        const std::vector<mrpt::math::TPose3D>& newParticles,
        const std::vector<double>& newParticlesWeight,
        const std::vector<size_t>& newParticlesDerivedFromIdx) const;

    /** Evaluate the observation likelihood for one particle at a given location
     */
    double PF_SLAM_computeObservationLikelihoodForParticle(
        const mrpt::bayes::CParticleFilter::TParticleFilterOptions& PF_options,
        const size_t particleIndexForMap,
        const mrpt::obs::CSensoryFrame& observation,
        const mrpt::poses::CPose3D& x) const;
    /** @} */

};  // End of class def.

}
#endif