CPose3DPDFGaussian.h

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/* +------------------------------------------------------------------------+
   |                     Mobile Robot Programming Toolkit (MRPT)            |
   |                          https://www.mrpt.org/                         |
   |                                                                        |
   | Copyright (c) 2005-2019, Individual contributors, see AUTHORS file     |
   | See: https://www.mrpt.org/Authors - All rights reserved.               |
   | Released under BSD License. See: https://www.mrpt.org/License          |
   +------------------------------------------------------------------------+ */
#pragma once

#include <mrpt/poses/CPose3D.h>
#include <mrpt/poses/CPose3DPDF.h>

namespace mrpt
{
namespace poses
{
class CPosePDF;
class CPosePDFGaussian;
class CPose3DQuatPDFGaussian;

/** Declares a class that represents a Probability Density function (PDF) of a
 * 3D pose \f$ p(\mathbf{x}) = [x ~ y ~ z ~ yaw ~ pitch ~ roll]^t \f$.
 *
 *   This class implements that PDF using a mono-modal Gaussian distribution.
 * See mrpt::poses::CPose3DPDF for more details.
 *
 *  Uncertainty of pose composition operations (\f$ y = x \oplus u \f$) is
 * implemented in the method "CPose3DPDFGaussian::operator+=".
 *
 *  For further details on implemented methods and the theory behind them,
 *  see <a
 * href="http://www.mrpt.org/6D_poses:equivalences_compositions_and_uncertainty"
 * >this report</a>.
 *
 * \sa CPose3D, CPose3DPDF, CPose3DPDFParticles
 * \ingroup poses_pdf_grp
 */
class CPose3DPDFGaussian : public CPose3DPDF
{
    DEFINE_SERIALIZABLE(CPose3DPDFGaussian)

   protected:
    /** Assures the symmetry of the covariance matrix (eventually certain
     * operations in the math-coprocessor lead to non-symmetric matrixes!)
     */
    void enforceCovSymmetry();

   public:
    /** Default constructor
     */
    CPose3DPDFGaussian();

    /** Constructor
     */
    explicit CPose3DPDFGaussian(const CPose3D& init_Mean);

    /** Uninitialized constructor: leave all fields uninitialized - Call with
     * UNINITIALIZED_POSE as argument
     */
    CPose3DPDFGaussian(TConstructorFlags_Poses constructor_dummy_param);

    /** Constructor  */
    CPose3DPDFGaussian(
        const CPose3D& init_Mean, const mrpt::math::CMatrixDouble66& init_Cov);

    /** Constructor from a Gaussian 2D pose PDF (sets to 0 the missing variables
     * z,pitch, and roll).
     */
    explicit CPose3DPDFGaussian(const CPosePDFGaussian& o);

    /** Constructor from a 6D pose PDF described as a Quaternion
     */
    explicit CPose3DPDFGaussian(const CPose3DQuatPDFGaussian& o);

    /** The mean value
     */
    CPose3D mean;

    /** The 6x6 covariance matrix
     */
    mrpt::math::CMatrixDouble66 cov;

    inline const CPose3D& getPoseMean() const { return mean; }
    inline CPose3D& getPoseMean() { return mean; }
    /** Returns an estimate of the pose, (the mean, or mathematical expectation
     * of the PDF).
     * \sa getCovariance
     */
    void getMean(CPose3D& mean_pose) const override { mean_pose = mean; }
    /** Returns an estimate of the pose covariance matrix (6x6 cov matrix) and
     * the mean, both at once.
     * \sa getMean
     */
    std::tuple<cov_mat_t, type_value> getCovarianceAndMean() const override
    {
        return {this->cov, this->mean};
    }

    void asString(std::string& s) const;
    inline std::string asString() const
    {
        std::string s;
        asString(s);
        return s;
    }

    /** Copy operator, translating if necesary (for example, between particles
     * and gaussian representations)
     */
    void copyFrom(const CPose3DPDF& o) override;

    /** Copy operator, translating if necesary (for example, between particles
     * and gaussian representations)
     */
    void copyFrom(const CPosePDF& o);

    /** Copy from a 6D pose PDF described as a Quaternion
     */
    void copyFrom(const CPose3DQuatPDFGaussian& o);

    /** Save the PDF to a text file, containing the 3D pose in the first line,
     * then the covariance matrix in next 3 lines.
     */
    bool saveToTextFile(const std::string& file) const override;

    /** this = p (+) this. This can be used to convert a PDF from local
     * coordinates to global, providing the point (newReferenceBase) from which
     *   "to project" the current pdf. Result PDF substituted the currently
     * stored one in the object.
     */
    void changeCoordinatesReference(const CPose3D& newReferenceBase) override;

    /** Draws a single sample from the distribution
     */
    void drawSingleSample(CPose3D& outPart) const override;

    /** Draws a number of samples from the distribution, and saves as a list of
     * 1x6 vectors, where each row contains a (x,y,phi) datum.
     */
    void drawManySamples(
        size_t N,
        std::vector<mrpt::math::CVectorDouble>& outSamples) const override;

    /** Bayesian fusion of two points gauss. distributions, then save the result
     *in this object.
     *  The process is as follows:<br>
     *      - (x1,S1): Mean and variance of the p1 distribution.
     *      - (x2,S2): Mean and variance of the p2 distribution.
     *      - (x,S): Mean and variance of the resulting distribution.
     *
     *    S = (S1<sup>-1</sup> + S2<sup>-1</sup>)<sup>-1</sup>;
     *    x = S * ( S1<sup>-1</sup>*x1 + S2<sup>-1</sup>*x2 );
     */
    void bayesianFusion(const CPose3DPDF& p1, const CPose3DPDF& p2) override;

    /** Returns a new PDF such as: NEW_PDF = (0,0,0) - THIS_PDF
     */
    void inverse(CPose3DPDF& o) const override;

    /** Unary - operator, returns the PDF of the inverse pose.  */
    inline CPose3DPDFGaussian operator-() const
    {
        CPose3DPDFGaussian p(UNINITIALIZED_POSE);
        this->inverse(p);
        return p;
    }

    /** Makes: thisPDF = thisPDF + Ap, where "+" is pose composition (both the
     * mean, and the covariance matrix are updated).
     */
    void operator+=(const CPose3D& Ap);

    /** Makes: thisPDF = thisPDF + Ap, where "+" is pose composition (both the
     * mean, and the covariance matrix are updated).
     */
    void operator+=(const CPose3DPDFGaussian& Ap);

    /** Makes: thisPDF = thisPDF - Ap, where "-" is pose inverse composition
     * (both the mean, and the covariance matrix are updated).
     */
    void operator-=(const CPose3DPDFGaussian& Ap);

    /** Evaluates the PDF at a given point.
     */
    double evaluatePDF(const CPose3D& x) const;

    /** Evaluates the ratio PDF(x) / PDF(MEAN), that is, the normalized PDF in
     * the range [0,1].
     */
    double evaluateNormalizedPDF(const CPose3D& x) const;

    /** Computes the Mahalanobis distance between the centers of two Gaussians.
     *  The variables with a variance exactly equal to 0 are not taken into
     * account in the process, but
     *   "infinity" is returned if the corresponding elements are not exactly
     * equal.
     */
    double mahalanobisDistanceTo(const CPose3DPDFGaussian& theOther);

    /** Returns a 3x3 matrix with submatrix of the covariance for the variables
     * (x,y,yaw) only.
     */
    void getCovSubmatrix2D(mrpt::math::CMatrixDouble& out_cov) const;

};  // End of class def.
/** Pose composition for two 3D pose Gaussians  \sa CPose3DPDFGaussian::operator
 * +=  */
inline CPose3DPDFGaussian operator+(
    const CPose3DPDFGaussian& x, const CPose3DPDFGaussian& u)
{
    CPose3DPDFGaussian res(x);
    res += u;
    return res;
}

/** Pose composition for two 3D pose Gaussians  \sa CPose3DPDFGaussian::operator
 * -=  */
inline CPose3DPDFGaussian operator-(
    const CPose3DPDFGaussian& x, const CPose3DPDFGaussian& u)
{
    CPose3DPDFGaussian res(x);
    res -= u;
    return res;
}

/** Dumps the mean and covariance matrix to a text stream.
 */
std::ostream& operator<<(std::ostream& out, const CPose3DPDFGaussian& obj);

bool operator==(const CPose3DPDFGaussian& p1, const CPose3DPDFGaussian& p2);

}  // namespace poses

/** Global variables to change the run-time behaviour of some MRPT classes
 * within mrpt-base.
 *  See each variable for the description of what classes it affects.
 */
namespace global_settings
{
/** If set to true (false), a Scaled Unscented Transform is used instead of a
 *linear approximation with Jacobians.
 * Affects to:
 *      - CPose3DPDFGaussian::CPose3DPDFGaussian( const CPose3DQuatPDFGaussian
 *&o)
 */
void USE_SUT_QUAT2EULER_CONVERSION(bool value);
bool USE_SUT_QUAT2EULER_CONVERSION();
}  // namespace global_settings

}  // namespace mrpt