CPose3DQuatPDFGaussianInf.h

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/* +------------------------------------------------------------------------+
   |                     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 CPose3DQuatPDFGaussianInf_H
#define CPose3DQuatPDFGaussianInf_H
 
#include <mrpt/poses/CPose3DQuatPDF.h>
#include <mrpt/poses/CPose3DPDF.h>
#include <mrpt/poses/CPosePDF.h>
#include <mrpt/math/CMatrixD.h>
 
namespace mrpt
{
namespace poses
{
class CPosePDFGaussian;
class CPose3DPDFGaussian;
 
/** Declares a class that represents a Probability Density function (PDF) of a
 * 3D pose using a quaternion \f$ p(\mathbf{x}) = [x ~ y ~ z ~ qr ~ qx ~ qy ~
 * qz]^\top \f$.
 *
 *   This class implements that PDF using a mono-modal Gaussian distribution
 * storing the information matrix instead of its inverse, the covariance matrix.
 *     See mrpt::poses::CPose3DQuatPDF for more details, or
 *     mrpt::poses::CPose3DPDF for classes based on Euler angles instead.
 *
 *  Uncertainty of pose composition operations (\f$ y = x \oplus u \f$) is
 * implemented in the methods "CPose3DQuatPDFGaussianInf::operator+=" and
 * "CPose3DQuatPDF::jacobiansPoseComposition".
 *
 *  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 CPose3DQuat, CPose3DQuatPDF, CPose3DPDF, CPose3DQuatPDFGaussian
 * \ingroup poses_pdf_grp
 */
class CPose3DQuatPDFGaussianInf : public CPose3DQuatPDF
{
        // This must be added to any CSerializable derived class:
        DEFINE_SERIALIZABLE(CPose3DQuatPDFGaussianInf)
        using self_t = CPose3DQuatPDFGaussianInf;
 
   public:
        /** Default constructor - set all values to zero. */
        CPose3DQuatPDFGaussianInf();
 
        /** Constructor which left all the member uninitialized, for using when
         * speed is critical - as argument, use UNINITIALIZED_QUATERNION. */
        CPose3DQuatPDFGaussianInf(
                mrpt::math::TConstructorFlags_Quaternions constructor_dummy_param);
 
        /** Constructor from a default mean value, information matrix equals to
         * zero. */
        explicit CPose3DQuatPDFGaussianInf(const CPose3DQuat& init_Mean);
 
        /** Constructor with mean and inverse covariance (information matrix). */
        CPose3DQuatPDFGaussianInf(
                const CPose3DQuat& init_Mean,
                const mrpt::math::CMatrixDouble77& init_CovInv);
 
        /** The mean value */
        CPose3DQuat mean;
        /** The 7x7 information matrix (the inverse of the covariance) */
        mrpt::math::CMatrixDouble77 cov_inv;
 
        inline const CPose3DQuat& getPoseMean() const { return mean; }
        inline CPose3DQuat& getPoseMean() { return mean; }
        /** Returns an estimate of the pose, (the mean, or mathematical expectation
         * of the PDF)  \sa getCovariance */
        void getMean(CPose3DQuat& mean_pose) const override { mean_pose = mean; }
        bool isInfType() const override { return true; }
        /** Returns an estimate of the pose covariance matrix (7x7 cov matrix) and
         * the mean, both at once. \sa getMean */
        void getCovarianceAndMean(
                mrpt::math::CMatrixDouble77& cov,
                CPose3DQuat& mean_point) const override
        {
                cov_inv.inv(cov);
                mean_point = mean;
        }
 
        /** Returns the information (inverse covariance) matrix (a STATE_LEN x
         * STATE_LEN matrix) \sa getMean, getCovarianceAndMean */
        void getInformationMatrix(mrpt::math::CMatrixDouble77& inf) const override
        {
                inf = cov_inv;
        }
 
        /** Copy operator, translating if necesary (for example, between particles
         * and gaussian representations) */
        void copyFrom(const CPose3DQuatPDF& o) override;
 
        /** Save the PDF to a text file, containing the 3D pose in the first line (x
         * y z qr qx qy qz), then the information matrix in the next 7 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 CPose3DQuat& newReferenceBase);
 
        /** 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(CPose3DQuat& outPart) const override;
        /** Draws a number of samples from the distribution, and saves as a list of
         * 1x7 vectors, where each row contains a (x,y,z,qr,qx,qy,qz) datum */
        void drawManySamples(
                size_t N,
                std::vector<mrpt::math::CVectorDouble>& outSamples) const override;
        /** Returns a new PDF such as: NEW_PDF = (0,0,0) - THIS_PDF */
        void inverse(CPose3DQuatPDF& o) const override;
 
        /** Unary - operator, returns the PDF of the inverse pose.  */
        inline CPose3DQuatPDFGaussianInf operator-() const
        {
                CPose3DQuatPDFGaussianInf p(mrpt::math::UNINITIALIZED_QUATERNION);
                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 CPose3DQuat& Ap);
        /** Makes: thisPDF = thisPDF + Ap, where "+" is pose composition (both the
         * mean, and the covariance matrix are updated) (see formulas in
         * jacobiansPoseComposition ). */
        void operator+=(const CPose3DQuatPDFGaussianInf& Ap);
        /** Makes: thisPDF = thisPDF - Ap, where "-" is pose inverse composition
         * (both the mean, and the covariance matrix are updated). */
        void operator-=(const CPose3DQuatPDFGaussianInf& Ap);
 
        /** Evaluates the PDF at a given point */
        double evaluatePDF(const CPose3DQuat& x) const;
        /** Evaluates the ratio PDF(x) / PDF(MEAN), that is, the normalized PDF in
         * the range [0,1] */
        double evaluateNormalizedPDF(const CPose3DQuat& x) const;
 
};  // End of class def.
 
bool operator==(
        const CPose3DQuatPDFGaussianInf& p1, const CPose3DQuatPDFGaussianInf& p2);
/** Pose composition for two 3D pose Gaussians  \sa
 * CPose3DQuatPDFGaussianInf::operator += */
CPose3DQuatPDFGaussianInf operator+(
        const CPose3DQuatPDFGaussianInf& x, const CPose3DQuatPDFGaussianInf& u);
/** Inverse pose composition for two 3D pose Gaussians  \sa
 * CPose3DQuatPDFGaussianInf::operator -= */
CPose3DQuatPDFGaussianInf operator-(
        const CPose3DQuatPDFGaussianInf& x, const CPose3DQuatPDFGaussianInf& u);
 
/** Dumps the mean and covariance matrix to a text stream. */
std::ostream& operator<<(
        std::ostream& out, const CPose3DQuatPDFGaussianInf& obj);
 
}  // End of namespace
 
}  // End of namespace
#endif