32 m_particles.resize(M);
34 for (
auto &it : m_particles)
41 resetDeterministic( nullPose );
51 if (
this == &o)
return;
80 if (m_particles.empty())
87 const double w = exp(it->log_w);
109 double std_xy = 0,std_xz = 0,std_xya= 0,std_xp = 0,std_xr = 0;
110 double std_yz = 0,std_yya = 0,std_yp = 0,std_yr = 0;
111 double std_zya = 0,std_zp = 0,std_zr = 0;
112 double std_yap = 0,std_yar = 0;
116 double mean_yaw =
mean.yaw();
117 double mean_pitch =
mean.pitch();
118 double mean_roll =
mean.roll();
119 if (mean_yaw<0) mean_yaw +=
M_2PI;
120 if (mean_pitch<0) mean_pitch +=
M_2PI;
121 if (mean_roll<0) mean_roll +=
M_2PI;
124 if (m_particles.size()<2)
return;
137 double w = exp( it->log_w ) / W;
140 double err_yaw =
wrapToPi( fabs(it->d->yaw() - mean_yaw) );
141 double err_pitch =
wrapToPi( fabs(it->d->pitch() - mean_pitch) );
142 double err_roll =
wrapToPi( fabs(it->d->roll() - mean_roll) );
144 double err_x = it->d->x() -
mean.x();
145 double err_y = it->d->y() -
mean.y();
146 double err_z = it->d->z() -
mean.z();
152 vars[4] +=
square(err_pitch)*
w;
155 std_xy += err_x*err_y *
w;
156 std_xz += err_x*err_z *
w;
157 std_xya += err_x*err_yaw *
w;
158 std_xp += err_x*err_pitch *
w;
159 std_xr += err_x*err_roll *
w;
161 std_yz += err_y*err_z *
w;
162 std_yya += err_y*err_yaw *
w;
163 std_yp += err_y*err_pitch *
w;
164 std_yr += err_y*err_roll *
w;
166 std_zya += err_z*err_yaw *
w;
167 std_zp += err_z*err_pitch *
w;
168 std_zr += err_z*err_roll *
w;
170 std_yap += err_yaw*err_pitch *
w;
171 std_yar += err_yaw*err_roll *
w;
173 std_pr += err_pitch*err_roll *
w;
184 cov(1,0) =
cov(0,1) = std_xy;
185 cov(2,0) =
cov(0,2) = std_xz;
186 cov(3,0) =
cov(0,3) = std_xya;
187 cov(4,0) =
cov(0,4) = std_xp;
188 cov(5,0) =
cov(0,5) = std_xr;
190 cov(2,1) =
cov(1,2) = std_yz;
191 cov(3,1) =
cov(1,3) = std_yya;
192 cov(4,1) =
cov(1,4) = std_yp;
193 cov(5,1) =
cov(1,5) = std_yr;
195 cov(3,2) =
cov(2,3) = std_zya;
196 cov(4,2) =
cov(2,4) = std_zp;
197 cov(5,2) =
cov(2,5) = std_zr;
199 cov(4,3) =
cov(3,4) = std_yap;
200 cov(5,3) =
cov(3,5) = std_yar;
202 cov(5,4) =
cov(4,5) = std_pr;
218 writeParticlesToStream(out);
231 readParticlesFromStream(
in);
251 os::fprintf(f,
"%% x y z yaw[rad] pitch[rad] roll[rad] log_weight\n");
253 for (
const auto &
p : m_particles)
272 return *m_particles[i].d;
281 it->d->composeFrom(newReferenceBase, *it->d);
298 std::vector<CVectorDouble> &outSamples )
const 337 for (it=out->m_particles.begin();it!=out->m_particles.end();++it)
338 *it->d = zero - *it->d;
349 double max_w = -1e300;
351 for (it=m_particles.begin();it!=m_particles.end();++it)
353 if (it->log_w > max_w)
378 size_t particlesCount)
382 if (particlesCount>0)
385 m_particles.resize(particlesCount);
386 for (it = m_particles.begin(); it != m_particles.end(); ++it)
390 for (it=m_particles.begin();it!=m_particles.end();++it)
void drawManySamples(size_t N, std::vector< mrpt::math::CVectorDouble > &outSamples) const MRPT_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.
FILE BASE_IMPEXP * fopen(const char *fileName, const char *mode) MRPT_NO_THROWS
An OS-independent version of fopen.
void append(const mrpt::poses::CPose3D &p)
Adds a new pose to the computation.
Classes for serialization, sockets, ini-file manipulation, streams, list of properties-values, timewatch, extensions to STL.
void getMean(CPose3D &mean_pose) const MRPT_OVERRIDE
Returns an estimate of the pose, (the mean, or mathematical expectation of the PDF), computed as a weighted average over all m_particles.
This namespace provides a OS-independent interface to many useful functions: filenames manipulation...
int BASE_IMPEXP void BASE_IMPEXP fclose(FILE *f)
An OS-independent version of fclose.
#define IMPLEMENTS_SERIALIZABLE(class_name, base, NameSpace)
This must be inserted in all CSerializable classes implementation files.
#define THROW_EXCEPTION(msg)
void inverse(CPose3DPDF &o) const MRPT_OVERRIDE
Returns a new PDF such as: NEW_PDF = (0,0,0) - THIS_PDF.
Column vector, like Eigen::MatrixX*, but automatically initialized to zeros since construction...
int BASE_IMPEXP fprintf(FILE *fil, const char *format,...) MRPT_NO_THROWS MRPT_printf_format_check(2
An OS-independent version of fprintf.
const Scalar * const_iterator
GLubyte GLubyte GLubyte GLubyte w
T square(const T x)
Inline function for the square of a number.
void append(CPose3DPDFParticles &o)
Appends (add to the list) a set of m_particles to the existing ones, and then normalize weights...
This base class is used to provide a unified interface to files,memory buffers,..Please see the deriv...
CParticleList m_particles
The array of particles.
A numeric matrix of compile-time fixed size.
This base provides a set of functions for maths stuff.
#define MRPT_UNUSED_PARAM(a)
Can be used to avoid "not used parameters" warnings from the compiler.
Eigen::Matrix< typename MATRIX::Scalar, MATRIX::ColsAtCompileTime, MATRIX::ColsAtCompileTime > cov(const MATRIX &v)
Computes the covariance matrix from a list of samples in an NxM matrix, where each row is a sample...
void operator+=(const CPose3D &Ap)
Appends (pose-composition) a given pose "p" to each particle.
#define MRPT_THROW_UNKNOWN_SERIALIZATION_VERSION(__V)
For use in CSerializable implementations.
CPose3D getParticlePose(int i) const
Returns the pose of the i'th particle.
CPose3D getMostLikelyParticle() const
Returns the particle with the highest weight.
void drawSingleSample(CPose3D &outPart) const MRPT_OVERRIDE
Draws a single sample from the distribution (WARNING: weights are assumed to be normalized!) ...
GLsizei const GLchar ** string
T wrapToPi(T a)
Modifies the given angle to translate it into the ]-pi,pi] range.
Classes for 2D/3D geometry representation, both of single values and probability density distribution...
void getCovarianceAndMean(mrpt::math::CMatrixDouble66 &cov, CPose3D &mean_point) const MRPT_OVERRIDE
Returns an estimate of the pose covariance matrix (6x6 cov matrix) and the mean, both at once...
#define CLASS_ID(class_name)
Access to runtime class ID for a defined class name.
This is the global namespace for all Mobile Robot Programming Toolkit (MRPT) libraries.
Computes weighted and un-weighted averages of SE(3) poses.
void get_average(mrpt::poses::CPose3D &out_mean) const
Returns the average pose.
A class used to store a 3D pose (a 3D translation + a rotation in 3D).
void resetDeterministic(const CPose3D &location, size_t particlesCount=0)
Reset the PDF to a single point: All m_particles will be set exactly to the supplied pose...
void readFromStream(mrpt::utils::CStream &in, int version)
Introduces a pure virtual method responsible for loading from a CStream This can not be used directly...
void writeToStream(mrpt::utils::CStream &out, int *getVersion) const
Introduces a pure virtual method responsible for writing to a CStream.
void bayesianFusion(const CPose3DPDF &p1, const CPose3DPDF &p2) MRPT_OVERRIDE
Bayesian fusion.
Declares a class that represents a Probability Density function (PDF) of a 3D pose ...
void changeCoordinatesReference(const CPose3D &newReferenceBase) MRPT_OVERRIDE
this = p (+) this.
void saveToTextFile(const std::string &file) const MRPT_OVERRIDE
Save PDF's m_particles to a text file. In each line it will go: "x y z".
Declares a class that represents a Probability Density Function (PDF) of a 3D pose (6D actually)...
EIGEN_STRONG_INLINE double mean() const
Computes the mean of the entire matrix.
Declares a class that represents a Probability Density function (PDF) of a 3D pose.
void copyFrom(const CPose3DPDF &o) MRPT_OVERRIDE
Copy operator, translating if necesary (for example, between m_particles and gaussian representations...
virtual const mrpt::utils::TRuntimeClassId * GetRuntimeClass() const
Returns information about the class of an object in runtime.