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CPose3DQuatPDFGaussianInf.cpp
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1 /* +------------------------------------------------------------------------+
2  | Mobile Robot Programming Toolkit (MRPT) |
3  | http://www.mrpt.org/ |
4  | |
5  | Copyright (c) 2005-2017, Individual contributors, see AUTHORS file |
6  | See: http://www.mrpt.org/Authors - All rights reserved. |
7  | Released under BSD License. See details in http://www.mrpt.org/License |
8  +------------------------------------------------------------------------+ */
9 
10 #include "base-precomp.h" // Precompiled headers
11 
13 #include <mrpt/utils/types_math.h> // for CMatrixF...
14 #include <stdio.h> // for size_t
15 #include <algorithm> // for move, max
16 #include <exception> // for exception
17 #include <new> // for operator...
18 #include <ostream> // for operator<<
19 #include <string> // for allocator
20 #include <vector> // for vector
21 #include <mrpt/math/CMatrixFixedNumeric.h> // for CMatrixF...
22 #include <mrpt/math/CQuaternion.h> // for CQuatern...
23 #include <mrpt/poses/CPose3D.h> // for CPose3D
24 #include <mrpt/poses/CPose3DQuat.h> // for CPose3DQuat
25 #include <mrpt/poses/CPose3DQuatPDF.h> // for CPose3DQ...
26 #include <mrpt/random/RandomGenerators.h> // for CRandomG...
27 #include <mrpt/utils/CObject.h> // for CPose3DQ...
28 #include <mrpt/utils/CSerializable.h> // for CSeriali...
29 #include <mrpt/utils/bits.h> // for size
30 #include <mrpt/utils/mrpt_macros.h> // for MRPT_END
31 #include <mrpt/system/os.h> // for fopen
33 
34 using namespace mrpt;
35 using namespace mrpt::system;
36 using namespace mrpt::poses;
37 using namespace mrpt::math;
38 using namespace mrpt::random;
39 using namespace mrpt::utils;
40 using namespace std;
41 
43 
44 /** Default constructor - set all values to zero. */
46 // Un-initialized constructor:
47 CPose3DQuatPDFGaussianInf::CPose3DQuatPDFGaussianInf(
48  TConstructorFlags_Quaternions constructor_dummy_param)
50 {
51  MRPT_UNUSED_PARAM(constructor_dummy_param);
52 }
53 
54 /** Constructor from a default mean value, covariance equals to zero. */
56  const CPose3DQuat& init_Mean)
57  : mean(init_Mean), cov_inv()
58 {
59 }
60 
61 /** Constructor with mean and covariance. */
63  const CPose3DQuat& init_Mean, const CMatrixDouble77& init_CovInv)
64  : mean(init_Mean), cov_inv(init_CovInv)
65 {
66 }
67 
68 /*---------------------------------------------------------------
69  writeToStream
70  ---------------------------------------------------------------*/
72  mrpt::utils::CStream& out, int* version) const
73 {
74  if (version)
75  *version = 0;
76  else
77  {
78  out << mean;
79 
80  for (size_t r = 0; r < size(cov_inv, 1); r++)
81  out << cov_inv.get_unsafe(r, r);
82  for (size_t r = 0; r < size(cov_inv, 1); r++)
83  for (size_t c = r + 1; c < size(cov_inv, 2); c++)
84  out << cov_inv.get_unsafe(r, c);
85  }
86 }
87 
88 /*---------------------------------------------------------------
89  readFromStream
90  ---------------------------------------------------------------*/
92  mrpt::utils::CStream& in, int version)
93 {
94  switch (version)
95  {
96  case 0:
97  {
98  in >> mean;
99 
100  for (size_t r = 0; r < size(cov_inv, 1); r++)
101  in >> cov_inv.get_unsafe(r, r);
102  for (size_t r = 0; r < size(cov_inv, 1); r++)
103  for (size_t c = r + 1; c < size(cov_inv, 2); c++)
104  {
105  double x;
106  in >> x;
107  cov_inv.get_unsafe(r, c) = cov_inv.get_unsafe(c, r) = x;
108  }
109  }
110  break;
111  default:
113  };
114 }
115 
117 {
118  if (this == &o) return; // It may be used sometimes
119 
120  // Convert to gaussian pdf:
122  o.getCovarianceAndMean(C, this->mean);
123  C.inv_fast(this->cov_inv);
124 }
125 
126 /*---------------------------------------------------------------
127  saveToTextFile
128  ---------------------------------------------------------------*/
129 void CPose3DQuatPDFGaussianInf::saveToTextFile(const string& file) const
130 {
131  FILE* f = os::fopen(file.c_str(), "wt");
132  if (!f) return;
133 
134  os::fprintf(
135  f, "%e %e %e %e %e %e %e\n", mean.x(), mean.y(), mean.z(),
136  mean.quat()[0], mean.quat()[1], mean.quat()[2], mean.quat()[3]);
137 
138  for (unsigned int i = 0; i < 7; i++)
139  os::fprintf(
140  f, "%e %e %e %e %e %e %e\n", cov_inv(i, 0), cov_inv(i, 1),
141  cov_inv(i, 2), cov_inv(i, 3), cov_inv(i, 4), cov_inv(i, 5),
142  cov_inv(i, 6));
143 
144  os::fclose(f);
145 }
146 
147 /*---------------------------------------------------------------
148  changeCoordinatesReference
149  ---------------------------------------------------------------*/
151  const CPose3D& newReferenceBase)
152 {
153  MRPT_START
154  changeCoordinatesReference(CPose3DQuat(newReferenceBase));
155  MRPT_END
156 }
157 
158 /*---------------------------------------------------------------
159  changeCoordinatesReference
160  ---------------------------------------------------------------*/
162  const CPose3DQuat& newReferenceBaseQuat)
163 {
164  MRPT_START
165 
166  // COV:
168  this->cov_inv.inv(OLD_COV);
169 
171 
173  newReferenceBaseQuat, // x
174  this->mean, // u
175  df_dx, df_du,
176  &this->mean // Output: newReferenceBaseQuat + this->mean;
177  );
178 
179  // this->cov = H1*this->cov*~H1 + H2*Ap.cov*~H2;
180  // df_dx: not used, since its COV are all zeros... // df_dx.multiply_HCHt(
181  // OLD_COV, cov );
183  df_du.multiply_HCHt(OLD_COV, NEW_COV);
184  NEW_COV.inv_fast(this->cov_inv);
185 
186  MRPT_END
187 }
188 
189 /*---------------------------------------------------------------
190  drawSingleSample
191  ---------------------------------------------------------------*/
193 {
194  MRPT_START
196  this->cov_inv.inv(COV);
197 
199  MRPT_END
200 }
201 
202 /*---------------------------------------------------------------
203  drawManySamples
204  ---------------------------------------------------------------*/
206  size_t N, vector<CVectorDouble>& outSamples) const
207 {
208  MRPT_START
210  this->cov_inv.inv(COV);
211 
212  getRandomGenerator().drawGaussianMultivariateMany(outSamples, N, COV);
213 
214  for (vector<CVectorDouble>::iterator it = outSamples.begin();
215  it != outSamples.end(); ++it)
216  for (unsigned int k = 0; k < 7; k++) (*it)[k] += mean[k];
217 
218  MRPT_END
219 }
220 
221 /*---------------------------------------------------------------
222  inverse
223  ---------------------------------------------------------------*/
225 {
228 
229  // COV:
231  double lx, ly, lz;
232  mean.inverseComposePoint(0, 0, 0, lx, ly, lz, nullptr, &df_dpose);
233 
235  jacob.insertMatrix(0, 0, df_dpose);
236  jacob.set_unsafe(3, 3, 1);
237  jacob.set_unsafe(4, 4, -1);
238  jacob.set_unsafe(5, 5, -1);
239  jacob.set_unsafe(6, 6, -1);
240 
241  // C(0:2,0:2): H C H^t
243  this->cov_inv.inv(COV);
244 
245  jacob.multiply_HCHt(COV, NEW_COV);
246  NEW_COV.inv_fast(out.cov_inv);
247 
248  // Mean:
249  out.mean.x(lx);
250  out.mean.y(ly);
251  out.mean.z(lz);
252  this->mean.quat().conj(out.mean.quat());
253 }
254 
255 /*---------------------------------------------------------------
256  +=
257  ---------------------------------------------------------------*/
259 {
260  // COV:
262  this->cov_inv.inv(OLD_COV);
263 
265 
267  this->mean, // x
268  Ap, // u
269  df_dx, df_du,
270  &this->mean // Output: this->mean + Ap;
271  );
272 
273  // this->cov = H1*this->cov*~H1 + H2*Ap.cov*~H2;
275  df_dx.multiply_HCHt(OLD_COV, NEW_COV);
276  NEW_COV.inv_fast(this->cov_inv);
277  // df_du: Nothing to do, since COV(Ap) = zeros
278 }
279 
280 /*---------------------------------------------------------------
281  +=
282  ---------------------------------------------------------------*/
284 {
285  // COV:
287  this->cov_inv.inv(OLD_COV);
288 
290 
292  this->mean, // x
293  Ap.mean, // u
294  df_dx, df_du,
295  &this->mean // Output: this->mean + Ap.mean;
296  );
297 
298  // this->cov = H1*this->cov*~H1 + H2*Ap.cov*~H2;
301  Ap.cov_inv.inv(Ap_cov);
302 
303  df_dx.multiply_HCHt(OLD_COV, NEW_COV);
304  df_du.multiply_HCHt(Ap_cov, NEW_COV, true); // Accumulate result
305 
306  NEW_COV.inv_fast(this->cov_inv);
307 }
308 
309 /*---------------------------------------------------------------
310  -=
311  ---------------------------------------------------------------*/
313 {
314  // THIS = THIS (-) Ap -->
315  // THIS = inverse(Ap) (+) THIS
316  CPose3DQuatPDFGaussianInf inv_Ap = -Ap;
317  *this = inv_Ap + *this;
318 }
319 
320 /*---------------------------------------------------------------
321  evaluatePDF
322  ---------------------------------------------------------------*/
324 {
326  CMatrixDouble71(x), CMatrixDouble71(this->mean), this->cov_inv);
327 }
328 
329 /*---------------------------------------------------------------
330  evaluateNormalizedPDF
331  ---------------------------------------------------------------*/
333  const CPose3DQuat& x) const
334 {
336  CMatrixDouble71(x), CMatrixDouble71(this->mean), this->cov_inv, true);
337 }
338 
339 /*---------------------------------------------------------------
340  operator <<
341  ---------------------------------------------------------------*/
343  ostream& out, const CPose3DQuatPDFGaussianInf& obj)
344 {
345  out << "Mean: " << obj.mean << "\n";
346  out << "Information:\n" << obj.cov_inv << "\n";
347  return out;
348 }
349 
352 {
353  return p1.mean == p2.mean && p1.cov_inv == p2.cov_inv;
354 }
355 
356 /** Pose composition for two 3D pose Gaussians \sa
357  * CPose3DQuatPDFGaussianInf::operator += */
360 {
362  res += u;
363  return res;
364 }
365 
366 /** Inverse pose composition for two 3D pose Gaussians \sa
367  * CPose3DQuatPDFGaussianInf::operator -= */
370 {
372  res -= u;
373  return res;
374 }
A namespace of pseudo-random numbers genrators of diferent distributions.
void inverse(CPose3DQuatPDF &o) const override
Returns a new PDF such as: NEW_PDF = (0,0,0) - THIS_PDF.
mrpt::math::CQuaternionDouble & quat()
Read/Write access to the quaternion representing the 3D rotation.
Definition: CPose3DQuat.h:60
double x() const
Common members of all points & poses classes.
Definition: CPoseOrPoint.h:135
void inverseComposePoint(const double gx, const double gy, const double gz, double &lx, double &ly, double &lz, mrpt::math::CMatrixFixedNumeric< double, 3, 3 > *out_jacobian_df_dpoint=nullptr, mrpt::math::CMatrixFixedNumeric< double, 3, 7 > *out_jacobian_df_dpose=nullptr) const
Computes the 3D point L such as .
Classes for serialization, sockets, ini-file manipulation, streams, list of properties-values, timewatch, extensions to STL.
This namespace provides a OS-independent interface to many useful functions: filenames manipulation...
Definition: math_frwds.h:30
TConstructorFlags_Quaternions
Definition: CQuaternion.h:22
int void fclose(FILE *f)
An OS-independent version of fclose.
Definition: os.cpp:272
#define IMPLEMENTS_SERIALIZABLE(class_name, base, NameSpace)
This must be inserted in all CSerializable classes implementation files.
mrpt::math::TPoint2D operator+(const CPose2D &pose, const mrpt::math::TPoint2D &pnt)
Compose a 2D point from a new coordinate base given by a 2D pose.
Definition: CPose2D.cpp:377
Declares a class that represents a Probability Density function (PDF) of a 3D pose using a quaternion...
void copyFrom(const CPose3DQuatPDF &o) override
Copy operator, translating if necesary (for example, between particles and gaussian representations) ...
Scalar * iterator
Definition: eigen_plugins.h:26
STL namespace.
CMatrixFixedNumeric< double, 7, 1 > CMatrixDouble71
Definition: eigen_frwds.h:65
GLsizei GLsizei GLuint * obj
Definition: glext.h:4070
void writeToStream(mrpt::utils::CStream &out, int *getVersion) const override
Introduces a pure virtual method responsible for writing to a CStream.
double evaluateNormalizedPDF(const CPose3DQuat &x) const
Evaluates the ratio PDF(x) / PDF(MEAN), that is, the normalized PDF in the range [0,1].
void operator+=(const CPose3DQuat &Ap)
Makes: thisPDF = thisPDF + Ap, where "+" is pose composition (both the mean, and the covariance matri...
CPose3DQuatPDFGaussianInf()
Default constructor - set all values to zero.
mrpt::math::CMatrixDouble77 cov_inv
The 7x7 information matrix (the inverse of the covariance)
This base class is used to provide a unified interface to files,memory buffers,..Please see the deriv...
Definition: CStream.h:41
void changeCoordinatesReference(const CPose3DQuat &newReferenceBase)
this = p (+) this.
A numeric matrix of compile-time fixed size.
This base provides a set of functions for maths stuff.
Definition: CArrayNumeric.h:19
#define CLASS_ID(T)
Access to runtime class ID for a defined class name.
Definition: CObject.h:85
#define MRPT_END
#define MRPT_UNUSED_PARAM(a)
Can be used to avoid "not used parameters" warnings from the compiler.
void conj(CQuaternion &q_out) const
Return the conjugate quaternion.
Definition: CQuaternion.h:374
const GLubyte * c
Definition: glext.h:6313
#define MRPT_THROW_UNKNOWN_SERIALIZATION_VERSION(__V)
For use in CSerializable implementations.
void drawGaussianMultivariateMany(VECTOR_OF_VECTORS &ret, size_t desiredSamples, const COVMATRIX &cov, const typename VECTOR_OF_VECTORS::value_type *mean=nullptr)
Generate a given number of multidimensional random samples according to a given covariance matrix...
CPose2D operator-(const CPose2D &p)
Unary - operator: return the inverse pose "-p" (Note that is NOT the same than a pose with negative x...
Definition: CPose2D.cpp:328
void saveToTextFile(const std::string &file) const override
Save the PDF to a text file, containing the 3D pose in the first line (x y z qr qx qy qz)...
virtual const mrpt::utils::TRuntimeClassId * GetRuntimeClass() const override
Returns information about the class of an object in runtime.
A class used to store a 3D pose as a translation (x,y,z) and a quaternion (qr,qx,qy,qz).
Definition: CPose3DQuat.h:48
double evaluatePDF(const CPose3DQuat &x) const
Evaluates the PDF at a given point.
MATRIXLIKE::Scalar normalPDFInf(const VECTORLIKE1 &x, const VECTORLIKE2 &mu, const MATRIXLIKE &cov_inv, const bool scaled_pdf=false)
Evaluates the multivariate normal (Gaussian) distribution at a given point "x".
Definition: distributions.h:46
Classes for 2D/3D geometry representation, both of single values and probability density distribution...
Definition: CPoint.h:17
void drawManySamples(size_t N, std::vector< mrpt::math::CVectorDouble > &outSamples) 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.
int fprintf(FILE *fil, const char *format,...) noexcept MRPT_printf_format_check(2
An OS-independent version of fprintf.
Definition: os.cpp:405
#define MRPT_START
This is the global namespace for all Mobile Robot Programming Toolkit (MRPT) libraries.
GLdouble GLdouble GLdouble r
Definition: glext.h:3705
bool operator==(const CPoint< DERIVEDCLASS > &p1, const CPoint< DERIVEDCLASS > &p2)
Definition: CPoint.h:163
void operator-=(const CPose3DQuatPDFGaussianInf &Ap)
Makes: thisPDF = thisPDF - Ap, where "-" is pose inverse composition (both the mean, and the covariance matrix are updated).
Declares a class that represents a Probability Density Function (PDF) of a 3D pose (6D actually)...
A class used to store a 3D pose (a 3D translation + a rotation in 3D).
Definition: CPose3D.h:88
void readFromStream(mrpt::utils::CStream &in, int version) override
Introduces a pure virtual method responsible for loading from a CStream This can not be used directly...
GLuint in
Definition: glext.h:7274
#define ASSERT_(f)
void drawSingleSample(CPose3DQuat &outPart) const override
Draws a single sample from the distribution.
FILE * fopen(const char *fileName, const char *mode) noexcept
An OS-independent version of fopen.
Definition: os.cpp:254
virtual void getCovarianceAndMean(mrpt::math::CMatrixFixedNumeric< double, STATE_LEN, STATE_LEN > &cov, TDATA &mean_point) const =0
Returns an estimate of the pose covariance matrix (STATE_LENxSTATE_LEN cov matrix) and the mean...
GLsizeiptr size
Definition: glext.h:3923
GLuint res
Definition: glext.h:7268
void drawGaussianMultivariate(std::vector< T > &out_result, const mrpt::math::CMatrixTemplateNumeric< T > &cov, const std::vector< T > *mean=nullptr)
Generate multidimensional random samples according to a given covariance matrix.
GLenum GLint x
Definition: glext.h:3538
static void jacobiansPoseComposition(const CPose3DQuat &x, const CPose3DQuat &u, mrpt::math::CMatrixDouble77 &df_dx, mrpt::math::CMatrixDouble77 &df_du, CPose3DQuat *out_x_oplus_u=nullptr)
This static method computes the two Jacobians of a pose composition operation $f(x,u)= x u$.
CRandomGenerator & getRandomGenerator()
A static instance of a CRandomGenerator class, for use in single-thread applications.
EIGEN_STRONG_INLINE double mean() const
Computes the mean of the entire matrix.
std::ostream & operator<<(std::ostream &o, const CPoint< DERIVEDCLASS > &p)
Dumps a point as a string [x,y] or [x,y,z].
Definition: CPoint.h:137



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