nonlinearMeasurementPdf.h
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1 // $Id: nonlinearanalyticconditionalgaussianmobile.h 5374 2005-05-06 14:57:05Z TDeLaet $
2 // Copyright (C) 2006 Tinne De Laet <first dot last at mech dot kuleuven dot be>
3 //
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18 
19 
20 #ifndef __NON_LINEAR_MEAS_MOBILE__
21 #define __NON_LINEAR_MEAS_MOBILE__
22 
23 #include <pdf/conditionalpdf.h>
24 #include <pdf/gaussian.h>
25 
26 namespace BFL
27 {
29  class NonlinearMeasurementPdf : public ConditionalPdf<MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector>
30  {
31  public:
33 
36  NonlinearMeasurementPdf( const Gaussian& measNoise);
37 
39  virtual ~NonlinearMeasurementPdf();
40 
41  // implement this virtual function for measurement model of a particle filter
42  virtual Probability ProbabilityGet(const MatrixWrapper::ColumnVector& measurement) const;
43 
44  private:
46 
47  };
48 
49 } // End namespace BFL
50 
51 #endif //
virtual Probability ProbabilityGet(const MatrixWrapper::ColumnVector &measurement) const
Get the probability of a certain argument.
Class representing Gaussian (or normal density)
Definition: gaussian.h:27
virtual ~NonlinearMeasurementPdf()
Destructor.
NonlinearMeasurementPdf(const Gaussian &measNoise)
Constructor.
Non Linear Conditional Gaussian.
Abstract Class representing conditional Pdfs P(x | ...)
Class representing a probability (a double between 0 and 1)
Definition: bfl_constants.h:39


bfl
Author(s): Klaas Gadeyne, Wim Meeussen, Tinne Delaet and many others. See web page for a full contributor list. ROS package maintained by Wim Meeussen.
autogenerated on Mon Jun 10 2019 12:47:59