DiscreteFilter.cpp
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36 
37 #include "DiscreteFilter.h"
38 
40 
43 }
44 
45 DiscreteFilter::DiscreteFilter(const DiscreteFilter& orig) : mhf::IStateEstimator(orig), pmf_(orig.pmf_) {
47 }
48 
51 }
52 
54  return new DiscreteFilter(*this);
55 }
56 
58 }
59 
60 void DiscreteFilter::update(const pbl::PDF& z, const mhf::Time& time) {
61  assert(z.type() == pbl::PDF::DISCRETE);
62  const pbl::PMF* pmf = pbl::PDFtoPMF(z);
63  pmf_.update(*pmf);
64 }
65 
67  pmf_ = pbl::PMF();
68 }
69 
71  return pmf_;
72 }
73 
PDFType type() const
static int N_DISCRETEKALMAN_FILTER
const PMF * PDFtoPMF(const PDF &pdf)
double Time
virtual void reset()
Resets the internal state of the estimator to its initial value.
virtual void update(const pbl::PDF &z, const mhf::Time &time)
Updates the internal state based on measurement z.
void update(const pbl::PMF &pmf)
virtual DiscreteFilter * clone() const
virtual void propagate(const mhf::Time &time)
Propagates the internal state to Time time.
Estimator that can be used to estimate discrete states. The update is applied according to Bayes...
virtual ~DiscreteFilter()
virtual const pbl::PDF & getValue() const
Returns the current estimated state value.
#define PLUGINLIB_EXPORT_CLASS(class_type, base_class_type)


wire_state_estimators
Author(s): Sjoerd van den Dries, Jos Elfring
autogenerated on Fri Apr 16 2021 02:32:34