Revision 295, 0.8 kB
(checked in by smidl, 15 years ago)
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1 | |
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2 | /*! |
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3 | \file |
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4 | \brief UserInfo for Kalman filters and extensions |
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5 | \author Vaclav Smidl. |
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6 | |
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7 | ----------------------------------- |
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8 | BDM++ - C++ library for Bayesian Decision Making under Uncertainty |
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9 | |
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10 | Using IT++ for numerical operations |
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11 | ----------------------------------- |
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12 | */ |
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13 | |
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14 | #include "libPF.h" |
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15 | #include <uibuilder.h> |
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16 | |
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17 | /*! |
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18 | UI for Marginalized Particle Filter estimator |
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19 | |
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20 | The MPF is constructed from a structure with fields: |
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21 | \code |
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22 | estimator = { |
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23 | type = "MPF"; |
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24 | BM = {type="BM"; ...} // Conditional Bayesian model (usually Kalman filter) |
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25 | evol = {type="mpdf"; ...} // evolution model of the "remaining" parameter |
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26 | |
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27 | }; |
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28 | \endcode |
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29 | |
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30 | */ |
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31 | |
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32 | class UIMPF: public UIbuilder { |
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33 | public: |
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34 | UIMPF():UIbuilder("MPF"){}; |
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35 | bdmroot* build ( Setting &S ) const { |
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36 | MPF *M = new MPF; |
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37 | |
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38 | M->set_parameters(); //todo |
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39 | |
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40 | return E; |
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41 | }; |
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42 | }; |
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43 | UIREGISTER ( UIEKF ); |
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44 | |
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