linearanalyticmeasurementmodel_gaussianuncertainty_implicit.cpp
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1 // $Id$
2 // Copyright (C) 2002 Klaas Gadeyne <first dot last at gmail dot com>
3 //
4 // This program is free software; you can redistribute it and/or modify
5 // it under the terms of the GNU Lesser General Public License as published by
6 // the Free Software Foundation; either version 2.1 of the License, or
7 // (at your option) any later version.
8 //
9 // This program is distributed in the hope that it will be useful,
10 // but WITHOUT ANY WARRANTY; without even the implied warranty of
11 // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
12 // GNU Lesser General Public License for more details.
13 //
14 // You should have received a copy of the GNU Lesser General Public License
15 // along with this program; if not, write to the Free Software
16 // Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
17 //
18 
20 #include "../sample/sample.h"
21 #include <cassert>
22 
23 namespace BFL
24 {
25 
29  {}
30 
32  ()
34  {}
35 
36 
37 // LinearAnalyticMeasurementModelGaussianUncertainty_Implicit::LinearAnalyticMeasurementModelGaussianUncertainty_Implicit
38 // ( const LinearAnalyticMeasurementModelGaussianUncertainty_Implicit& l )
39 // : LinearAnalyticMeasurementModelGaussianUncertainty( new LinearConditionalGaussian(l.MeasurementPdfGet()) )
40 // {}
41 
42 
44  {}
45 
46 
47 }
Class for linear analytic measurementmodels with additive gaussian noise.


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 Feb 28 2022 21:56:33