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sensor_se3_prior.cpp
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1// g2o - General Graph Optimization
2// Copyright (C) 2011 G. Grisetti, R. Kuemmerle, W. Burgard
3// All rights reserved.
4//
5// Redistribution and use in source and binary forms, with or without
6// modification, are permitted provided that the following conditions are
7// met:
8//
9// * Redistributions of source code must retain the above copyright notice,
10// this list of conditions and the following disclaimer.
11// * Redistributions in binary form must reproduce the above copyright
12// notice, this list of conditions and the following disclaimer in the
13// documentation and/or other materials provided with the distribution.
14//
15// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS
16// IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
17// TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A
18// PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
19// HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
20// SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED
21// TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
22// PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
23// LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
24// NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
25// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
26
27#include "sensor_se3_prior.h"
28
29#include <cassert>
30
31namespace g2o {
32using namespace std;
33
34// SensorSE3Prior
35SensorSE3Prior::SensorSE3Prior(const std::string& name_)
37 _offsetParam = 0;
38 _information.setIdentity();
39 _information *= 1000;
40 _information(2, 2) = 10;
42}
43
49
50void SensorSE3Prior::addNoise(EdgeType* e) {
53 e->setMeasurement(e->measurement() * n);
54 e->setInformation(information());
55}
56
58 if (!_offsetParam) {
59 return;
60 }
62 RobotType* r = dynamic_cast<RobotType*>(robot());
63 std::list<PoseObject*>::reverse_iterator it = r->trajectory().rbegin();
64 int count = 0;
65 while (it != r->trajectory().rend() && count < 1) {
67 ++it;
68 count++;
69 }
70 if (!_robotPoseObject) return;
71 _sensorPose = _robotPoseObject->vertex()->estimate() * _offsetParam->offset();
72 EdgeType* e = mkEdge();
73 if (e && graph()) {
74 e->setParameterId(0, _offsetParam->id());
75 graph()->addEdge(e);
76 e->setMeasurementFromState();
77 addNoise(e);
78 }
79}
80
81} // namespace g2o
internal::BaseEdgeTraits< D >::ErrorVector ErrorVector
Definition base_edge.h:90
OptimizableGraph * graph() const
Definition simulator.cpp:76
World * world() const
Definition simulator.cpp:71
BaseRobot * robot()
Definition simulator.h:162
prior for an SE3 element
SampleType generateSample()
return a sample of the Gaussian distribution
Definition sampler.h:63
const Isometry3 & offset() const
rotation of the offset as 3x3 rotation matrix
int id() const
Definition parameter.h:44
SensorSE3Prior(const std::string &name_)
void addNoise(EdgeType *e)
ParameterSE3Offset * _offsetParam
virtual void addParameters()
RobotPoseType _sensorPose
void setInformation(const InformationType &information_)
Definition simulator.h:191
GaussianSampler< typename EdgeType::ErrorVector, InformationType > _sampler
Definition simulator.h:230
const InformationType & information()
Definition simulator.h:196
bool addParameter(Parameter *p)
Isometry3 fromVectorMQT(const Vector6 &v)
Robot< WorldObjectSE3 > Robot3D
Definition jet.h:876
virtual bool addEdge(HyperGraph::Edge *e)