pxmlw6n2f/Gazebo_Distributed_TCP/gazebo/sensors/GaussianNoiseModel.hh

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/*
* Copyright (C) 2012 Open Source Robotics Foundation
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*/
#ifndef _GAZEBO_GAUSSIAN_NOISE_MODEL_HH_
#define _GAZEBO_GAUSSIAN_NOISE_MODEL_HH_
#include <vector>
#include <string>
#include <sdf/sdf.hh>
#include "gazebo/rendering/RenderTypes.hh"
#include "gazebo/sensors/Noise.hh"
#include "gazebo/util/system.hh"
namespace Ogre
{
class CompositorInstance;
}
namespace gazebo
{
class GaussianNoiseCompositorListener;
namespace sensors
{
/// \class GaussianNoiseModel
/// \brief Gaussian noise class
class GAZEBO_VISIBLE GaussianNoiseModel : public Noise
{
/// \brief Constructor.
public: GaussianNoiseModel();
/// \brief Destructor.
public: virtual ~GaussianNoiseModel();
// Documentation inherited.
public: virtual void Load(sdf::ElementPtr _sdf);
// Documentation inherited.
public: virtual void Fini();
// Documentation inherited.
public: double ApplyImpl(double _in);
/// \brief Accessor for mean.
/// \return Mean of Gaussian noise.
public: double GetMean() const;
/// \brief Accessor for stddev.
/// \return Standard deviation of Gaussian noise.
public: double GetStdDev() const;
/// \brief Accessor for bias.
/// \return Bias on output.
public: double GetBias() const;
/// Documentation inherited
public: virtual void Print(std::ostream &_out) const;
/// \brief If type starts with GAUSSIAN, the mean of the distribution
/// from which we sample when adding noise.
protected: double mean;
/// \brief If type starts with GAUSSIAN, the standard deviation of the
/// distribution from which we sample when adding noise.
protected: double stdDev;
/// \brief If type starts with GAUSSIAN, the bias we'll add.
protected: double bias;
/// \brief If type==GAUSSIAN_QUANTIZED, the precision to which
/// the output signal is rounded.
protected: double precision;
/// \brief True if the type is GAUSSIAN_QUANTIZED
protected: bool quantized;
};
/// \class GaussianNoiseModel
/// \brief Gaussian noise class for image sensors
class GAZEBO_VISIBLE ImageGaussianNoiseModel : public GaussianNoiseModel
{
/// \brief Constructor.
public: ImageGaussianNoiseModel();
/// \brief Destructor.
public: virtual ~ImageGaussianNoiseModel();
// Documentation inherited.
public: virtual void Load(sdf::ElementPtr _sdf);
// Documentation inherited.
public: virtual void Fini();
// Documentation inherited.
public: virtual void SetCamera(rendering::CameraPtr _camera);
/// Documentation inherited
public: virtual void Print(std::ostream &_out) const;
/// \brief Gaussian noise compositor.
public: Ogre::CompositorInstance *gaussianNoiseInstance;
/// \brief Gaussian noise compositor listener
public: boost::shared_ptr<GaussianNoiseCompositorListener>
gaussianNoiseCompositorListener;
};
/// \}
}
}
#endif