#include <GaussianNoiseModel.hh>
Inherits GaussianNoiseModel.
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double | bias |
| If type starts with GAUSSIAN, the bias we'll add. More...
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double | mean |
| If type starts with GAUSSIAN, the mean of the distribution from which we sample when adding noise. More...
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double | precision |
| If type==GAUSSIAN_QUANTIZED, the precision to which the output signal is rounded. More...
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bool | quantized |
| True if the type is GAUSSIAN_QUANTIZED. More...
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double | stdDev |
| If type starts with GAUSSIAN, the standard deviation of the distribution from which we sample when adding noise. More...
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◆ NoiseType
Which noise types we support.
Enumerator |
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NONE | |
CUSTOM | |
GAUSSIAN | |
◆ ImageGaussianNoiseModel()
◆ ~ImageGaussianNoiseModel()
◆ Apply()
double Apply |
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double |
_in, |
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double |
_dt = 0.0 |
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) |
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inherited |
Apply noise to input data value.
- Parameters
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- Returns
- Data with noise applied.
◆ ApplyImpl()
double ApplyImpl |
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double |
_in, |
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double |
_dt |
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) |
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virtualinherited |
Apply noise to input data value.
This gets overriden by derived classes, and called by Apply.
- Parameters
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- Returns
- Data with noise applied.
Reimplemented from Noise.
◆ Fini()
◆ GetBias()
Accessor for bias.
- Returns
- Bias on output.
◆ GetDynamicBiasCorrelationTime()
double GetDynamicBiasCorrelationTime |
( |
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const |
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inherited |
Accessor for dynamic bias process correlation time (seconds).
- Returns
- Correlation time of Gaussian noise process driving bias walk
◆ GetDynamicBiasStdDev()
double GetDynamicBiasStdDev |
( |
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const |
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inherited |
Accessor for dynamic bias process standard deviation.
- Returns
- Standard deviation of Gaussian noise driving bias walk
◆ GetMean()
Accessor for mean.
- Returns
- Mean of Gaussian noise.
◆ GetNoiseType()
Accessor for NoiseType.
- Returns
- Type of noise currently in use.
◆ GetStdDev()
double GetStdDev |
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const |
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inherited |
Accessor for stddev.
- Returns
- Standard deviation of Gaussian noise.
◆ Load()
virtual void Load |
( |
sdf::ElementPtr |
_sdf | ) |
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virtual |
Load noise parameters from sdf.
- Parameters
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[in] | _sdf | SDF parameters. |
[in] | _sensor | Type of sensor. |
Reimplemented from GaussianNoiseModel.
◆ Print()
virtual void Print |
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std::ostream & |
_out | ) |
const |
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virtual |
◆ SetCamera()
Set camera needed to create image noise.
This is only needed for image sensors, i.e. camera/multicamera/depth sensors, which use shaders for more efficient noise generation.
- Parameters
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[in] | _camera | Camera associated to an image sensor |
Reimplemented from Noise.
◆ SetCustomNoiseCallback()
virtual void SetCustomNoiseCallback |
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boost::function< double(double)> |
_cb | ) |
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virtualinherited |
Register a custom noise callback.
If both a function that takes time and one that doesn't are set, the one without time will be ignored.
- Parameters
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[in] | _cb | Callback function for applying a custom noise model. This is useful if users want to use their own noise model from a sensor plugin. |
◆ SetCustomNoiseCallbackTime()
virtual void SetCustomNoiseCallbackTime |
( |
boost::function< double(double, double)> |
_cb | ) |
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virtualinherited |
Register a custom noise callback, with time.
If both a function that takes time and one that doesn't are set, the one without time will be ignored.
- Parameters
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[in] | _cb | Callback function for applying a custom noise model. This is useful if users want to use their own noise model from a sensor plugin. |
◆ SetDynamicBiasCorrelationTime()
void SetDynamicBiasCorrelationTime |
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const double |
_stddev | ) |
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inherited |
Set correlation time of dynamic bias process, in seconds.
- Parameters
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[in] | _stddev | Standard deviation of bias noise process. |
◆ SetDynamicBiasStdDev()
void SetDynamicBiasStdDev |
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const double |
_stddev | ) |
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inherited |
Set standard deviation of dynamic bias process.
- Parameters
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[in] | _stddev | Standard deviation of bias noise process. |
◆ SetMean()
void SetMean |
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const double |
_mean | ) |
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inherited |
Set mean.
- Parameters
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[in] | _mean | Mean of Gaussian noise. |
◆ SetStdDev()
void SetStdDev |
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const double |
_stddev | ) |
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inherited |
Set stddev.
- Parameters
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[in] | _stddev | Standard deviation of Gaussian noise. |
◆ bias
If type starts with GAUSSIAN, the bias we'll add.
◆ gaussianNoiseCompositorListener
boost::shared_ptr<GaussianNoiseCompositorListener> gaussianNoiseCompositorListener |
Gaussian noise compositor listener.
◆ gaussianNoiseInstance
Ogre::CompositorInstance* gaussianNoiseInstance |
Gaussian noise compositor.
◆ mean
If type starts with GAUSSIAN, the mean of the distribution from which we sample when adding noise.
◆ precision
If type==GAUSSIAN_QUANTIZED, the precision to which the output signal is rounded.
◆ quantized
True if the type is GAUSSIAN_QUANTIZED.
◆ stdDev
If type starts with GAUSSIAN, the standard deviation of the distribution from which we sample when adding noise.
The documentation for this class was generated from the following file: