MipTasks::PHDFilterTaskOptions Class Reference
[PHDFilter Task]

Options for the task using the PHDFilter. More...

#include <PHDFilterTask.h>

Inheritance diagram for MipTasks::PHDFilterTaskOptions:

Options MIPObject

List of all members.

Public Member Functions

 PHDFilterTaskOptions ()
 Default constructor.
string getObjectName () const
 Gets the Name of the Options.

Public Attributes

DecimalOption * timeBetweenMeasUpdates
 Time between two measurement updates.
DecimalOption * timeBetweenSysUpdates
 Time between two system updates.
StringOption * filterType
 Type of PHDFilter.
DecimalOption * survivalProbability
 Survival probability of the target after per unit of time.
DecimalOption * detectionProbability
 Probability of detection of a target.
DecimalOption * truncationThreshold
 Truncation threshold.
IntOption * maxComponentNumber
 Maximum number of components.
DecimalOption * mergingThreshold
 Merging threshold.
IntOption * particleNumber
 Number of particle to discretize the initial orientation.
DecimalOption * sensorDetectionRay
 Maximum detection ray of the sensor.
DecimalOption * targetDimension
 Dimension of the targets.
DecimalOption * maxDetectionBearing
 Maximum (and negative minimum) detection bearing of the target, expressed in [0, M_PI].
StringOption * rootFiles
 Specify the name of the directory where are the files with the data (default 'data').
BoolOption * saveGMFiles
 Wether or not to save the Gaussian Mixtures on file.
BoolOption * offlineSimulation
 Wether or not the simulation is conducted offline.


Detailed Description

Options for the task using the PHDFilter.

Author:
Paolo Stegagno

Constructor & Destructor Documentation

MipTasks::PHDFilterTaskOptions::PHDFilterTaskOptions (  ) 

Default constructor.


Member Function Documentation

string MipTasks::PHDFilterTaskOptions::getObjectName (  )  const [inline, virtual]

Gets the Name of the Options.

Returns:
The name the Options.

Implements Options.


Member Data Documentation

Time between two measurement updates.

Time between two system updates.

Type of PHDFilter.

Survival probability of the target after per unit of time.

Probability of detection of a target.

Truncation threshold.

All hypotheses with weight under this threshold are erased.

Maximum number of components.

Merging threshold.

Threshold on the Mahalanobis distance to merge two different hypotheses.

Number of particle to discretize the initial orientation.

Maximum detection ray of the sensor.

Dimension of the targets.

Maximum (and negative minimum) detection bearing of the target, expressed in [0, M_PI].

Specify the name of the directory where are the files with the data (default 'data').

Wether or not to save the Gaussian Mixtures on file.

Wether or not the simulation is conducted offline.


The documentation for this class was generated from the following files:

Generated on Mon Feb 20 07:01:13 2017 for MIP by  doxygen 1.5.6