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

DecimalOptiontimeBetweenMeasUpdates
 Time between two measurement updates.
DecimalOptiontimeBetweenSysUpdates
 Time between two system updates.
StringOptionfilterType
 Type of PHDFilter.
DecimalOptionsurvivalProbability
 Survival probability of the target after per unit of time.
DecimalOptiondetectionProbability
 Probability of detection of a target.
DecimalOptiontruncationThreshold
 Truncation threshold.
IntOptionmaxComponentNumber
 Maximum number of components.
DecimalOptionmergingThreshold
 Merging threshold.
IntOptionparticleNumber
 Number of particle to discretize the initial orientation.
DecimalOptionsensorDetectionRay
 Maximum detection ray of the sensor.
DecimalOptiontargetDimension
 Dimension of the targets.
DecimalOptionmaxDetectionBearing
 Maximum (and negative minimum) detection bearing of the target, expressed in [0, M_PI].
StringOptionrootFiles
 Specify the name of the directory where are the files with the data (default 'data').
BoolOptionsaveGMFiles
 Wether or not to save the Gaussian Mixtures on file.
BoolOptionofflineSimulation
 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