MipTasks::CentralizedPHDFilterTaskOptions Class Reference
[PHDFilter Task]
PHDFilters of the use of the Options calss for a task.
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#include <CentralizedPHDFilterTask.h>
Inheritance diagram for MipTasks::CentralizedPHDFilterTaskOptions:
Public Member Functions | |
| CentralizedPHDFilterTaskOptions () | |
| Default constructor. | |
| string | getObjectName () const |
| Gets the Name of the Options. | |
Public Attributes | |
| DecimalOption * | timeBetweenUpdates |
| Time between two measurement 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 oriantation. | |
| 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]. | |
Detailed Description
PHDFilters of the use of the Options calss for a task.
Constructor & Destructor Documentation
| MipTasks::CentralizedPHDFilterTaskOptions::CentralizedPHDFilterTaskOptions | ( | ) |
Default constructor.
Member Function Documentation
| string MipTasks::CentralizedPHDFilterTaskOptions::getObjectName | ( | ) | const [inline, virtual] |
Member Data Documentation
Time between two measurement 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 oriantation.
Maximum detection ray of the sensor.
Dimension of the targets.
Maximum (and negative minimum) detection bearing of the target, expressed in [0, M_PI].
The documentation for this class was generated from the following files:
- tasks/PHDFilterTask/CentralizedPHDFilterTask.h
- tasks/PHDFilterTask/CentralizedPHDFilterTask.cpp
