MipAlgorithms::GMPHDUnicycle2DNoIdFilterPars Class Reference
[Probability Hypotesis Density (PHD) Filter]

Provides a standard class for the parameters of a PHD filter for tracking of multiple objects in a 2D world. More...

#include <GMPHDUnicycle2DNoIdFilter.h>

Inheritance diagram for MipAlgorithms::GMPHDUnicycle2DNoIdFilterPars:

MipAlgorithms::PHDFilterPars

List of all members.

Public Member Functions

 GMPHDUnicycle2DNoIdFilterPars ()
 Default constructor.
 GMPHDUnicycle2DNoIdFilterPars (Decimal pS, Decimal pD, Time t, DMat &nx, DMat &h, DMat &nz, Decimal tt, int mc, Decimal mt, int pN)
 Complete constructor.

Public Attributes

DMat N_n_x
 Covariance of the process noise n_x in the system model: x_{k} = Ax_{k-1} + n_x.
DMat H
 Matrix H in the measure model: z = Hx + n_z.
DMat N_n_z
 Covariance of the measurement noise n_z in the measure model: z = Hx + n_z.
Decimal truncThresh
 Truncation treshold.
int maxNumComponents
 Maximum number of allowed gaussians in the belief.
Decimal mergThresh
 Merging threshold.
int partNumber
 number of particles for the oriantation


Detailed Description

Provides a standard class for the parameters of a PHD filter for tracking of multiple objects in a 2D world.

Author:
Paolo Stegagno

Constructor & Destructor Documentation

MipAlgorithms::GMPHDUnicycle2DNoIdFilterPars::GMPHDUnicycle2DNoIdFilterPars (  ) 

Default constructor.

MipAlgorithms::GMPHDUnicycle2DNoIdFilterPars::GMPHDUnicycle2DNoIdFilterPars ( Decimal  pS,
Decimal  pD,
Time  t,
DMat &  nx,
DMat &  h,
DMat &  nz,
Decimal  tt,
int  mc,
Decimal  mt,
int  pN 
)

Complete constructor.


Member Data Documentation

Covariance of the process noise n_x in the system model: x_{k} = Ax_{k-1} + n_x.

Matrix H in the measure model: z = Hx + n_z.

Covariance of the measurement noise n_z in the measure model: z = Hx + n_z.

Truncation treshold.

All the gaussians in the belief having a weight lower than this threshold will be neglected.

Maximum number of allowed gaussians in the belief.

Merging threshold.

All the components of the belief whose relative Mahalanobis square distance is lower than this value will be merged.

number of particles for the oriantation


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

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