MipAlgorithms::GMPHDUnicycle2DIdCentrFilterVars Class Reference
[Probability Hypotesis Density (PHD) Filter]

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

#include <GMPHDUnicycle2DIdCentrFilter.h>

Inheritance diagram for MipAlgorithms::GMPHDUnicycle2DIdCentrFilterVars:

MipAlgorithms::PHDFilterVars

List of all members.

Public Member Functions

 GMPHDUnicycle2DIdCentrFilterVars (int nS)

Public Attributes

Pose myLastPose
Decimal lastMeasurementNumber
vector< PositionlastMeasurements
GaussianMixtureJointId prediction
vector< vector< DCol > > predictedMeasures
vector< vector< DMat > > predictedCovariances
vector< vector< DMat > > kalmanGains
vector< vector< DMat > > stepKCovariances
vector< vector< Decimal > > detectionProbability
bool firstStepAfterMeasurements
GaussianMixtureJointId belief
vector< int > lastOtherRobotPoseNum
map< int, PoselastOtherRobotPose
map< int, Poseodometries
vector< vector< Position > > otherMeasures


Detailed Description

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

Author:
Paolo Stegagno

Constructor & Destructor Documentation

MipAlgorithms::GMPHDUnicycle2DIdCentrFilterVars::GMPHDUnicycle2DIdCentrFilterVars ( int  nS  ) 


Member Data Documentation


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

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