MipAlgorithms::GMPHDUnicycle2DCamIdRCFilterVars Class Reference
[Probability Hypotesis Density (PHD) Filter]

#include <GMPHDUnicycle2DCamIdRCFilter.h>

Inheritance diagram for MipAlgorithms::GMPHDUnicycle2DCamIdRCFilterVars:

Member Data Documentation

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


Public Member Functions
	GMPHDUnicycle2DCamIdRCFilterVars ()
Public Attributes
DMat::fixed< 3, 3 >	AMat
Position3DArma	bVec
Roto3DArma	CMat
Decimal	vHeight
Decimal	zHeight
Decimal	roll
Decimal	pitch
Decimal	myYaw
Decimal	myLastYaw
Position2DArma	borders [4]
vector< Position2DArma >	newMeas
vector< Position2DArma >	newBorder
Odometry2DTimeArma	myLastOdom
Odometry2DTimeArma	myOdo
Decimal	lastMeasurementNumber
vector< Position >	lastMeasurements
GaussianMixtureJointId	prediction
vector< DCol >	predictedMeasures
vector< Decimal >	predictedMeasuresD
vector< Angle >	predictedMeasuresB
vector< DMat >	predictedCovariances
vector< DMat >	kalmanGains
vector< DMat >	stepKCovariances
vector< Decimal >	detectionProbability
int	bestMyEstimate
vector< vector< Decimal > >	predictedMeasuresOth
vector< vector< Decimal > >	predictedCovariancesOth
vector< vector< DMat > >	kalmanGainsOth
vector< vector< DMat > >	stepKCovariancesOth
vector< vector< Decimal > >	detectionProbabilityOth
vector< vector< Decimal > >	sensorWeightsOth
vector< Decimal >	detectionProbabilitySum
Decimal	sensorWeightSum
vector< Decimal >	notDetectionProbabilityProd
vector< vector< Decimal > >	dists
map< int, vector< int > >	currSens
bool	firstStepAfterMeasurements
GaussianMixtureJointId	belief
GaussianMixtureJointId	beliefOth
vector< int >	lastOtherRobotPoseNum
map< int, Pose2DArma >	lastOtherRobotPose
map< int, Pose2DArma >	odometries