MipAlgorithms::MutLocFilInput3D Class Reference

Class represents MutLocFilter3D inputs new inputs that must be passed to filter at each iteration. More...

#include <MutLoc.h>

List of all members.

Public Member Functions

 MutLocFilInput3D ()
 Default constructor.
 ~MutLocFilInput3D ()
 Destructor.
string print ()
 Print function.

Public Attributes

int numMeas
 Number of measures.
vector< Pose3Dmeasure
 Measures.
vector< MIPMatrixmeasCov
 Covariance matrix of the measures.
Acceleration3D myConfAcc
 Acceleration of the owner.
Velocity3D myConfAngVel
 Angular velocity of the owner.
Velocity3D myConfLinVel
 Linear velocity of the owner.
MIPMatrixmyCov
 Covariance matrix of the pose of the owner.
Acceleration3D hisConfAcc
 Acceleration of the other.
Velocity3D hisConfAngVel
 Angular velocity of the other.
Velocity3D hisConfLinVel
 Linear velocity of the owner.
MIPMatrixhisCov
 Covariance matrix of the pose of the other.
Decimal rightProb
 Probability of having the real value in the set of measures.
bool useVelMeasurements
 Tells wether to consider velocity measurements or not.
bool updateValue
 Previous my acceleration.
bool sysMeasUpdate
Velocity3D myOmegaVel
pair< bool, DecimalactualTime
 Actual time of simulation.
vector< DecimalpriorWeights
 Prior probabilities normalized.


Detailed Description

Class represents MutLocFilter3D inputs new inputs that must be passed to filter at each iteration.

Author:
Marco Cognetti

Constructor & Destructor Documentation

MipAlgorithms::MutLocFilInput3D::MutLocFilInput3D (  ) 

Default constructor.

MipAlgorithms::MutLocFilInput3D::~MutLocFilInput3D (  ) 

Destructor.


Member Function Documentation

string MipAlgorithms::MutLocFilInput3D::print (  ) 

Print function.


Member Data Documentation

Number of measures.

Measures.

Covariance matrix of the measures.

Acceleration of the owner.

Angular velocity of the owner.

Linear velocity of the owner.

Covariance matrix of the pose of the owner.

Acceleration of the other.

Angular velocity of the other.

Linear velocity of the owner.

Covariance matrix of the pose of the other.

Probability of having the real value in the set of measures.

Tells wether to consider velocity measurements or not.

Previous my acceleration.

Angular velocity of the owner in previous step. Previous his acceleration Angular velocity of the other in previous step. Says if update or not the value of a cluster using this input. If true allow the filter to increment by one the value of clusters that gain a new measure by mean association in current step.
If false says to the filter to not increment values, for example if all robots of a formation are still.

Actual time of simulation.

Prior probabilities normalized.


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

Generated on Mon Feb 20 07:01:11 2017 for MIP by  doxygen 1.5.6