Jafar
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sizeless point bearing-only observe model. More...
sizeless point bearing-only observe model.
Definition at line 117 of file pointFeature.hpp.
#include <pointFeature.hpp>
Public Member Functions | |
BearingPointFeatureObserveModel (PointFeatureModel &featureModel_, double alpha_=0.2, double kSigma_=1.0) | |
jblas::vec const & | computeInnovation (jblas::vec const &z_, jblas::vec const &zPred_) |
By default, simply do the substraction. | |
Observation::ObservationType | typeObs () const |
virtual void | initStateInSensorFrame (InitFeature &feature_, Observation const &obs_, double dMin_, double dMax_) |
Public Attributes | |
double | alpha |
sigma/mean ratio | |
double | beta |
geometric serie base | |
Protected Member Functions | |
jblas::vec const & | predictObservationInSensorFrame (const jblas::vec &feature_) |
Prediction of the observation, the feature is expressed in the sensor frame featureInSensorFrame_. | |
void | predictObservationInSensorFrameJac (const jblas::vec &feature_) |
Jacobian of predictObservationInSensorFrame(). | |
bool | doUpdateInitStateInSensorFrame (jblas::vec const &closestMemberState, Observation const &obsRef) |
jblas::vec const& jafar::slam::BearingPointFeatureObserveModel::computeInnovation | ( | jblas::vec const & | y_, |
jblas::vec const & | zPred_ | ||
) | [virtual] |
By default, simply do the substraction.
Reimplementation of that function are allowed to adjust the values of Jobs1 and Jobs2.
y_ | observation |
zPred_ | prediction |
Reimplemented from jafar::filter::BlockObserveModel.
Generated on Wed Oct 15 2014 00:37:49 for Jafar by doxygen 1.7.6.1 |