|
Jafar
|
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 |
|