Jafar
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Non linear prediction model defined for one block. More...
Non linear prediction model defined for one block.
To define your own model you must derive this class. This model is well suited for robot state prediction in the SLAM problem.
Definition at line 212 of file predictModel.hpp.
#include <predictModel.hpp>
Public Member Functions | |
JacobianBlockPredictModel (std::size_t sizeState) | |
virtual void | predict (jblas::vec_range &x_r)=0 |
prediction function. |
virtual void jafar::filter::JacobianBlockPredictModel::predict | ( | jblas::vec_range & | x_r | ) | [pure virtual] |
prediction function.
predict() implementation should look like:
void MyPredictModel::predict(jblas::vec& x_r) { // compute jacobian aroud x_t, store it in F // compute x_t+1 function of x_t // store result in x }
Implemented in jafar::slam::SegmentFeatureContraintModel.
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