#include <RobotAPI/libraries/ukfm/UnscentedKalmanFilter.h>
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| using | AlphaT = Eigen::Matrix<FloatT, 3, 1> |
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| using | ControlNoiseT |
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| using | ControlT = typename SystemModelT::ControlT |
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| using | dim = typename SystemModelT::dim |
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| using | FloatT = typename SystemModelT::FloatT |
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| using | ObsCovT = Eigen::Matrix<FloatT, dim::obs, dim::obs> |
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| using | ObsT = Eigen::Matrix<FloatT, dim::obs, 1> |
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| using | PropCovT = Eigen::Matrix<FloatT, dim::control, dim::control> |
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| using | SigmaPointsT = typename SystemModelT::SigmaPointsT |
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| using | StateCovT = Eigen::Matrix<FloatT, dim::state, dim::state> |
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| using | StateT = typename SystemModelT::StateT |
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| static constexpr float | eps = 10 * std::numeric_limits<float>::epsilon() |
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◆ AlphaT
◆ ControlNoiseT
Initial value:
Eigen::Matrix< FloatT, dim::control, 1 > ControlNoiseT
Definition SystemModel.h:91
◆ ControlT
| using ControlT = typename SystemModelT::ControlT |
◆ dim
| using dim = typename SystemModelT::dim |
◆ FloatT
| using FloatT = typename SystemModelT::FloatT |
◆ ObsCovT
◆ ObsT
◆ PropCovT
◆ SigmaPointsT
◆ StateCovT
◆ StateT
| using StateT = typename SystemModelT::StateT |
◆ UnscentedKalmanFilter() [1/2]
◆ UnscentedKalmanFilter() [2/2]
◆ getCurrentState()
◆ getCurrentStateCovariance()
◆ propagation()
◆ update()
| void update |
( |
const ObsT & | y | ) |
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◆ eps
| float eps = 10 * std::numeric_limits<float>::epsilon() |
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staticconstexpr |
The documentation for this class was generated from the following files: