offline-ekf-flexibility-estimation.hpp File Reference
Gives an implementation of flexibility estimation for IMU reconstruction with or without given input using a Kalman filter. The source is in a file imu-attitude-trajectory-reconstruction.hxx. More...
#include <state-observation/flexibility-estimation/fixed-contact-ekf-flex-estimator-imu.hpp>#include <vector>#include <state-observation/examples/offline-ekf-flexibility-estimation.hxx>
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Namespaces | |
| stateObservation | |
| stateObservation::examples | |
Functions | |
| stateObservation::IndexedVectorArray | stateObservation::examples::offlineEKFFlexibilityEstimation (const stateObservation::IndexedVectorArray &y, const stateObservation::IndexedVectorArray &u, const Vector &xh0, unsigned numberOfContacts, const std::vector< Vector3, Eigen::aligned_allocator< Vector3 >> &contactsPositions, double dt, IndexedVectorArray *ino=0x0, IndexedVectorArray *premea=0x0) |
| stateObservation::IndexedVectorArray | stateObservation::examples::offlineEKFFlexibilityEstimation (const stateObservation::IndexedVectorArray &y, const Vector &xh0, unsigned numberOfContacts, const std::vector< Vector3, Eigen::aligned_allocator< Vector3 >> &contactsPositions, double dt) |
Detailed Description
Gives an implementation of flexibility estimation for IMU reconstruction with or without given input using a Kalman filter. The source is in a file imu-attitude-trajectory-reconstruction.hxx.
- Date
- 2013
