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2017-04-06Implement quaternion covarianceMartin Miller
Pq = J*Pa*J' where J is the Jacobian of the euler to quaternion function
2017-04-05Improved process noise modelingMartin Miller
2017-04-05changesMartin Miller
2017-04-04Angular bias must have had z off by a factor of -1Martin Miller
Adjusted this and set tentative canoe values.
2017-04-04Full state mostly implemented.Martin Miller
STATESIZE 9 works just as it does for experiment04032017 tag. The quaternion covariance is not being set correctly yet.
2017-04-04Use STATESIZE for FeatureMartin Miller
Replace FULLSTATE define with STATESIZE.
2017-04-04Update Body to use STATESIZEMartin Miller
2017-04-04Add #if statements to call methods properly.Martin Miller
2017-04-04Update statesize and remove quaternion input.Martin Miller
Rather than use FULLSTATE define, we define STATESIZE, which removes a lot of the preprocessor ifdefs. This should be done in Body and Feature also. Quaterniond was removed as an input to methods when STATESIZE==13 and it is instead accessed from the body state.
2017-04-04Update Feature class to use FULLSTATE.Martin Miller
The Jacobian of the measurement model, Hx and Hy were updated using code generated with matlab's ccode() function. This generates a number of intermediate values, which are an optimization by the function's description, before setting the final values. In any case, it's not necessarily more readable, but it does eliminate the incredbily long lines used previously.
2017-04-04Begin updating Feature to use FULLSTATEMartin Miller
2017-04-03Add quaternion accessor to Body.Martin Miller
2017-04-03Update body to use full state.Martin Miller
The changes add quaternion estimation to the body state. The quaternion is still provided as an input, but it is ignored.
2017-04-03Add drawMatchesMartin Miller
2017-04-03changesMartin Miller
2017-03-31yaw flagsMartin Miller
2017-03-31height measurement flagsMartin Miller
2017-03-31Add compile time flags.Martin Miller
2017-03-31Update mainMartin Miller
2017-03-31Add 1-Point RANSAC.Martin Miller
1-Pt RANSAC is a method for detecting outlier measurements in the EKF framework. This algorithm is as described in Civera 2010.
2017-03-31Update .gitignoreMartin Miller
2017-03-31Add yaw correction factor.Martin Miller
This is sort of a fudge to compensate for poor camera to IMU calibration. It injects additional yaw into the Rc2b matrices.
2017-03-31filter class testing--not completeMartin Miller
2017-03-31Add Filter class.Martin Miller
This is not tested to be working yet.
2017-03-30Use only FULLS kalman updateMartin Miller
2017-03-30changes.txtMartin Miller
2017-03-29tweakMartin Miller
2017-03-291.2 m error on 1112-1-3Martin Miller
2017-03-29Add new update methods.Martin Miller
But they don't really work.
2017-03-29Remove feature type from Feature classMartin Miller
It makes sense to decouple the measurement type, referred to as feature type or fType from the Feature class since a feature can be measured in different ways throughout its lifetime. Better to keep knowledge of the measurement type in the State class.
2017-03-29Allow for the usage of REFLECTION and MONO features.Martin Miller
Feature methods were updated to accomodate both types of features.
2017-03-29changesMartin Miller
2017-03-29Change hardcoded values to definesMartin Miller
2017-03-28fix lineparse with typecasetMartin Miller
2017-03-28ChangesMartin Miller
2017-03-28move aboveWaterMartin Miller
() back to main
2017-03-28updateMartin Miller
2017-03-27EKF is workingMartin Miller
2017-03-27Fix Hx, Hy initializationMartin Miller
2017-03-27Change Body::update to Body::dxMartin Miller
Update was too vague since a lot of things get updated. dx more clearly refers to the incremental update after a Kalman update.
2017-03-27Change {State,Body}::enu() to pos()Martin Miller
2017-03-27Add comments to CameraMartin Miller
2017-03-27Add test_cameraMartin Miller
2017-03-27Tweak mainMartin Miller
2017-03-26Fully implemented EKF.Martin Miller
Still needs to be debugged as the result is way off, but it is all there.
2017-03-26changes.txtMartin Miller
2017-03-26Use householder transformation for ppbhatMartin Miller
2017-03-26Set height above water.Martin Miller
2017-03-25Add HEIGHT measurement to typesMartin Miller
2017-03-25Add State methods for kalman update and innovation.Martin Miller
State::kalmanUpdate should be general enough to work with both the full and independent update methods. The State::innovation method calculates the innovation vector directly rather than building z and hhat individually.