All Classes and Interfaces

Class
Description
Optimizes the threshold factor for interval detection of accelerometer and gyroscope data based on results of calibration.
Provides a rule or function to convert estimated accelerometer calibration Mean Square Error (MSE) and estimated gyroscope calibration Mean Square Error (MSE) into a single MSE value.
Defines a source for estimated accelerometer bias random walk PSD.
Optimizes the threshold factor for interval detection of accelerometer and gyroscope data based on results of calibration.
Provides a rule or function to convert estimated accelerometer calibration Mean Square Error (MSE), estimated gyroscope calibration Mean Square Error (MSE) and estimated magnetometer calibrator Mean Square Error (MSE) into a single MSE value.
Optimizes the threshold factor for interval detection of accelerometer data based on results of calibration.
Defines a source for attitude uncertainty.
Optimizes the threshold factor for interval detection of accelerometer and gyroscope data based on results of calibration.
Optimizes the threshold factor for interval detection of accelerometer and gyroscope data based on results of calibration.
Optimizes the threshold factor for interval detection of accelerometer data based on results of calibration.
Optimizes the threshold factor for interval detection of accelerometer and gyroscope data based on results of calibration.
Optimizes the threshold factor for interval detection of magnetometer data based on results of calibration.
Contains build data of this library.
Provides a rule or function to convert estimated accelerometer calibration Mean Square Error (MSE) and estimated gyroscope calibration Mean Square Error (MSE) into a single MSE value.
Provides a rule or function to convert estimated accelerometer calibration Mean Square Error (MSE), estimated gyroscope calibration Mean Square Error (MSE) and estimated magnetometer calibrator Mean Square Error (MSE) into a single MSE value.
Default implementation to map a given measurement into a given quality score to be used for accelerometer calibration.
Default implementation to map a given measurement into a given quality score to be used for gyroscope calibration.
Default implementation to map a given measurement into a given quality score to be used for accelerometer calibration.
Exception raised if drift estimation fails.
Estimates accumulated drift in body orientation, position and velocity per unit of time.
Listener to handle events generated by DriftEstimator.
Optimizes the threshold factor for interval detection of accelerometer and gyroscope data based on results of calibration.
Optimizes the threshold factor for interval detection of accelerometer and gyroscope data based on results of calibration.
Optimizes the threshold factor for interval detection of accelerometer data based on results of calibration.
Optimizes the threshold factor for interval detection of accelerometer and gyroscope data based on results of calibration.
Optimizes the threshold factor for interval detection of magnetometer data based on results of calibration.
Defines a source for estimated gyroscope bias random walk PSD.
Optimizes the threshold factor for interval detection of gyroscope data based on results of calibration.
Utility class to create INSLooselyCoupledKalmanConfig by combining different sources of estimated data.
Utility class to create INSLooselyCoupledKalmanInitializerConfig by combining different sources of estimated data.
Optimizes the threshold factor for interval detection of accelerometer data based on results of accelerometers, gyroscopes or magnetometers calibration.
Exception raised if interval detector threshold factor optimization fails for some reason.
Listener to notify events generated by IntervalDetectorThresholdFactorOptimizer.
Estimates accumulated drift in body orientation, position and velocity per unit of time using an INS Kalman filtered solution.
Optimizes the threshold factor for interval detection of magnetometer data based on results of calibration.
Defines a source for position noise standard deviation.
Defines a source for position uncertainty.
Maps a given value corresponding to a measurement, into a given quality score.
Exception raised if random walk estimation fails.
Estimates random walk data by running this estimator while the body of IMU remains static at a given position and orientation when IMU has already been calibrated.
Listener to handle events generated by RandomWalkEstimator.
Defines a source for velocity noise standard deviation.
Defines a source for velocity uncertainty.