Uses of Interface
com.irurueta.navigation.inertial.calibration.GyroscopeBiasUncertaintySource

Package
Description
Contains classes for gyroscope calibration.
  • Uses of GyroscopeBiasUncertaintySource in com.irurueta.navigation.inertial.calibration.gyroscope

    Modifier and Type
    Class
    Description
    class 
    Estimates gyroscope biases, cross couplings, scaling factors and G-dependent cross biases introduced on the gyroscope by the specific forces sensed by the accelerometer.
    class 
    Estimates gyroscope biases, cross couplings and scaling factors along with G-dependent cross biases introduced on the gyroscope by the specific forces sensed by the accelerometer.
    class 
    Robustly estimates gyroscope biases, cross couplings and scaling factors along with G-dependent cross biases introduced on the gyroscope by the specific forces sensed by the accelerometer using LMedS robust estimator.
    class 
    Robustly estimates gyroscope biases, cross couplings and scaling factors along with G-dependent cross biases introduced on the gyroscope by the specific forces sensed by the accelerometer using an LMedS algorithm to discard outliers.
    class 
    Robustly estimates gyroscope biases, cross couplings and scaling factors along with G-dependent cross biases introduced on the gyroscope by the specific forces sensed by the accelerometer using LMedS robust estimator.
    class 
    Robustly estimates gyroscope biases, cross couplings and scaling factors along with G-dependent cross biases introduced on the gyroscope by the specific forces sensed by the accelerometer using MSAC robust estimator.
    class 
    Robustly estimates gyroscope biases, cross couplings and scaling factors along with G-dependent cross biases introduced on the gyroscope by the specific forces sensed by the accelerometer using a MSAC algorithm to discard outliers.
    class 
    Robustly estimates gyroscope biases, cross couplings and scaling factors along with G-dependent cross biases introduced on the gyroscope by the specific forces sensed by the accelerometer using MSAC robust estimator.
    class 
    Robustly estimates gyroscope biases, cross couplings and scaling factors along with G-dependent cross biases introduced on the gyroscope by the specific forces sensed by the accelerometer using PROMedS robust estimator.
    class 
    Robustly estimates gyroscope biases, cross couplings and scaling factors along with G-dependent cross biases introduced on the gyroscope by the specific forces sensed by the accelerometer using a PROMedS algorithm to discard outliers.
    class 
    Robustly estimates gyroscope biases, cross couplings and scaling factors along with G-dependent cross biases introduced on the gyroscope by the specific forces sensed by the accelerometer using PROMedS robust estimator.
    class 
    Robustly estimates gyroscope biases, cross couplings and scaling factors along with G-dependent cross biases introduced on the gyroscope by the specific forces sensed by the accelerometer using PROSAC robust estimator.
    class 
    Robustly estimates gyroscope biases, cross couplings and scaling factors along with G-dependent cross biases introduced on the gyroscope by the specific forces sensed by the accelerometer using a PROSAC algorithm to discard outliers.
    class 
    Robustly estimates gyroscope biases, cross couplings and scaling factors along with G-dependent cross biases introduced on the gyroscope by the specific forces sensed by the accelerometer using PROSAC robust estimator.
    class 
    Robustly estimates gyroscope biases, cross couplings and scaling factors along with G-dependent cross biases introduced on the gyroscope by the specific forces sensed by the accelerometer using RANSAC robust estimator.
    class 
    Robustly estimates gyroscope biases, cross couplings and scaling factors along with G-dependent cross biases introduced on the gyroscope by the specific forces sensed by the accelerometer using a RANSAC algorithm to discard outliers.
    class 
    Robustly estimates gyroscope biases, cross couplings and scaling factors along with G-dependent cross biases introduced on the gyroscope by the specific forces sensed by the accelerometer using RANSAC robust estimator.
    class 
    This is an abstract class to robustly estimate gyroscope biases, cross couplings and scaling factors along with G-dependent cross biases introduced on the gyroscope by the specific forces sensed by the accelerometer.
    class 
    This is an abstract class to robustly estimate gyroscope biases, cross couplings and scaling factors along with G-dependent cross biases introduced on the gyroscope by the specific forces sensed by the accelerometer.
    class 
    This is an abstract class to robustly estimate gyroscope biases, cross couplings and scaling factors along with G-dependent cross biases introduced on the gyroscope by the specific forces sensed by the accelerometer.
    class 
    Estimates gyroscope biases, cross couplings and scaling factors along with G-dependent cross biases introduced on the gyroscope by the specific forces sensed by the accelerometer.