Uses of Interface
com.irurueta.navigation.inertial.calibration.accelerometer.UnknownBiasAccelerometerCalibrator
Packages that use UnknownBiasAccelerometerCalibrator
Package
Description
Contains classes for accelerometer calibration.
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Uses of UnknownBiasAccelerometerCalibrator in com.irurueta.navigation.inertial.calibration.accelerometer
Subinterfaces of UnknownBiasAccelerometerCalibrator in com.irurueta.navigation.inertial.calibration.accelerometerModifier and TypeInterfaceDescriptioninterfaceKnownFrameAccelerometerCalibrator<T extends FrameBodyKinematics,L extends KnownFrameAccelerometerCalibratorListener<?>> Interface defining accelerometer calibrators to estimate biases, cross coupling and scaling factors.interfaceInterface for non-linear accelerometer calibrator where bias is unknown and needs to be estimated.Classes in com.irurueta.navigation.inertial.calibration.accelerometer that implement UnknownBiasAccelerometerCalibratorModifier and TypeClassDescriptionclassBaseGravityNormAccelerometerCalibrator<C extends BaseGravityNormAccelerometerCalibrator<?,?>, L extends BaseGravityNormAccelerometerCalibratorListener<C>> Abstract class to estimate accelerometer biases, cross couplings and scaling factors when gravity norm is known (either because it has been directly provided or because position respect Earth is known, and thus gravity norm is also known).classEstimates accelerometer biases, cross couplings and scaling factors.classEstimates accelerometer biases, cross couplings and scaling factors.classEstimates accelerometer biases, cross couplings and scaling factors.classEstimates accelerometer biases, cross couplings and scaling factors.classRobustly estimates accelerometer biases, cross couplings and scaling factors using an LMedS algorithm to discard outliers.classRobustly estimates accelerometer biases, cross couplings and scaling factors using a LMedS algorithm to discard outliers.classRobustly estimates accelerometer biases, cross couplings and scaling factors using a LMedS algorithm to discard outliers.classRobustly estimates accelerometer biases, cross couplings and scaling factors using a MSAC algorithm to discard outliers.classRobustly estimates accelerometer biases, cross couplings and scaling factors using a MSAC algorithm to discard outliers.classRobustly estimates accelerometer biases, cross couplings and scaling factors using a MSAC algorithm to discard outliers.classRobustly estimates accelerometer biases, cross couplings and scaling factors using an PROMedS algorithm to discard outliers.classRobustly estimates accelerometer biases, cross couplings and scaling factors using a PROMedS algorithm to discard outliers.classRobustly estimates accelerometer biases, cross couplings and scaling factors using a PROMedS algorithm to discard outliers.classRobustly estimates accelerometer biases, cross couplings and scaling factors using a PROSAC algorithm to discard outliers.classRobustly estimates accelerometer biases, cross couplings and scaling factors using a PROSAC algorithm to discard outliers.classRobustly estimates accelerometer biases, cross couplings and scaling factors using a PROSAC algorithm to discard outliers.classRobustly estimates accelerometer biases, cross couplings and scaling factors using a RANSAC algorithm to discard outliers.classRobustly estimates accelerometer biases, cross couplings and scaling factors using a RANSAC algorithm to discard outliers.classRobustly estimates accelerometer biases, cross couplings and scaling factors using a RANSAC algorithm to discard outliers.classThis is an abstract class to robustly estimate accelerometer biases, cross couplings and scaling factors.classThis is an abstract class to robustly estimate accelerometer biases, cross couplings and scaling factors.classThis is an abstract class to robustly estimate accelerometer biases, cross couplings and scaling factors.