Uses of Interface
com.irurueta.navigation.inertial.calibration.accelerometer.UnknownBiasNonLinearAccelerometerCalibrator
Packages that use UnknownBiasNonLinearAccelerometerCalibrator
Package
Description
Contains classes for accelerometer calibration.
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Uses of UnknownBiasNonLinearAccelerometerCalibrator in com.irurueta.navigation.inertial.calibration.accelerometer
Classes in com.irurueta.navigation.inertial.calibration.accelerometer that implement UnknownBiasNonLinearAccelerometerCalibratorModifier 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.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.