Class MSACRobustKnownFrameGyroscopeCalibrator
java.lang.Object
com.irurueta.navigation.inertial.calibration.gyroscope.RobustKnownFrameGyroscopeCalibrator
com.irurueta.navigation.inertial.calibration.gyroscope.MSACRobustKnownFrameGyroscopeCalibrator
- All Implemented Interfaces:
GyroscopeCalibrator
,GyroscopeNonLinearCalibrator
,OrderedStandardDeviationFrameBodyKinematicsGyroscopeCalibrator
,QualityScoredGyroscopeCalibrator
,UnknownBiasGyroscopeCalibrator
,UnknownBiasNonLinearGyroscopeCalibrator
,GyroscopeBiasUncertaintySource
,GyroscopeCalibrationSource
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.
To use this calibrator at least 7 measurements at different known frames must be provided. In other words, accelerometer and gyroscope (i.e. body kinematics) samples must be obtained at 7 different positions, orientations and velocities (although typically velocities are always zero).
Measured gyroscope angular rates is assumed to follow the model shown below:
Ωmeas = bg + (I + Mg) * Ωtrue + Gg * ftrue + wWhere: - Ωmeas is the measured gyroscope angular rates. This is a 3x1 vector. - bg is the gyroscope bias. Ideally, on a perfect gyroscope, this should be a 3x1 zero vector. - I is the 3x3 identity matrix. - Mg is the 3x3 matrix containing cross-couplings and scaling factors. Ideally, on a perfect gyroscope, this should be a 3x3 zero matrix. - Ωtrue is ground-truth gyroscope angular rates. - Gg is the G-dependent cross biases introduced by the specific forces sensed by the accelerometer. Ideally, on a perfect gyroscope, this should be a 3x3 zero matrix. - ftrue is ground-truth specific force. This is a 3x1 vector. - w is measurement noise. This is a 3x1 vector.
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Nested Class Summary
Nested classes/interfaces inherited from class com.irurueta.navigation.inertial.calibration.gyroscope.RobustKnownFrameGyroscopeCalibrator
RobustKnownFrameGyroscopeCalibrator.PreliminaryResult
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Field Summary
FieldsModifier and TypeFieldDescriptionstatic final double
Constant defining default threshold to determine whether samples are inliers or not.static final double
Minimum value that can be set as threshold.private double
Threshold to determine whether samples are inliers or not when testing possible estimation solutions.Fields inherited from class com.irurueta.navigation.inertial.calibration.gyroscope.RobustKnownFrameGyroscopeCalibrator
confidence, DEFAULT_CONFIDENCE, DEFAULT_KEEP_COVARIANCE, DEFAULT_MAX_ITERATIONS, DEFAULT_PROGRESS_DELTA, DEFAULT_REFINE_PRELIMINARY_SOLUTIONS, DEFAULT_REFINE_RESULT, DEFAULT_ROBUST_METHOD, DEFAULT_USE_COMMON_Z_AXIS, DEFAULT_USE_LINEAR_CALIBRATOR, inliersData, listener, MAX_CONFIDENCE, MAX_PROGRESS_DELTA, maxIterations, measurements, MIN_CONFIDENCE, MIN_ITERATIONS, MIN_PROGRESS_DELTA, MINIMUM_MEASUREMENTS, preliminarySubsetSize, progressDelta, refineResult, running
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Constructor Summary
ConstructorsConstructorDescriptionConstructor.MSACRobustKnownFrameGyroscopeCalibrator
(boolean commonAxisUsed) Constructor.MSACRobustKnownFrameGyroscopeCalibrator
(boolean commonAxisUsed, RobustKnownFrameGyroscopeCalibratorListener listener) Constructor.Constructor.Constructor.MSACRobustKnownFrameGyroscopeCalibrator
(List<StandardDeviationFrameBodyKinematics> measurements, boolean commonAxisUsed) Constructor.MSACRobustKnownFrameGyroscopeCalibrator
(List<StandardDeviationFrameBodyKinematics> measurements, boolean commonAxisUsed, RobustKnownFrameGyroscopeCalibratorListener listener) Constructor.MSACRobustKnownFrameGyroscopeCalibrator
(List<StandardDeviationFrameBodyKinematics> measurements, RobustKnownFrameGyroscopeCalibratorListener listener) Constructor. -
Method Summary
Modifier and TypeMethodDescriptionvoid
Estimates gyroscope calibration parameters containing bias, scale factors cross-coupling errors and g-dependant cross biases.com.irurueta.numerical.robust.RobustEstimatorMethod
Returns method being used for robust estimation.double
Returns threshold to determine whether samples are inliers or not.boolean
Indicates whether this calibrator requires quality scores for each measurement/sequence or not.void
setThreshold
(double threshold) Sets threshold to determine whether samples are inliers or not.Methods inherited from class com.irurueta.navigation.inertial.calibration.gyroscope.RobustKnownFrameGyroscopeCalibrator
attemptRefine, computeError, computePreliminarySolutions, create, create, create, create, create, create, create, create, create, create, create, create, create, create, create, create, create, create, create, create, create, create, create, create, create, create, create, create, create, create, create, create, getConfidence, getEstimatedBiasAngularSpeedX, getEstimatedBiasAngularSpeedX, getEstimatedBiasAngularSpeedY, getEstimatedBiasAngularSpeedY, getEstimatedBiasAngularSpeedZ, getEstimatedBiasAngularSpeedZ, getEstimatedBiasAsTriad, getEstimatedBiasAsTriad, getEstimatedBiases, getEstimatedBiases, getEstimatedBiasesAsMatrix, getEstimatedBiasesAsMatrix, getEstimatedBiasStandardDeviation, getEstimatedBiasStandardDeviation, getEstimatedBiasStandardDeviationAverage, getEstimatedBiasStandardDeviationAverageAsAngularSpeed, getEstimatedBiasStandardDeviationAverageAsAngularSpeed, getEstimatedBiasStandardDeviationNorm, getEstimatedBiasStandardDeviationNormAsAngularSpeed, getEstimatedBiasStandardDeviationNormAsAngularSpeed, getEstimatedBiasX, getEstimatedBiasXStandardDeviation, getEstimatedBiasXStandardDeviationAsAngularSpeed, getEstimatedBiasXStandardDeviationAsAngularSpeed, getEstimatedBiasXVariance, getEstimatedBiasY, getEstimatedBiasYStandardDeviation, getEstimatedBiasYStandardDeviationAsAngularSpeed, getEstimatedBiasYStandardDeviationAsAngularSpeed, getEstimatedBiasYVariance, getEstimatedBiasZ, getEstimatedBiasZStandardDeviation, getEstimatedBiasZStandardDeviationAsAngularSpeed, getEstimatedBiasZStandardDeviationAsAngularSpeed, getEstimatedBiasZVariance, getEstimatedChiSq, getEstimatedCovariance, getEstimatedGg, getEstimatedMg, getEstimatedMse, getEstimatedMxy, getEstimatedMxz, getEstimatedMyx, getEstimatedMyz, getEstimatedMzx, getEstimatedMzy, getEstimatedSx, getEstimatedSy, getEstimatedSz, getInitialBias, getInitialBias, getInitialBiasAngularSpeedX, getInitialBiasAngularSpeedX, getInitialBiasAngularSpeedY, getInitialBiasAngularSpeedY, getInitialBiasAngularSpeedZ, getInitialBiasAngularSpeedZ, getInitialBiasAsMatrix, getInitialBiasAsMatrix, getInitialBiasAsTriad, getInitialBiasAsTriad, getInitialBiasX, getInitialBiasY, getInitialBiasZ, getInitialGg, getInitialGg, getInitialMg, getInitialMg, getInitialMxy, getInitialMxz, getInitialMyx, getInitialMyz, getInitialMzx, getInitialMzy, getInitialSx, getInitialSy, getInitialSz, getInliersData, getListener, getMaxIterations, getMeasurementOrSequenceType, getMeasurements, getMinimumRequiredMeasurementsOrSequences, getPreliminarySubsetSize, getProgressDelta, getQualityScores, isCommonAxisUsed, isCovarianceKept, isLinearCalibratorUsed, isOrderedMeasurementsOrSequencesRequired, isPreliminarySolutionRefined, isReady, isResultRefined, isRunning, setCommonAxisUsed, setConfidence, setCovarianceKept, setInitialBias, setInitialBias, setInitialBias, setInitialBias, setInitialBias, setInitialBiasX, setInitialBiasX, setInitialBiasY, setInitialBiasY, setInitialBiasZ, setInitialBiasZ, setInitialCrossCouplingErrors, setInitialGg, setInitialMg, setInitialMxy, setInitialMxz, setInitialMyx, setInitialMyz, setInitialMzx, setInitialMzy, setInitialScalingFactors, setInitialScalingFactorsAndCrossCouplingErrors, setInitialSx, setInitialSy, setInitialSz, setLinearCalibratorUsed, setListener, setMaxIterations, setMeasurements, setPreliminarySolutionRefined, setPreliminarySubsetSize, setProgressDelta, setQualityScores, setResultRefined
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Field Details
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DEFAULT_THRESHOLD
public static final double DEFAULT_THRESHOLDConstant defining default threshold to determine whether samples are inliers or not.- See Also:
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MIN_THRESHOLD
public static final double MIN_THRESHOLDMinimum value that can be set as threshold. Threshold must be strictly greater than 0.0.- See Also:
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threshold
private double thresholdThreshold to determine whether samples are inliers or not when testing possible estimation solutions.
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Constructor Details
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MSACRobustKnownFrameGyroscopeCalibrator
public MSACRobustKnownFrameGyroscopeCalibrator()Constructor. -
MSACRobustKnownFrameGyroscopeCalibrator
public MSACRobustKnownFrameGyroscopeCalibrator(List<StandardDeviationFrameBodyKinematics> measurements) Constructor.- Parameters:
measurements
- list of body kinematics measurements with standard deviations taken at different frames (positions, orientations and velocities).
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MSACRobustKnownFrameGyroscopeCalibrator
public MSACRobustKnownFrameGyroscopeCalibrator(boolean commonAxisUsed) Constructor.- Parameters:
commonAxisUsed
- indicates whether z-axis is assumed to be common for accelerometer and gyroscope.
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MSACRobustKnownFrameGyroscopeCalibrator
public MSACRobustKnownFrameGyroscopeCalibrator(List<StandardDeviationFrameBodyKinematics> measurements, boolean commonAxisUsed) Constructor.- Parameters:
measurements
- list of body kinematics measurements with standard deviations taken at different frames (positions, orientations and velocities).commonAxisUsed
- indicates whether z-axis is assumed to be common for accelerometer and gyroscope.
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Method Details
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getThreshold
public double getThreshold()Returns threshold to determine whether samples are inliers or not.- Returns:
- threshold to determine whether samples are inliers or not.
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setThreshold
public void setThreshold(double threshold) throws com.irurueta.navigation.LockedException Sets threshold to determine whether samples are inliers or not.- Parameters:
threshold
- threshold to be set.- Throws:
IllegalArgumentException
- if provided value is equal or less than zero.com.irurueta.navigation.LockedException
- if calibrator is currently running.
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calibrate
public void calibrate() throws com.irurueta.navigation.LockedException, com.irurueta.navigation.NotReadyException, CalibrationExceptionEstimates gyroscope calibration parameters containing bias, scale factors cross-coupling errors and g-dependant cross biases.- Throws:
com.irurueta.navigation.LockedException
- if calibrator is currently running.com.irurueta.navigation.NotReadyException
- if calibrator is not ready.CalibrationException
- if estimation fails for numerical reasons.
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getMethod
public com.irurueta.numerical.robust.RobustEstimatorMethod getMethod()Returns method being used for robust estimation.- Specified by:
getMethod
in classRobustKnownFrameGyroscopeCalibrator
- Returns:
- method being used for robust estimation.
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isQualityScoresRequired
public boolean isQualityScoresRequired()Indicates whether this calibrator requires quality scores for each measurement/sequence or not.- Returns:
- true if quality scores are required, false otherwise.
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