Class PROMedSRobustRangingRadioSourceEstimator2D<S extends RadioSource>
java.lang.Object
com.irurueta.navigation.indoor.radiosource.RobustRadioSourceEstimator<com.irurueta.geometry.Point2D,RangingReadingLocated<S,com.irurueta.geometry.Point2D>,RobustRangingRadioSourceEstimatorListener<S,com.irurueta.geometry.Point2D>>
com.irurueta.navigation.indoor.radiosource.RobustRangingRadioSourceEstimator<S,com.irurueta.geometry.Point2D>
com.irurueta.navigation.indoor.radiosource.RobustRangingRadioSourceEstimator2D<S>
com.irurueta.navigation.indoor.radiosource.PROMedSRobustRangingRadioSourceEstimator2D<S>
- Type Parameters:
S- aRadioSourcetype.
public class PROMedSRobustRangingRadioSourceEstimator2D<S extends RadioSource>
extends RobustRangingRadioSourceEstimator2D<S>
Robustly estimated 2D position of a radio source (e.g. Wi-Fi
access point or bluetooth beacon), by discarding outliers using PROMedS
algorithm.
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Nested Class Summary
Nested classes/interfaces inherited from class com.irurueta.navigation.indoor.radiosource.RobustRangingRadioSourceEstimator
RobustRangingRadioSourceEstimator.Solution<P extends com.irurueta.geometry.Point<?>> -
Field Summary
FieldsModifier and TypeFieldDescriptionstatic final doubleDefault value to be used for stop threshold.static final doubleMinimum allowed stop threshold value.private double[]Quality scores corresponding to each provided sample.private doubleThreshold to be used to keep the algorithm iterating in case that best estimated threshold using median of residuals is not small enough.Fields inherited from class com.irurueta.navigation.indoor.radiosource.RobustRangingRadioSourceEstimator2D
innerEstimatorFields inherited from class com.irurueta.navigation.indoor.radiosource.RobustRangingRadioSourceEstimator
DEFAULT_USE_READING_POSITION_COVARIANCES, initialPosition, useReadingPositionCovariancesFields inherited from class com.irurueta.navigation.indoor.radiosource.RobustRadioSourceEstimator
confidence, covariance, DEFAULT_CONFIDENCE, DEFAULT_KEEP_COVARIANCE, DEFAULT_MAX_ITERATIONS, DEFAULT_PROGRESS_DELTA, DEFAULT_REFINE_RESULT, DEFAULT_ROBUST_METHOD, estimatedPosition, estimatedPositionCovariance, inliersData, keepCovariance, listener, locked, MAX_CONFIDENCE, MAX_PROGRESS_DELTA, maxIterations, MIN_CONFIDENCE, MIN_ITERATIONS, MIN_PROGRESS_DELTA, preliminarySubsetSize, progressDelta, readings, refineResult -
Constructor Summary
ConstructorsConstructorDescriptionConstructor.PROMedSRobustRangingRadioSourceEstimator2D(double[] qualityScores) Constructor.PROMedSRobustRangingRadioSourceEstimator2D(double[] qualityScores, com.irurueta.geometry.Point2D initialPosition) Constructor.PROMedSRobustRangingRadioSourceEstimator2D(double[] qualityScores, com.irurueta.geometry.Point2D initialPosition, RobustRangingRadioSourceEstimatorListener<S, com.irurueta.geometry.Point2D> listener) Constructor.PROMedSRobustRangingRadioSourceEstimator2D(double[] qualityScores, RobustRangingRadioSourceEstimatorListener<S, com.irurueta.geometry.Point2D> listener) Constructor.PROMedSRobustRangingRadioSourceEstimator2D(double[] qualityScores, List<? extends RangingReadingLocated<S, com.irurueta.geometry.Point2D>> readings) Constructor.PROMedSRobustRangingRadioSourceEstimator2D(double[] qualityScores, List<? extends RangingReadingLocated<S, com.irurueta.geometry.Point2D>> readings, com.irurueta.geometry.Point2D initialPosition) Constructor.PROMedSRobustRangingRadioSourceEstimator2D(double[] qualityScores, List<? extends RangingReadingLocated<S, com.irurueta.geometry.Point2D>> readings, com.irurueta.geometry.Point2D initialPosition, RobustRangingRadioSourceEstimatorListener<S, com.irurueta.geometry.Point2D> listener) Constructor.PROMedSRobustRangingRadioSourceEstimator2D(double[] qualityScores, List<? extends RangingReadingLocated<S, com.irurueta.geometry.Point2D>> readings, RobustRangingRadioSourceEstimatorListener<S, com.irurueta.geometry.Point2D> listener) Constructor.PROMedSRobustRangingRadioSourceEstimator2D(com.irurueta.geometry.Point2D initialPosition) Constructor.PROMedSRobustRangingRadioSourceEstimator2D(com.irurueta.geometry.Point2D initialPosition, RobustRangingRadioSourceEstimatorListener<S, com.irurueta.geometry.Point2D> listener) Constructor.PROMedSRobustRangingRadioSourceEstimator2D(RobustRangingRadioSourceEstimatorListener<S, com.irurueta.geometry.Point2D> listener) Constructor.PROMedSRobustRangingRadioSourceEstimator2D(List<? extends RangingReadingLocated<S, com.irurueta.geometry.Point2D>> readings) Constructor.PROMedSRobustRangingRadioSourceEstimator2D(List<? extends RangingReadingLocated<S, com.irurueta.geometry.Point2D>> readings, com.irurueta.geometry.Point2D initialPosition) Constructor.PROMedSRobustRangingRadioSourceEstimator2D(List<? extends RangingReadingLocated<S, com.irurueta.geometry.Point2D>> readings, com.irurueta.geometry.Point2D initialPosition, RobustRangingRadioSourceEstimatorListener<S, com.irurueta.geometry.Point2D> listener) Constructor.PROMedSRobustRangingRadioSourceEstimator2D(List<? extends RangingReadingLocated<S, com.irurueta.geometry.Point2D>> readings, RobustRangingRadioSourceEstimatorListener<S, com.irurueta.geometry.Point2D> listener) Constructor. -
Method Summary
Modifier and TypeMethodDescriptionvoidestimate()Robustly estimates position for a radio source.com.irurueta.numerical.robust.RobustEstimatorMethodReturns method being used for robust estimation.double[]Returns quality scores corresponding to each pair of positions and distances (i.e. sample).doubleReturns threshold to be used to keep the algorithm iterating in case that best estimated threshold using median of residuals is not small enough.private voidinternalSetQualityScores(double[] qualityScores) Sets quality scores corresponding to each provided sample.booleanisReady()Indicates whether solver is ready to find a solution.voidsetQualityScores(double[] qualityScores) Sets quality scores corresponding to each pair of positions and distances (i.e. sample).voidsetStopThreshold(double stopThreshold) Sets threshold to be used to keep the algorithm iterating in case that best estimated threshold using median of residuals is not small enough.Methods inherited from class com.irurueta.navigation.indoor.radiosource.RobustRangingRadioSourceEstimator2D
attemptRefine, create, create, create, create, create, create, create, create, create, create, create, create, create, create, create, create, getEstimatedRadioSource, getMinReadings, getNumberOfDimensions, isHomogeneousLinearSolverUsed, setHomogeneousLinearSolverUsed, solvePreliminarySolutionsMethods inherited from class com.irurueta.navigation.indoor.radiosource.RobustRangingRadioSourceEstimator
getInitialPosition, getUseReadingPositionCovariance, residual, setInitialPosition, setUseReadingPositionCovariancesMethods inherited from class com.irurueta.navigation.indoor.radiosource.RobustRadioSourceEstimator
areValidReadings, getConfidence, getCovariance, getEstimatedPosition, getEstimatedPositionCovariance, getInliersData, getListener, getMaxIterations, getPreliminarySubsetSize, getProgressDelta, getReadings, internalSetReadings, isCovarianceKept, isLocked, isResultRefined, setConfidence, setCovarianceKept, setListener, setMaxIterations, setPreliminarySubsetSize, setProgressDelta, setReadings, setResultRefined
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Field Details
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DEFAULT_STOP_THRESHOLD
public static final double DEFAULT_STOP_THRESHOLDDefault value to be used for stop threshold. Stop threshold can be used to avoid keeping the algorithm unnecessarily iterating in case that best estimated threshold using median of residuals is not small enough. Once a solution is found that generates a threshold below this value, the algorithm will stop. The stop threshold can be used to prevent the LMedS algorithm iterating too many times in cases where samples have a very similar accuracy. For instance, in cases where proportion of outliers is very small (close to 0%), and samples are very accurate (i.e. 1e-6), the algorithm would iterate for a long time trying to find the best solution when indeed there is no need to do that if a reasonable threshold has already been reached. Because of this behaviour the stop threshold can be set to a value much lower than the one typically used in RANSAC, and yet the algorithm could still produce even smaller thresholds in estimated results.- See Also:
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MIN_STOP_THRESHOLD
public static final double MIN_STOP_THRESHOLDMinimum allowed stop threshold value.- See Also:
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stopThreshold
private double stopThresholdThreshold to be used to keep the algorithm iterating in case that best estimated threshold using median of residuals is not small enough. Once a solution is found that generates a threshold below this value, the algorithm will stop. The stop threshold can be used to prevent the LMedS algorithm iterating too many times in cases where samples have a very similar accuracy. For instance, in cases where proportion of outliers is very small (close to 0%), and samples are very accurate (i.e. 1e-6), the algorithm would iterate for a long time trying to find the best solution when indeed there is no need to do that if a reasonable threshold has already been reached. Because of this behaviour the stop threshold can be set to a value much lower than the one typically used in RANSAC, and yet the algorithm could still produce even smaller thresholds in estimated results. -
qualityScores
private double[] qualityScoresQuality scores corresponding to each provided sample. The larger the score value the better the quality of the sample.
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Constructor Details
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PROMedSRobustRangingRadioSourceEstimator2D
public PROMedSRobustRangingRadioSourceEstimator2D()Constructor. -
PROMedSRobustRangingRadioSourceEstimator2D
public PROMedSRobustRangingRadioSourceEstimator2D(List<? extends RangingReadingLocated<S, com.irurueta.geometry.Point2D>> readings) Constructor. Sets radio signal ranging readings belonging to the same radio source.- Parameters:
readings- radio signal ranging readings belonging to the same radio source.- Throws:
IllegalArgumentException- if readings are not valid.
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PROMedSRobustRangingRadioSourceEstimator2D
public PROMedSRobustRangingRadioSourceEstimator2D(com.irurueta.geometry.Point2D initialPosition) Constructor.- Parameters:
initialPosition- initial position to start the estimation or radio source position.
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PROMedSRobustRangingRadioSourceEstimator2D
public PROMedSRobustRangingRadioSourceEstimator2D(List<? extends RangingReadingLocated<S, com.irurueta.geometry.Point2D>> readings, com.irurueta.geometry.Point2D initialPosition) Constructor. Sets radio signal readings belonging to the same radio source.- Parameters:
readings- radio signal readings belonging to the same radio source.initialPosition- initial position to start the estimation of radio source position.- Throws:
IllegalArgumentException- if readings are not valid.
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PROMedSRobustRangingRadioSourceEstimator2D
public PROMedSRobustRangingRadioSourceEstimator2D(double[] qualityScores) Constructor.- Parameters:
qualityScores- quality scores corresponding to each provided sample. The larger the score value the better the quality of the sample.- Throws:
IllegalArgumentException- if quality scores is null, or length of quality scores is less than required minimum.
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PROMedSRobustRangingRadioSourceEstimator2D
public PROMedSRobustRangingRadioSourceEstimator2D(double[] qualityScores, List<? extends RangingReadingLocated<S, com.irurueta.geometry.Point2D>> readings) Constructor. Sets radio signal ranging readings belonging to the same radio source.- Parameters:
qualityScores- quality scores corresponding to each provided sample. The larger the score value the better the quality of the sample.readings- radio signal ranging readings belonging to the same radio source.- Throws:
IllegalArgumentException- if readings are not valid, quality scores is null, or length of quality scores is less than required minimum.
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PROMedSRobustRangingRadioSourceEstimator2D
public PROMedSRobustRangingRadioSourceEstimator2D(double[] qualityScores, com.irurueta.geometry.Point2D initialPosition) Constructor.- Parameters:
qualityScores- quality scores corresponding to each provided sample. The larger the score value the better the quality of the sample.initialPosition- initial position to start the estimation or radio source position.- Throws:
IllegalArgumentException- if quality scores is null, or length of quality scores is less than required minimum.
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PROMedSRobustRangingRadioSourceEstimator2D
public PROMedSRobustRangingRadioSourceEstimator2D(double[] qualityScores, List<? extends RangingReadingLocated<S, com.irurueta.geometry.Point2D>> readings, com.irurueta.geometry.Point2D initialPosition) Constructor. Sets radio signal readings belonging to the same radio source.- Parameters:
qualityScores- quality scores corresponding to each provided sample. The larger the score value the better the quality of the sample.readings- radio signal readings belonging to the same radio source.initialPosition- initial position to start the estimation of radio source position.- Throws:
IllegalArgumentException- if readings are not valid, quality scores is null, or length of quality scores is less than required minimum.
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Method Details
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getStopThreshold
public double getStopThreshold()Returns threshold to be used to keep the algorithm iterating in case that best estimated threshold using median of residuals is not small enough. Once a solution is found that generates a threshold below this value, the algorithm will stop. The stop threshold can be used to prevent the LMedS algorithm to iterate too many times in cases where samples have a very similar accuracy. For instance, in cases where proportion of outliers is very small (close to 0%), and samples are very accurate (i.e. 1e-6), the algorithm would iterate for a long time trying to find the best solution when indeed there is no need to do that if a reasonable threshold has already been reached. Because of this behaviour the stop threshold can be set to a value much lower than the one typically used in RANSAC, and yet the algorithm could still produce even smaller thresholds in estimated results.- Returns:
- stop threshold to stop the algorithm prematurely when a certain accuracy has been reached.
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setStopThreshold
public void setStopThreshold(double stopThreshold) throws com.irurueta.navigation.LockedException Sets threshold to be used to keep the algorithm iterating in case that best estimated threshold using median of residuals is not small enough. Once a solution is found that generates a threshold below this value, the algorithm will stop. The stop threshold can be used to prevent the LMedS algorithm to iterate too many times in cases where samples have a very similar accuracy. For instance, in cases where proportion of outliers is very small (close to 0%), and samples are very accurate (i.e. 1e-6), the algorithm would iterate for a long time trying to find the best solution when indeed there is no need to do that if a reasonable threshold has already been reached. Because of this behaviour the stop threshold can be set to a value much lower than the one typically used in RANSAC, and yet the algorithm could still produce even smaller thresholds in estimated results.- Parameters:
stopThreshold- stop threshold to stop the algorithm prematurely when a certain accuracy has been reached.- Throws:
IllegalArgumentException- if provided value is zero or negative.com.irurueta.navigation.LockedException- if this solver is locked.
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getQualityScores
public double[] getQualityScores()Returns quality scores corresponding to each pair of positions and distances (i.e. sample). The larger the score value the better the quality of the sample. This implementation always returns null. Subclasses using quality scores must implement proper behavior.- Overrides:
getQualityScoresin classRobustRadioSourceEstimator<com.irurueta.geometry.Point2D,RangingReadingLocated<S extends RadioSource, com.irurueta.geometry.Point2D>, RobustRangingRadioSourceEstimatorListener<S extends RadioSource, com.irurueta.geometry.Point2D>> - Returns:
- quality scores corresponding to each sample.
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setQualityScores
public void setQualityScores(double[] qualityScores) throws com.irurueta.navigation.LockedException Sets quality scores corresponding to each pair of positions and distances (i.e. sample). The larger the score value the better the quality of the sample. This implementation makes no action. Subclasses using quality scores must implement proper behaviour.- Overrides:
setQualityScoresin classRobustRadioSourceEstimator<com.irurueta.geometry.Point2D,RangingReadingLocated<S extends RadioSource, com.irurueta.geometry.Point2D>, RobustRangingRadioSourceEstimatorListener<S extends RadioSource, com.irurueta.geometry.Point2D>> - Parameters:
qualityScores- quality scores corresponding to each pair of matched points.- Throws:
IllegalArgumentException- if provided quality scores length is smaller than minimum required samples.com.irurueta.navigation.LockedException- if robust solver is locked because an estimation is already in progress.
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isReady
public boolean isReady()Indicates whether solver is ready to find a solution.- Overrides:
isReadyin classRobustRangingRadioSourceEstimator<S extends RadioSource,com.irurueta.geometry.Point2D> - Returns:
- true if solver is ready, false otherwise.
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estimate
public void estimate() throws com.irurueta.navigation.LockedException, com.irurueta.navigation.NotReadyException, com.irurueta.numerical.robust.RobustEstimatorExceptionRobustly estimates position for a radio source.- Specified by:
estimatein classRobustRadioSourceEstimator<com.irurueta.geometry.Point2D,RangingReadingLocated<S extends RadioSource, com.irurueta.geometry.Point2D>, RobustRangingRadioSourceEstimatorListener<S extends RadioSource, com.irurueta.geometry.Point2D>> - Throws:
com.irurueta.navigation.LockedException- if instance is busy during estimation.com.irurueta.navigation.NotReadyException- if estimator is not ready.com.irurueta.numerical.robust.RobustEstimatorException- if estimation fails for any reason (i.e. numerical instability, no solution available, etc).
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getMethod
public com.irurueta.numerical.robust.RobustEstimatorMethod getMethod()Returns method being used for robust estimation.- Specified by:
getMethodin classRobustRangingRadioSourceEstimator<S extends RadioSource,com.irurueta.geometry.Point2D> - Returns:
- method being used for robust estimation.
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internalSetQualityScores
private void internalSetQualityScores(double[] qualityScores) Sets quality scores corresponding to each provided sample. This method is used internally and does not check whether instance is locked or not.- Parameters:
qualityScores- quality scores to be set.- Throws:
IllegalArgumentException- if provided quality scores length is smaller than 3 samples.
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