Class SwervePoseEstimator2
SwerveDrivePoseEstimator which takes into account gyroscope pitch and roll to achieve a more
accurate estimation, originally made by Team 1466.-
Nested Class Summary
Nested ClassesModifier and TypeClassDescriptionprivate classRepresents an odometry record. -
Field Summary
FieldsModifier and TypeFieldDescriptionprivate final edu.wpi.first.math.kinematics.SwerveDriveKinematicsSwerve drive kinematics.private final intNumber of swerve modules.private final SwerveDriveOdometry2Enhanced swerve drive odometry.private final edu.wpi.first.math.interpolation.TimeInterpolatableBuffer<SwervePoseEstimator2.InterpolationRecord>Interpolation buffer.private final edu.wpi.first.math.Matrix<edu.wpi.first.math.numbers.N3,edu.wpi.first.math.numbers.N1> Matrix quotient.private final edu.wpi.first.math.Matrix<edu.wpi.first.math.numbers.N3,edu.wpi.first.math.numbers.N3> Vision standard deviations. -
Constructor Summary
ConstructorsConstructorDescriptionSwervePoseEstimator2(edu.wpi.first.math.kinematics.SwerveDriveKinematics kinematics, edu.wpi.first.math.geometry.Rotation2d gyroAngle, edu.wpi.first.math.kinematics.SwerveModulePosition[] modulePositions, edu.wpi.first.math.geometry.Pose2d initialPoseMeters) Constructs a SwerveDrivePoseEstimator with default standard deviations for the model and vision measurements.SwervePoseEstimator2(edu.wpi.first.math.kinematics.SwerveDriveKinematics kinematics, edu.wpi.first.math.geometry.Rotation2d gyroAngle, edu.wpi.first.math.kinematics.SwerveModulePosition[] modulePositions, edu.wpi.first.math.geometry.Pose2d initialPoseMeters, edu.wpi.first.math.Matrix<edu.wpi.first.math.numbers.N3, edu.wpi.first.math.numbers.N1> stateStdDevs, edu.wpi.first.math.Matrix<edu.wpi.first.math.numbers.N3, edu.wpi.first.math.numbers.N1> visionMeasurementStdDevs) Constructs a SwerveDrivePoseEstimator. -
Method Summary
Modifier and TypeMethodDescriptionvoidaddVisionMeasurement(edu.wpi.first.math.geometry.Pose2d visionRobotPoseMeters, double timestampSeconds) Adds a vision measurement to the Kalman Filter.voidaddVisionMeasurement(edu.wpi.first.math.geometry.Pose2d visionRobotPoseMeters, double timestampSeconds, edu.wpi.first.math.Matrix<edu.wpi.first.math.numbers.N3, edu.wpi.first.math.numbers.N1> visionMeasurementStdDevs) Adds a vision measurement to the Kalman Filter.edu.wpi.first.math.geometry.Pose2dGets the estimated robot pose.voidresetPosition(edu.wpi.first.math.geometry.Rotation2d gyroAngle, edu.wpi.first.math.kinematics.SwerveModulePosition[] modulePositions, edu.wpi.first.math.geometry.Pose2d poseMeters) Resets the robot's position on the field.voidsetVisionMeasurementStdDevs(edu.wpi.first.math.Matrix<edu.wpi.first.math.numbers.N3, edu.wpi.first.math.numbers.N1> visionMeasurementStdDevs) Sets the pose estimator's trust of global measurements.edu.wpi.first.math.geometry.Pose2dupdate(edu.wpi.first.math.geometry.Rotation2d gyroAngle, edu.wpi.first.math.geometry.Rotation2d gyroPitch, edu.wpi.first.math.geometry.Rotation2d gyroRoll, edu.wpi.first.math.kinematics.SwerveModulePosition[] modulePositions) Updates the pose estimator with wheel encoder and gyro information.edu.wpi.first.math.geometry.Pose2dupdateWithTime(double currentTimeSeconds, edu.wpi.first.math.geometry.Rotation2d gyroAngle, edu.wpi.first.math.geometry.Rotation2d gyroPitch, edu.wpi.first.math.geometry.Rotation2d gyroRoll, edu.wpi.first.math.kinematics.SwerveModulePosition[] modulePositions) Updates the pose estimator with wheel encoder and gyro information.
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Field Details
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m_kinematics
private final edu.wpi.first.math.kinematics.SwerveDriveKinematics m_kinematicsSwerve drive kinematics. -
m_odometry
Enhanced swerve drive odometry. -
m_q
private final edu.wpi.first.math.Matrix<edu.wpi.first.math.numbers.N3,edu.wpi.first.math.numbers.N1> m_qMatrix quotient. -
m_numModules
private final int m_numModulesNumber of swerve modules. -
m_poseBuffer
private final edu.wpi.first.math.interpolation.TimeInterpolatableBuffer<SwervePoseEstimator2.InterpolationRecord> m_poseBufferInterpolation buffer. -
m_visionK
private final edu.wpi.first.math.Matrix<edu.wpi.first.math.numbers.N3,edu.wpi.first.math.numbers.N3> m_visionKVision standard deviations.
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Constructor Details
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SwervePoseEstimator2
public SwervePoseEstimator2(edu.wpi.first.math.kinematics.SwerveDriveKinematics kinematics, edu.wpi.first.math.geometry.Rotation2d gyroAngle, edu.wpi.first.math.kinematics.SwerveModulePosition[] modulePositions, edu.wpi.first.math.geometry.Pose2d initialPoseMeters) Constructs a SwerveDrivePoseEstimator with default standard deviations for the model and vision measurements.The default standard deviations of the model states are 0.1 meters for x, 0.1 meters for y, and 0.1 radians for heading. The default standard deviations of the vision measurements are 0.9 meters for x, 0.9 meters for y, and 0.9 radians for heading.
- Parameters:
kinematics- A correctly-configured kinematics object for your drivetrain.gyroAngle- The current gyro angle.modulePositions- The current distance measurements and rotations of the swerve modules.initialPoseMeters- The starting pose estimate.
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SwervePoseEstimator2
public SwervePoseEstimator2(edu.wpi.first.math.kinematics.SwerveDriveKinematics kinematics, edu.wpi.first.math.geometry.Rotation2d gyroAngle, edu.wpi.first.math.kinematics.SwerveModulePosition[] modulePositions, edu.wpi.first.math.geometry.Pose2d initialPoseMeters, edu.wpi.first.math.Matrix<edu.wpi.first.math.numbers.N3, edu.wpi.first.math.numbers.N1> stateStdDevs, edu.wpi.first.math.Matrix<edu.wpi.first.math.numbers.N3, edu.wpi.first.math.numbers.N1> visionMeasurementStdDevs) Constructs a SwerveDrivePoseEstimator.- Parameters:
kinematics- A correctly-configured kinematics object for your drivetrain.gyroAngle- The current gyro angle.modulePositions- The current distance and rotation measurements of the swerve modules.initialPoseMeters- The starting pose estimate.stateStdDevs- Standard deviations of the pose estimate (x position in meters, y position in meters, and heading in radians). Increase these numbers to trust your state estimate less.visionMeasurementStdDevs- Standard deviations of the vision pose measurement (x position in meters, y position in meters, and heading in radians). Increase these numbers to trust the vision pose measurement less.
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Method Details
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setVisionMeasurementStdDevs
public void setVisionMeasurementStdDevs(edu.wpi.first.math.Matrix<edu.wpi.first.math.numbers.N3, edu.wpi.first.math.numbers.N1> visionMeasurementStdDevs) Sets the pose estimator's trust of global measurements. This might be used to change trust in vision measurements after the autonomous period, or to change trust as distance to a vision target increases.- Parameters:
visionMeasurementStdDevs- Standard deviations of the vision measurements. Increase these numbers to trust global measurements from vision less. This matrix is in the form [x, y, theta]^T, with units in meters and radians.
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resetPosition
public void resetPosition(edu.wpi.first.math.geometry.Rotation2d gyroAngle, edu.wpi.first.math.kinematics.SwerveModulePosition[] modulePositions, edu.wpi.first.math.geometry.Pose2d poseMeters) Resets the robot's position on the field.The gyroscope angle does not need to be reset in the user's robot code. The library automatically takes care of offsetting the gyro angle.
- Parameters:
gyroAngle- The angle reported by the gyroscope.modulePositions- The current distance measurements and rotations of the swerve modules.poseMeters- The position on the field that your robot is at.
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getEstimatedPosition
public edu.wpi.first.math.geometry.Pose2d getEstimatedPosition()Gets the estimated robot pose.- Returns:
- The estimated robot pose in meters.
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addVisionMeasurement
public void addVisionMeasurement(edu.wpi.first.math.geometry.Pose2d visionRobotPoseMeters, double timestampSeconds) Adds a vision measurement to the Kalman Filter. This will correct the odometry pose estimate while still accounting for measurement noise.This method can be called as infrequently as you want, as long as you are calling
SwerveDrivePoseEstimator.update(edu.wpi.first.math.geometry.Rotation2d, edu.wpi.first.math.kinematics.SwerveModulePosition[])every loop.To promote stability of the pose estimate and make it robust to bad vision data, we recommend only adding vision measurements that are already within one meter or so of the current pose estimate.
- Parameters:
visionRobotPoseMeters- The pose of the robot as measured by the vision camera.timestampSeconds- The timestamp of the vision measurement in seconds. Note that if you don't use your own time source by callingSwerveDrivePoseEstimator.updateWithTime(double, Rotation2d, SwerveModulePosition[])then you must use a timestamp with an epoch since FPGA startup (i.e., the epoch of this timestamp is the same epoch asTimer.getFPGATimestamp().) This means that you should useTimer.getFPGATimestamp()as your time source or sync the epochs.
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addVisionMeasurement
public void addVisionMeasurement(edu.wpi.first.math.geometry.Pose2d visionRobotPoseMeters, double timestampSeconds, edu.wpi.first.math.Matrix<edu.wpi.first.math.numbers.N3, edu.wpi.first.math.numbers.N1> visionMeasurementStdDevs) Adds a vision measurement to the Kalman Filter. This will correct the odometry pose estimate while still accounting for measurement noise.This method can be called as infrequently as you want, as long as you are calling
SwerveDrivePoseEstimator.update(edu.wpi.first.math.geometry.Rotation2d, edu.wpi.first.math.kinematics.SwerveModulePosition[])every loop.To promote stability of the pose estimate and make it robust to bad vision data, we recommend only adding vision measurements that are already within one meter or so of the current pose estimate.
Note that the vision measurement standard deviations passed into this method will continue to apply to future measurements until a subsequent call to
SwerveDrivePoseEstimator.setVisionMeasurementStdDevs(Matrix)or this method.- Parameters:
visionRobotPoseMeters- The pose of the robot as measured by the vision camera.timestampSeconds- The timestamp of the vision measurement in seconds. Note that if you don't use your own time source by callingSwerveDrivePoseEstimator.updateWithTime(double, Rotation2d, SwerveModulePosition[]), then you must use a timestamp with an epoch since FPGA startup (i.e., the epoch of this timestamp is the same epoch asTimer.getFPGATimestamp()). This means that you should useTimer.getFPGATimestamp()as your time source in this case.visionMeasurementStdDevs- Standard deviations of the vision pose measurement (x position in meters, y position in meters, and heading in radians). Increase these numbers to trust the vision pose measurement less.
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update
public edu.wpi.first.math.geometry.Pose2d update(edu.wpi.first.math.geometry.Rotation2d gyroAngle, edu.wpi.first.math.geometry.Rotation2d gyroPitch, edu.wpi.first.math.geometry.Rotation2d gyroRoll, edu.wpi.first.math.kinematics.SwerveModulePosition[] modulePositions) Updates the pose estimator with wheel encoder and gyro information. This should be called every loop.- Parameters:
gyroAngle- The current gyro angle.gyroPitch- The current gyro pitch.gyroRoll- The current gyro roll.modulePositions- The current distance measurements and rotations of the swerve modules.- Returns:
- The estimated pose of the robot in meters.
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updateWithTime
public edu.wpi.first.math.geometry.Pose2d updateWithTime(double currentTimeSeconds, edu.wpi.first.math.geometry.Rotation2d gyroAngle, edu.wpi.first.math.geometry.Rotation2d gyroPitch, edu.wpi.first.math.geometry.Rotation2d gyroRoll, edu.wpi.first.math.kinematics.SwerveModulePosition[] modulePositions) Updates the pose estimator with wheel encoder and gyro information. This should be called every loop.- Parameters:
currentTimeSeconds- Time at which this method was called, in seconds.gyroAngle- The current gyro angle.gyroPitch- The current gyro pitch.gyroRoll- The current gyro roll.modulePositions- The current distance measurements and rotations of the swerve modules.- Returns:
- The estimated pose of the robot in meters.
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