Package org.wpilib.math.estimator


package org.wpilib.math.estimator
  • Class
    Description
    Angle statistics functions.
    This class wraps Differential Drive Odometry to fuse latency-compensated vision measurements with differential drive encoder measurements.
    This class wraps Differential Drive Odometry to fuse latency-compensated vision measurements with differential drive encoder measurements.
    ExtendedKalmanFilter<States extends Num, Inputs extends Num, Outputs extends Num>
    A Kalman filter combines predictions from a model and measurements to give an estimate of the true system state.
    KalmanFilter<States extends Num, Inputs extends Num, Outputs extends Num>
    A Kalman filter combines predictions from a model and measurements to give an estimate of the true system state.
    KalmanFilterLatencyCompensator<S extends Num, I extends Num, O extends Num>
    This class incorporates time-delayed measurements into a Kalman filter's state estimate.
    KalmanTypeFilter<States extends Num, Inputs extends Num, Outputs extends Num>
    Interface for Kalman filters for use with KalmanFilterLatencyCompensator.
    This class wraps Mecanum Drive Odometry to fuse latency-compensated vision measurements with mecanum drive encoder distance measurements.
    This class wraps Mecanum Drive Odometry to fuse latency-compensated vision measurements with mecanum drive encoder distance measurements.
    Generates sigma points and weights according to Van der Merwe's 2004 dissertation[1] for the UnscentedKalmanFilter class.
    MerweUKF<States extends Num, Inputs extends Num, Outputs extends Num>
    An Unscented Kalman Filter using sigma points and weights from Van der Merwe's 2004 dissertation.
    This class wraps Odometry to fuse latency-compensated vision measurements with encoder measurements.
    This class wraps Odometry3d to fuse latency-compensated vision measurements with encoder measurements.
    S3SigmaPoints<States extends Num>
    Generates sigma points and weights according to Papakonstantinou's paper[1] for the UnscentedKalmanFilter class.
    S3UKF<States extends Num, Inputs extends Num, Outputs extends Num>
    An Unscented Kalman Filter using sigma points and weights from Papakonstantinou's paper.
    SigmaPoints<States extends Num>
    A sigma points generator for the UnscentedKalmanFilter class.
    SteadyStateKalmanFilter<States extends Num, Inputs extends Num, Outputs extends Num>
    A Kalman filter combines predictions from a model and measurements to give an estimate of the true system state.
    This class wraps Swerve Drive Odometry to fuse latency-compensated vision measurements with swerve drive encoder distance measurements.
    This class wraps Swerve Drive Odometry to fuse latency-compensated vision measurements with swerve drive encoder distance measurements.
    UnscentedKalmanFilter<States extends Num, Inputs extends Num, Outputs extends Num>
    A Kalman filter combines predictions from a model and measurements to give an estimate of the true system state.