Package org.wpilib.math.estimator

package org.wpilib.math.estimator

Class	Description
AngleStatistics	Angle statistics functions.
DifferentialDrivePoseEstimator	This class wraps Differential Drive Odometry to fuse latency-compensated vision measurements with differential drive encoder measurements.
DifferentialDrivePoseEstimator3d	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.
MecanumDrivePoseEstimator	This class wraps Mecanum Drive Odometry to fuse latency-compensated vision measurements with mecanum drive encoder distance measurements.
MecanumDrivePoseEstimator3d	This class wraps Mecanum Drive Odometry to fuse latency-compensated vision measurements with mecanum drive encoder distance measurements.
MerweScaledSigmaPoints<S extends Num>	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.
PoseEstimator<T>	This class wraps Odometry to fuse latency-compensated vision measurements with encoder measurements.
PoseEstimator3d<T>	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.
SwerveDrivePoseEstimator	This class wraps Swerve Drive Odometry to fuse latency-compensated vision measurements with swerve drive encoder distance measurements.
SwerveDrivePoseEstimator3d	This class wraps Swerve Drive Odometry to fuse latency-compensated vision measurements with swerve drive encoder distance measurements.
TwoDeadWheelPoseEstimator	This class wraps Double Follower Wheel Odometry to fuse latency-compensated vision measurements with differential drive encoder measurements.
TwoDeadWheelPoseEstimator3d	This class wraps Two Dead Wheel Odometry to fuse latency-compensated vision measurements with two dead wheel 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.