| AngleStatistics |
Angle statistics functions.
|
| DifferentialDrivePoseEstimator |
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.
|
| MecanumDrivePoseEstimator |
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.
|
| PoseEstimator<T extends WheelPositions<T>> |
This class wraps Odometry to fuse latency-compensated vision measurements with encoder
measurements. |
| 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. |
| 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.
|