wpimath.estimator Package
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This class wraps an Unscented Kalman Filter to fuse latency-compensated vision measurements with differential drive encoder measurements. |
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A Kalman filter combines predictions from a model and measurements to give an estimate of the true system state. |
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A Kalman filter combines predictions from a model and measurements to give an estimate of the true system state. |
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A Kalman filter combines predictions from a model and measurements to give an estimate of the true system state. |
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A Kalman filter combines predictions from a model and measurements to give an estimate of the true system state. |
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A Kalman filter combines predictions from a model and measurements to give an estimate of the true system state. |
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A Kalman filter combines predictions from a model and measurements to give an estimate of the true system state. |
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This class wraps an Unscented Kalman Filter to fuse latency-compensated vision measurements with mecanum drive encoder velocity measurements. |
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This class wraps Swerve Drive Odometry to fuse latency-compensated vision measurements with swerve drive encoder distance measurements. |
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This class wraps Swerve Drive Odometry to fuse latency-compensated vision measurements with swerve drive encoder distance measurements. |
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This class wraps Swerve Drive Odometry to fuse latency-compensated vision measurements with swerve drive encoder distance measurements. |
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This class wraps Swerve Drive Odometry to fuse latency-compensated vision measurements with swerve drive encoder distance measurements. |