estimation.kalman¶
Kalman filter of a robot’s state (q, v), with the process model taken from its own dynamics.
Module Attributes
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Default variance of the process noise, on every entry of (q, v). |
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Default variance of the state after a reset, on every entry of (q, v). |
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How far the sigma points of the unscented prediction lie from the estimate, in standard deviations (or less, in a state of two entries). |
Classes
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Kalman filter of a robot's state (q, v): its dynamics predict, the sensors' readings correct. |