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Explain the principle of Data Association in context of Simultaneous Localization and Mapping ( SLAM ) . Explain how the state variable of the filter

Explain the principle of Data Association in context of Simultaneous Localization and Mapping (SLAM).
Explain how the state variable of the filter is composed?
Draw an example and explain the estimation of the parameters used for decision in the data association step.
How is the result of the Data Association used in the update step of the Kalman processing. Which matrix gets modified with this result and how?
which distance is compared for association (equation).

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