Yeah. Using the Kalman filter just to determine the position from noisy position measurements really undercuts the capability of the filter to use system physics to estimate the true state.
In one of the most common applications of Kalman filters, autonomous robots (e.g., a robot vacuum or a commercial drone), the filters are around 9 to 12 dimensions.
In one of the most common applications of Kalman filters, autonomous robots (e.g., a robot vacuum or a commercial drone), the filters are around 9 to 12 dimensions.