Isn't it more than that though? It can be used to combine multiple data sources with varying degrees of uncertainty and change the confidence in each sensor on the fly. That's more than a low pass filter.
Absolutely. The Kalman filter has many uses, and filtering a single stream of data is only one of them. Sensor fusion is an important application, which I believe is mentioned in the first footnote.
