This work is concerned with the simultaneous tracking and shape estimation of a mobile extended
object based on noisy sensor measurements. Novel methods are developed for coping with the
following two main challenges: i) The computational complexity due to the nonlinearity and
high-dimensionality of the problem and ii) the lack of statistical knowledge about possible
measurement sources on the extended object.
