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Abstract

Method, device, computer program and computer program product for tracking the path of motion of a moving object. The method includes a) providing data of at least one state variable to be determined, which influences the movement of the moving object, at a first point in time; b) initializing the probability density (p) of the at least one state variable to be determined at the first point in time; c) predicting of the probability density (p) of the at least one state variable to be determined at a next point in time after the first point in time; d) verifying of whether measurement data are available that can be used for a calculation of the probability density (p) of the at least one state variable to be determined, and d′) recalculating the probability density (p) with these measurement data when such data is available; e) calculating the prediction values of the state variable(s) to be determined from the probability density (p); f) outputting the calculated prediction values to a downstream data processing device; and g) repeating the steps c) through f). The steps of initializing the probability density (p) of step b); predicting the probability density (p) of step c); recalculating the probability density (p) of step d′); and calculating the prediction values of step e) are performed by discretizing the probability density (p) on sparse grids.

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