MORE REALISTIC SIMULATION OF PHYSICAL MEASUREMENT DATA

摘要

A method (100) for impressing the influence of a physical property (Ia), which is shared by the measurement data (1) obtained by physical measurement and contained in at least one learning scatter plot P_L in a domain B, onto simulated measurement data (2) in a simulation scatter plot P_A in a domain A, the measurement data (1, 2) in the scatter plots P_L and P_A in each case representing coordinates, and the method comprising the following steps: • the simulation scatter plot P_A is converted into a density distribution p_A in the domain A (110); • the density distribution p_A is converted by a transformation into a density distribution p_B in the domain B (120), wherein this transformation is such that in domain B it is indistinguishable whether a given density distribution p was obtained directly in the domain B as a density distribution p_B sb /of a learning scatter plot P_L or as transformation pe of a density distribution p_A; • a result scatter plot P_B, which is statistically consistent with the density distribution pe is produced in the domain B (130); the result scatter plot P_B is assessed as result of the impressing of the influence of the desired property (1a) on the simulated measurement data (2) in the simulation scatter plot P_A (140). The invention also relates to: a training method (200); a data set obtained by means of a method (100); a trained AI module and a corresponding data set; a method (300) for identifying objects (5a) and situations (5b); and an associated computer program.