Abstract: The invention relates to a method for determining a potential conflict situation (2) between objects within a multidimensional traffic area (1), with the objects each moving on predetermined trajectories (T1 to T11), having the following steps: a) subdivision of the traffic area (1), with respect to at least one dimension (x, y, z, t) of the traffic area (1), into at least two partial traffic areas (11, 12, 13, 14, 41, 42, 51, 52, 53, 61), and b) repetition of steps a) and b) corresponding to those partial traffic areas (11, 12, 13, 14, 41, 42, 51, 52, 53, 61) which were subdivided in step a) and are influenced by at least two trajectories (T2, T3), with a potential conflict situation (2) between at least two trajectories (T2, T3) which jointly influence a partial traffic area (113) being determined as a function of an extent with respect to at least one dimension (x, y, z, t) of the partial traffic area (113).

Abstract: The invention relates to a method for determining a potential conflict situation (2) between objects within a multidimensional traffic area (1), with the objects each moving on predetermined trajectories (T1 to T11), having the following steps: a) subdivision of the traffic area (1), with respect to at least one dimension (x, y, z, t) of the traffic area (1), into at least two partial traffic areas (11, 12, 13, 14, 41, 42, 51, 52, 53, 61), and b) repetition of steps a) and b) corresponding to those partial traffic areas (11, 12, 13, 14, 41, 42, 51, 52, 53, 61) which were subdivided in step a) and are influenced by at least two trajectories (T2, T3), with a potential conflict situation (2) between at least two trajectories (T2, T3) which jointly influence a partial traffic area (113) being determined as a function of an extent with respect to at least one dimension (x, y, z, t) of the partial traffic area (113).

Abstract: A method for characterization of objects has the steps of: a) describing an object with an elliptical self-adjoint eigenvalue problem in order to form an isometrically invariant model; b) determining eigenvalues of the eigenvalue problem; and c) characterizing the object by the eigenvalues.