SELECTION OF DRIVING MANEUVERS FOR AT LEAST SEMI-AUTONOMOUSLY DRIVING VEHICLES

The invention relates to a method (100) for selecting a driving maneuver (4) to be carried out by an at least semi-autonomously driving vehicle (50), comprising the steps: - using measurement data (51a) of at least one sensor (51) carried by the vehicle, creating (110) a representation (61) of the situation (60) the vehicle (50) is in; - mapping (120) the representation (61) of the situation (60) to a probability distribution (2) by means of a trained machine learning model (1), which probability distribution specifies a probability (2a-2f) for every driving maneuver (3a-3f) from a predefined catalog of available driving maneuvers (3a-3f) with which said driving maneuver (3a-3f) is carried out; - selecting (150) a driving maneuver (3a-3f) from the probability distribution (2, 2') as the driving maneuver (4) to be carried out; - wherein, in addition to using at least one aspect (62) of the situation (60) the vehicle (50) is in, a subset of driving maneuvers (3a*-3f*) which are disallowed in this situation (60) is determined (130, 160), and wherein this disallowed driving maneuver (3a*-3f*) is prevented from being carried out (140, 170).