Abstract: A method for operating an at least partially automated vehicle. The method includes: supplying surroundings data detected with the aid of sensors to at least three AI computing units which are independent of one another; generating data regarding at least one object from the surroundings data; carrying out a plausibility check of the pieces of data with respect to one another with the aid of majority voting; and using the data for which the plausibility check has been carried out for controlling, at least in a semi-automated manner, a lateral and/or longitudinal guidance of the at least partially automated vehicle.

Abstract: A method for controlling a driving function. In the method, input data relevant for the driving function are conveyed to a cluster, output data are respectively generated by redundant processing of the input data on at least a first processing unit and a second processing unit in the cluster, the respective output data are supplemented by control fields by each processing unit, the output data of the processing units are conveyed to a comparison and a result of the comparison is ascertained, and depending on the result, the output data are utilized on a case-by-case basis together with the respective control fields for the driving function if the output data and control fields bear the comparison, or are marked as erroneous if the output data or control fields deviate.