Abstract: A method for processing sensor data representing one or more objects. The method includes semantically segmenting the sensor data so that the sensor data are divided into sensor data portions so that, for each of the one or more objects, a respective sensor data portion contains that part of the sensor data that represents the object; ascertaining, for a processing task through which the sensor data are to be processed, a division of the processing task into subtasks comprising at least one subtask to be outsourced, wherein it is ensured that each subtask to be outsourced processes respective sub-data of the sensor data, which sub-data contain, for each sensor data portion, at most a part of the sensor data portion; and outsourcing the at least one subtask to be outsourced.

Abstract: A method for a configuration in a network. The method includes the following steps for at least one real-time application, the real-time application including multiple tasks chained in the network: receiving at least one message unit from a preceding task of the real-time application; ascertaining an execution time of the preceding task based on the message unit received; evaluating the ascertained execution time, which includes at least one comparison of the ascertained execution time to at least one time allowance, to thereby determine an instantaneous slack of the real-time application, prioritizing the message unit based on the ascertained slack and forwarding the message unit in the network as a function of the prioritization to a following task of the real-time application.

Abstract: A computer-implemented method for planning an allocation of at least one computational task from a computational resource comprised in at least one vehicle to one or more of a plurality of external computational resources in a vehicular communications network. The method comprises obtaining a spatial representation of a region characterising at least one route of a vehicle from a first location to a second location, and data characterising an availability of external computational resources at a plurality of locations in the region, providing at least one computational requirement indication of at least one atomic computational task required by the vehicle during a prospective movement of the vehicle from the first location to the second location, comparing the at least one computational requirement indication to the data characterising the availability of external computational resources at the plurality of locations in the region.