Abstract: Disclosed is a method for automatically executing a vehicle function of a vehicle based on spatially resolved raw sensor data for environment perception generated by at least one sensor of the vehicle. The method comprises receiving spatially resolved raw sensor data generated by the at least one sensor and processing sensor data which are characteristic of the spatially resolved raw sensor data using a processor. The processor may determine at least one region of interest of the sensor data and at least one class for classifying the region of interest. The method further comprises processing the sensor data based on the determined region of interest and hereby determining at least one local quality parameter which is characteristic for the quality of the sensor data with respect to at least a section of the region of interest and executing the vehicle function in dependence on the local quality parameter.

Abstract: A method, a computer program with instructions, and an apparatus for configuring a control system for an at least partially autonomous transportation vehicle. Data relating to the driving situation are captured, selection criteria are then determined from the available data, two or more AI modules are selected from a library of AI modules during driving based on selection criteria, and combined execution of the selected two or more AI modules by the control system is initiated.

Abstract: The present invention relates to a method for processing input data provided by a sensor system of a motor vehicle, and also relates to a classifier provided using such a method. In a first step, an AI module to be classified is selected. In addition, a suitable test data set is selected. The AI module is then applied to data points of the test data set. Associated ground truths and contextual parameters are known for the data points. On the basis of the outputs of the AI module, a functional quality is then determined for each of the data points. Finally, a classifier for the AI module is created, which outputs a functional quality for given contextual parameters.

Abstract: Method for automatically executing a vehicle function of a vehicle based on spatially resolved raw sensor data for environment perception generated by at least one sensor for environment detection of the vehicle, comprising: receiving spatially resolved raw sensor data generated by the at least one sensor of the vehicle; processing sensor data which are characteristic of the spatially resolved raw sensor data by a processor, the processor determining at least one region of interest of the sensor data and at least one class for classifying the region of interest; processing the sensor data by an evaluation circuit based on the determined region of interest and hereby determining at least one local quality parameter which is characteristic for the quality of the sensor data with respect to at least a section of the region of interest; executing the vehicle function in dependence on the local quality parameter.

Abstract: A method, a computer program with instructions, and an apparatus for configuring a control system for an at least partially autonomous transportation vehicle. Data relating to the driving situation are captured, selection criteria are then determined from the available data, two or more AI modules are selected from a library of AI modules during driving based on selection criteria, and combined execution of the selected two or more AI modules by the control system is initiated.