Abstract: A computer-implemented method provides for terminating a scenario-based test process of a driver assistance system. The test process comprises a cycle and includes determining critical test cases and parameter combinations thereof. The method includes: performing at least one test of the driver assistance system after each iteration n of the cycle and determining a set of critical test cases; establishing, on that basis, a distance between a first set of critical test cases in the iteration n and a second set of critical test cases from the iteration n?1 or a distance between the first set of critical test cases in the iteration n and a predefined set of critical test cases; and terminating or continuing the cycle of the test process on the basis of a difference between the distance between the first set and the second set and a preset limit.

Abstract: The invention relates to a computer-implemented method for approximating a subset of test results of a virtual test of a device for the at least partially autonomous guidance of a motor vehicle. The invention further relates to a test unit for approximating a subset of test results of a virtual test of a device for the at least partially autonomous guidance of a motor vehicle. The invention also relates to a computer program and a computer-readable data carrier.

Abstract: A computer-implemented method provides for terminating a scenario-based test process of a driver assistance system. The test process comprises a cycle and includes determining critical test cases and parameter combinations thereof. The method includes: performing at least one test of the driver assistance system after each iteration n of the cycle and determining a set of critical test cases; establishing, on that basis, a distance between a first set of critical test cases in the iteration n and a second set of critical test cases from the iteration n?1 or a distance between the first set of critical test cases in the iteration n and a predefined set of critical test cases; and terminating or continuing the cycle of the test process on the basis of a difference between the distance between the first set and the second set and a preset limit.

Abstract: A computer-implemented method for determining a computational effort of a virtual test of a device for driving a motor vehicle at least partly autonomously includes: providing at least one parameter set of driving situation parameters and of configuration data of a first algorithm that performs the virtual test, wherein the virtual test performed by the first algorithm simulates the at least one parameter set of driving situation parameters, and wherein the result of the simulation is used to determine at least one further parameter set of driving situation parameters that is simulated in a subsequent iteration; applying a second algorithm to the at least one parameter set of driving situation parameters and the configuration data of the first algorithm; and outputting at least one numerical value that represents the computational effort of the virtual test.

Abstract: A computer-implemented method for the automatic provision of an Advice for test processes, wherein the Advice is determined by at least one Advice-generator and the Advice-generator for tests and/or simulations is selected manually and/or automatically, wherein the Advice-generator monitors at least two test runs, so that at least one event is detected in the test runs and at least one Advice is derived, wherein the Advice-generator is executed automatically by an Advice-generator mechanism during test runs and an Advice determined by the Advice-generator is provided to the test system and/or a user.

Abstract: A computer-implemented method for the evaluation of simulations and/or test cases in scenario-based testing and/or homologation of at least partially autonomous driving functions to be tested by key performance indicators (KPI), wherein KPIs are mapped by KPI plug-ins and KPI plug-ins are selected dynamically and reusably for simulations and/or test cases and wherein at least one KPI plug-in is selected by a KPI plug-in mechanism for purposes of simulation and/or test definition and is automatically executed in the execution by the KPI plug-in mechanism.

Abstract: A computer-implemented method for approximating test results of a virtual test of a device for the at least partially autonomous guidance of a motor vehicle. The invention further relates to a computer-implemented method for providing a trained, artificial neural network, a test unit, a computer program and a computer-readable data carrier.

Abstract: The invention relates to a computer-implemented method for approximating a subset of test results of a virtual test of a device for the at least partially autonomous guidance of a motor vehicle. The invention further relates to a test unit for approximating a subset of test results of a virtual test of a device for the at least partially autonomous guidance of a motor vehicle. The invention also relates to a computer program and a computer-readable data carrier.

Abstract: A computer-implemented method for training an artificial neural generator network of generative adversarial networks for the purpose of approximating second test results from an identified subset of first test results of a virtual test of a device for at the least partial autonomous guidance of a motor vehicle. The invention also relates to a computer-implemented method for training an artificial neural discriminator network, a test unit, a computer program and a computer-readable data carrier.