Abstract: A test bench for stimulating a photodetector, with a light signal device, which includes a planar arrangement of lighting elements that are able to be activated and deactivated independently of each other and which is designed to emit light emitted by any lighting element in an at least approximately collimated light beam, with a converging lens, which is designed and positioned to focus light beams emitted by the light signal device at an accumulation point, and with a retaining device for a photodetector arranged at the accumulation point, by means of which retaining device a photodetector can be placed at the accumulation point in such a way that a first light beam produced by any first light source and a second light beam produced by any second light source hit the photodetector at different spatial angles with respect to an optical axis of the test bench.

Abstract: A computer-implemented method for annotating driving scenario sensor data, including the steps of receiving raw sensor data, the raw sensor data comprising a plurality of successive LIDAR point clouds and/or a plurality of successive camera images, recognizing objects in each image of the camera data and/or each point cloud using one or more neural networks, correlating objects within successive images and/or point clouds, removing false positive results on the basis of plausibility criteria, and exporting the annotated sensor data of the driving scenario.

Abstract: A computer-implemented method and system for determining compatibility of system parameters for a test execution of a virtual test of a device for at least partial autonomous guidance of a motor vehicle, comprising an application of a rule-based algorithm to the at least one first system parameter for determining compatibility of the at least one first system parameter with at least one further system parameter from a group comprising the system to be tested, the test environment, the test system, the test scenario and/or the vehicle type to be tested, wherein the rule-based algorithm determines compatibility on the basis of a hardware and/or software component that executes the virtual test of the device for at least partial autonomous guidance of the motor vehicle and/or provides test data.

Abstract: An apparatus or method for calibrating a battery emulator is proposed. The battery emulator emulates a plurality of cells connected in series, wherein each emulated cell has taps over which at least one emulated quantity is tapped, wherein the apparatus comprises a switching apparatus via which a calibration standard is switchably connectable with different taps.

Abstract: A computer-implemented method and system for classifying traffic situations of a virtual test. The method comprises concatenating a plurality of determined data segments of the lateral and longitudinal behavior of the ego vehicle to identify vehicle actions and classifying traffic situations by linking a subset of the determined data segments of the lateral and longitudinal behavior of the ego vehicle with the identified vehicle actions. The invention further comprises a computer-implemented method for providing a trained machine learning algorithm for classifying traffic situations of a virtual test.

Abstract: A method is provided for data communication between at least one subregion of an FPGA and another region, in which the data communication is resource efficient. This is achieved by the fact that the data communication, i.e., the reading and writing of a Block RAM from a location to any Block RAM or from any Block RAM to any Block RAM of the FPGA takes place via command sequences of an internal configuration interface of the FPGA.

Abstract: A method for creating a three-dimensional simulation environment, including: providing a basic library containing three-dimensional virtual objects; detecting the input of a geographic region; obtaining characteristic information, which characterizes the features of different areas; deriving additional information for the various areas of the geographic region on the basis of the characteristic information, land use information being derived as additional information if the characteristic information does not comprise any land use information; ascertaining the objects from the basic library which occur in the geographic region, and storing these objects in a regional library; dividing the geographic region into sectors of the same land use on the basis of the land use information; ascertaining, for each sector, the objects from the regional library which match the land use of this sector; and filling each sector with a selection of objects, based on its land use.

Abstract: A method for processing raw data recorded from the real world with the aid of a sensor into test data for stimulating a control unit, including: providing recorded raw data from the real world; ascertaining real objects detected by the sensor from the raw data, and generating route data sets, which each describe a scene including images of these real objects at consecutive points in time. providing a library of synthetic objects; assigning synthetic objects to detected images of the real objects, replacing the detected images with synthetic objects; supplementing temporally consecutive route data sets with supplementary data sets before the first route data set; and generating test data by converting the route data sets supplemented by the supplementary data sets into raw data that would have been recorded in the real world by the sensor during the introductory period and the recording period.

Abstract: A method is provided for configuring an SIL simulation of a control unit running on a computer, software modules for the control unit, which have a plurality of tasks, being installed on the computer for the SIL simulation of the control unit, the tasks being processed in a predetermined clock cycle having a periodic period between the individual clock time points, and the computer including a plurality of processor cores, on which a plurality of virtual machines run, which each process predetermined tasks. A possibility is thus provided for minimizing the computing time of an SIL test.

Abstract: A method for changing a bitwidth of an FPGA configuration for an FPGA, the FPGA configuration having a plurality of at least 2n bit-containing data signals with n? and ?3, and the method having the step: when a threshold of a current consumption and/or a temperature of the FPGA is exceeded and/or a replacement signal is present, replacing k least significant bits of the data signals in each case with a zero with k? and ?2 during an execution of the FPGA configuration on the FPGA.

Abstract: A computer-implemented method and system for classifying scenarios of a virtual test, including a provision of a first data set of sensor data of a travel of an ego vehicle captured by a plurality of vehicle-side surroundings detection sensors; a transformation of the first data set of sensor data into a data-reduced second data set of sensor data by a first algorithm, in particular a multivariate data analysis method; an application of a second machine learning algorithm to the data-reduced second data set of sensor data for classifying scenarios comprised by the second data set; and an output of a third data set having a plurality of classes representing a vehicle action. Provided is also a computer-implemented method for providing a trained second machine learning algorithm for classifying scenarios of a virtual test.

Abstract: A method for analyzing services of nodes of a network which communicate with each other over the network, wherein the communication of the nodes with each other over the network comprises sending messages from at least one node to at least another node over the network. This way a method for analyzing the services in a network is provided that is simpler and less error-prone.

Abstract: A computer-implemented method for generating test data for testing a control system of a motor vehicle which evaluates a sensor data stream. Simulated driving is performed through at least part of a virtual simulation environment with a virtual vehicle carrying a virtual sensor by specifying a translational movement of the virtual vehicle in the virtual simulation environment, wherein the virtual sensor has a visual field in which it detects the virtual simulation environment. Synthetic sensor data is generated with the virtual sensor by detecting the virtual simulation environment driven through by the virtual vehicle in the visual field of the virtual sensor. The synthetic sensor data is provided as test data for testing a control system of a motor vehicle which evaluates a sensor data stream.

Abstract: A computer-implemented method for providing a machine learning algorithm for determining similar scenarios based on scenario data of a data set of sensor data, wherein an optimization algorithm is applied to the feature representation, output by the first machine learning algorithm, of the first augmentation of the data set of sensor data, wherein the optimization algorithm approximates the feature representation, output by the second machine learning algorithm, of the second augmentation of the data set of sensor data. The invention further relates to a method for determining similar scenarios based on scenario data of a data set of sensor data and to a training controller.

Abstract: A method for simulating a control unit, based on the AUTOSAR standard, different tasks being processed in consecutive time steps, the execution time needed to carry out all tasks in a time step being assumed to be zero, and the method including: Measuring the execution time of a task, an upper threshold being defined for the execution time for the particular task with the aid of the AUTOSAR parameter upon the exceeding of which the call of the AUTOSAR function is provided; and/or measuring the activation time of a task, an upper threshold being defined for the activation time for the particular task with the aid of the AUTOSAR parameter; and/or changing an AUTOSAR parameter for at least one time step in such a way that it is greater than the measured actual activation time.

Abstract: A method and system for generating a reduced complexity logical representation of a data set of sensor data, having a using of an algorithm on the second data set for reducing the complexity of the logical scenario, and an outputting of a third data set representing a reduced complexity logical scenario of the second data set. The invention additionally relates to a method for providing a trained machine learning algorithm for generating a reduced complexity representation of a data set of sensor data.

Abstract: A method and a radar target simulator for generating a simulated radar echo signal. A radar signal is sent with known bandwidth from a radar sensor to be tested. The radar signal is received in the radar target simulator. The radar signal is filtered via a low-pass filter with known filter curve. The frequency spectrum of the filtered radar signal over the full bandwidth of the low-pass filter is determined. A corrected frequency spectrum and the power of a radar signal corresponding to the corrected frequency spectrum are calculated. A scaled radar signal from the filtered radar signal and the radar echo signal as a reflection of the scaled radar signal are calculated. The radar echo signal is sent from a transmitting antenna of the radar target simulator to the radar sensor to be tested.

Abstract: A method for the usage-based licensing of one or more applications in a container, wherein the container comprises a license module, an application queries the presence of an application license via the license module and is only executed if an application license is present. In the license module, a linking of one or more application licenses with a unique identifier is stored, and the container comprises a settlement module, which retrieves a usage unit from an external license source. For the duration of an obtained usage unit, the settlement module provides the unique identifier in a secure data storage so that all applications linked with the unique identifier can be executed. A computer system and a computer program product are also provided.

Abstract: A method and an arrangement for simulating the motion of a rotatable body in a simulation computer using a brake test bench, which has an engine, a real rotatable body representing the simulated rotatable body and a brake. The method includes the method steps of: specifying a target speed, applying this target speed to the engine, rotating the real rotatable body, specifying a braking value, controlling the brake on the basis of the specified braking value, measuring the actual torque and the actual speed of the real rotatable body, determining whether the actual speed exceeds a predetermined limit speed, and simulating the motion of the rotatable body on the basis of a torque of the simulated rotatable body. In this way, a possibility for simulating the motion of a rotatable body is provided, which provides at least approximately correct results even for low speeds of the rotatable body.

Abstract: According to the invention, simulation code and production code are generated as source code from a model. The model comprises one or more blocks which specify a desired behavior of a program, in particular a control program. At least one of the blocks is marked with a simulation code attribute. Simulation code is generated for those blocks that include a simulation code attribute. Production code is generated for all other blocks. The generated source code includes both simulation code and production code. The simulation code portions are contained in the source code in a separable manner from the production code portions.