Abstract: A simulator and a method for testing a control device function of a control device of a vehicle. The vehicle includes various environmental sensors, such as radar, a camera, and a radio receiver, which serve as inputs to the control device function of the control device. A corresponding simulation utilizing a vehicle model sensor models, and an environmental model is executed in a distributed fashion via a plurality of computing units and a memory of a simulator. The simulation utilizing the vehicle model, the sensor models, and the environmental model provides inputs to the control device function. Moreover, the simulation utilizing these models is started synchronously on the computing units, wherein data exchange occurs amongst the memory and the multiple computing units.

Abstract: A method for simulating different traffic situations for an autonomous or semiautonomous test vehicle. The method includes the simulated driving of the test vehicle through a simulated road network, and the simulated randomized driving of other vehicles through the simulated road network. The method also includes the capture of vehicle driving parameters. Further according to the method, there is a determination of whether a predefined traffic situation is satisfied by the test vehicle and at least one of the other vehicles, the at least one other vehicle being within a test zone around the test vehicle. Where the predefined traffic situation is satisfied, randomized driving of the at least one other vehicle can be stopped, and the at least one other vehicle can be made to perform a predetermined driving maneuver. The predetermined driving maneuver can provoke a reaction by the test vehicle.

Abstract: A simulator and a method for testing a control device function of a control device of a vehicle. The vehicle includes various environmental sensors, such as radar, a camera, and a radio receiver, which serve as inputs to the control device function of the control device. A corresponding simulation utilizing a vehicle model, sensor models, and an environmental model is executed in a distributed fashion via a plurality of computing units and a memory of a simulator. The simulation utilizing the vehicle model, the sensor models, and the environmental model provides inputs to the control device function. Moreover, the simulation utilizing these models is started synchronously on the computing units, wherein data exchange occurs amongst the memory and the multiple computing units.

Abstract: A method for simulating different traffic situations for an autonomous or semiautonomous test vehicle. The method includes the simulated driving of the test vehicle through a simulated road network, and the simulated randomized driving of other vehicles through the simulated road network. The method also includes the capture of vehicle driving parameters. Further according to the method, there is a determination of whether a predefined traffic situation is satisfied by the test vehicle and at least one of the other vehicles, the at least one other vehicle being within a test zone around the test vehicle. Where the predefined traffic situation is satisfied, randomized driving of the at least one other vehicle can be stopped, and the at least one other vehicle can be made to perform a predetermined driving maneuver. The predetermined driving maneuver can provoke a reaction by the test vehicle.