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 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: A method for simulating a sensor system includes checking whether an intersection of the first image and the second image exists and assessing whether or not the second virtual object is perspectivally occluded. In case an intersection exists, the Euclidean distance between the sensor and the first virtual object is smaller than the Euclidean distance between the sensor and the second virtual objects, and the size of the intersection exceeds a pre-defined threshold value, the second virtual object is assessed as perspectivally occluded. In case an intersection does not exist, the Euclidean distance between the sensor and the first virtual object is not smaller than the Euclidean distance between the sensor and the second virtual objects, or the size of the intersection exceeds a pre-defined threshold value, the second virtual object is assessed as not perspectivally occluded.

Abstract: A method for simulating a sensor system includes checking whether an intersection of the first image and the second image exists and assessing whether or not the second virtual object is perspectivally occluded. In case an intersection exists, the Euclidean distance between the sensor and the first virtual object is smaller than the Euclidean distance between the sensor and the second virtual objects, and the size of the intersection exceeds a pre-defined threshold value, the second virtual object is assessed as perspectivally occluded. In case an intersection does not exist, the Euclidean distance between the sensor and the first virtual object is not smaller than the Euclidean distance between the sensor and the second virtual objects, or the size of the intersection exceeds a pre-defined threshold value, the second virtual object is assessed as not perspectivally occluded.

Abstract: A method for calculating a desired trajectory for a vehicle is provided. The vehicle is located at a position on a road bounded by two road edges, wherein the road edges are known at least in a region around the position of the vehicle. A spring-mass model is introduced, wherein the spring-mass model is used for calculating the desired trajectory, wherein the positions of the point masses are calculated for a rest state of the spring-mass model, and the calculated positions of the point masses are used as data points for the calculation of a curve connecting the point masses, whereby the curve represents the desired trajectory.

Abstract: A method for calculating a desired trajectory for a vehicle is provided. The vehicle is located at a position on a road bounded by two road edges, wherein the road edges are known at least in a region around the position of the vehicle. A spring-mass model is introduced, wherein the spring-mass model is used for calculating the desired trajectory, wherein the positions of the point masses are calculated for a rest state of the spring-mass model, and the calculated positions of the point masses are used as data points for the calculation of a curve connecting the point masses, whereby the curve represents the desired trajectory.