Abstract: A method for generating a simulation scenario includes: receiving raw data, wherein the raw data comprises a plurality of successive LIDAR point clouds, a plurality of successive camera images, and successive velocity and/or acceleration data; merging the plurality of LIDAR point clouds from a determined region into a common coordinate system to produce a composite point cloud; locating and classifying one or more static objects within the composite point cloud; generating road information based on the composite point cloud, one or more static objects and at least one camera image; locating and classifying one or more dynamic road users within the plurality of successive LIDAR point clouds and generating trajectories for the one or more dynamic road users; creating a simulation scenario based on the one or more static objects, the road information, and the generated trajectories for the one or more dynamic road users; and exporting the simulation scenario.

Abstract: A method for determining a vehicle reference speed and a vehicle controller having such a method, in which directly or indirectly determined or estimated vehicle status signals, including weighting factors associated with each of the vehicle status signals, are merged in a merging module, wherein the merging module includes at least two stochastic estimators, which exchange signals with one another that correspond to physical vehicle parameters, wherein the association of the estimators is selected in accordance with a physics model for the vehicle behavior.