  Scene flow describes the 3D position as well as the 3D motion of each pixel
in an image. Such algorithms are the basis for many state-of-the-art autonomous
or automated driving functions. For verification and training large amounts of
ground truth data is required, which is not available for real data. In this
paper, we demonstrate a technology to create synthetic data with dense and
precise scene flow ground truth.
