Publication
Automated Scene Flow Data Generation for Training and Verification
Oliver Wasenmüller; René Schuster; Didier Stricker; Karl Leiss; Jürger Pfister; Oleksandra Ganus; Julian Tatsch; Artem Savkin; Nikolas Brasch
In: ACM Computer Science in Cars Symposium (CSCS). ACM Computer Science in Cars Symposium (CSCS-2018), Munich, Germany, ACM, 2018.
Abstract
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.