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Publikation

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.

Zusammenfassung

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.