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

arXiv · 1808.10232

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

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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.

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Oliver Wasenmüller, René Schuster, Didier Stricker, Karl Leiss, Jürger Pfister, Oleksandra Ganus, Julian Tatsch, Artem Savkin, Nikolas Brasch. 2018-08-30. Automated Scene Flow Data Generation for Training and Verification. https://arxiv.org/abs/1808.10232

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