SynPeDS: A Synthetic Dataset for Pedestrian Detection in Urban Traffic Scenes - researchr publication authors

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Thomas Stauner, Frédérik Blank, Michael Fürst, Johannes Günther 0001, Korbinian Hagn, Philipp Heidenreich, Markus Huber, Bastian Knerr, Thomas Schulik, Karl-Ferdinand Leiß. SynPeDS: A Synthetic Dataset for Pedestrian Detection in Urban Traffic Scenes. In Björn Brücher, Christoph Krauß, Mario Fritz, Hans-Joachim Hof, Oliver Wasenmüller, editors, Computer Science in Cars Symposium, CSCS 2022, Ingolstadt, Germany, 8 December 2022. ACM, 2022. [doi]

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