SynPeDS: A Synthetic Dataset for Pedestrian Detection in Urban Traffic Scenes-Reference-Cited by-同舟云学术

SynPeDS: A Synthetic Dataset for Pedestrian Detection in Urban Traffic Scenes

Published:2022-12-08 Issue: Volume: Page:
ISSN:
Container-title:Computer Science in Cars Symposium
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Author:

Stauner Thomas¹^ORCID,Blank Frederik²^ORCID,Fürst Michael³^ORCID,Günther Johannes⁴^ORCID,Hagn Korbinian⁴^ORCID,Heidenreich Philipp⁵^ORCID,Huber Markus⁶^ORCID,Knerr Bastian⁷^ORCID,Schulik Thomas⁸^ORCID,Leiß Karl-Ferdinand⁹^ORCID

Affiliation:

1. BMW Group, Germany

2. Robert Bosch GmbH, Germany

3. DFKI, Germany

4. Intel Corporation, Germany

5. Opel Automobile GmbH, Germany

6. Accenture, Germany

7. QualityMinds GmbH, Germany

8. ZF Friedrichshafen AG, Gemany

9. BIT Technology Solutions GmbH, DE

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3568160.3570230

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5. Jean-Emmanuel Deschaud. 2021. KITTI-CARLA: a KITTI-like dataset generated by CARLA Simulator. arXiv preprint arXiv:2109.00892(2021). Jean-Emmanuel Deschaud. 2021. KITTI-CARLA: a KITTI-like dataset generated by CARLA Simulator. arXiv preprint arXiv:2109.00892(2021).

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