DDD20 End-to-End Event Camera Driving Dataset - Fusing Frames and Events with Deep Learning for Improved Steering Prediction

Yuhuang Hu, Jonathan Binas, Daniel Neil, Shih-Chii Liu, and Tobi Delbruck

Institute of Neuroinformatics, University of Zürich and ETH Zürich, Switzerland

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Citation

If you use the DDD20 dataset, please cite:

  • Hu, Y., Binas, J., Neil, D., Liu, S.-C., and Delbruck, T. (2020). “DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Prediction”. Special session Beyond Traditional Sensing for Intelligent Transportation, The 23rd IEEE International Conference on Intelligent Transportation Systems, September 20 – 23, 2020, Rhodes, Greece. arXiv [cs.CV]. arXiv. http://arxiv.org/abs/2005.08605

Contacts

  • Yuhuang Hu: yuhuang.hu@ini.uzh.ch
  • Tobi Delbruck: tobi@ini.uzh.ch

Acknowledgments

This work was funded by Samsung via the Neuromorphic Processor Project (NPP), the Swiss National Competence Center in Robotics (NCCR Robotics), and the EU projects SEEBETTER and VISUALISE.


This dataset is hosted as part of the INI Sensors Group Databases