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.