DDD20: end-to-end DAVIS driving dataset

The earlier, smaller DDD17 was published as 

• 1. Binas, J., Neil, D., Liu, S.-C., and Delbruck, T. (2017). DDD17: End-To-End DAVIS Driving Dataset. in ICML’17 Workshop on Machine Learning for Autonomous Vehicles (MLAV 2017) (Sydney, Australia).  Available at: arXiv:1711.01458 [cs]  http://arxiv.org/abs/1711.01458 

The sensor used for DDD20 is the DAVIS based on the original paper below (about a previous generation sensor IC)

• 1. Berner, Raphael, Christian Brandli, Minhao Yang, Shih-Chii Liu, and Tobi Delbruck. 2014. “A 240x180 10mW 12us Latency Sparse-Output Vision Sensor for Mobile Applications” In IEEE J. Solid State Circuits. 49(10) p. 2333-2341 10.1109/JSSC.2014.2342715 .  Get PDF here.

The DAVIS346 used for DDD17 and DDD20 is published in

1. Taverni, G., Moeys, D. P., Li, C., Cavaco, C., Motsnyi, V., Bello, D. S. S., et al. (2018). Front and Back Illuminated Dynamic and Active Pixel Vision Sensors Comparison. IEEE Transactions on Circuits and Systems II: Express Briefs (accepted) 65, 677–681. Available at: https://ieeexplore.ieee.org/document/8334288/?arnumber=8334288&source=authoralert.

The DAVIS is based on a seminal neuromorphic event camera Dynamic Vision Sensor (DVS) paper

1. Lichtsteiner, Patrick, Christoph Posch, and Tobi Delbruck. 2008. “A 128 X 128 120 dB 15 Μs Latency Asynchronous Temporal Contrast Vision Sensor .” IEEE Journal of Solid-State Circuits 43 (2): p. 566–576. doi:10.1109/JSSC.2007.914337. Get PDF here.