Publication: Slasher: Stadium racer car for event camera end-to-end learning autonomous driving experiments
Slasher: Stadium racer car for event camera end-to-end learning autonomous driving experiments
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Hu, Y., Chen, H. M., & Delbruck, T. (2019, March 20). Slasher: Stadium racer car for event camera end-to-end learning autonomous driving experiments. 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), Hsinchu. https://doi.org/10.1109/aicas.2019.8771520
Abstract
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Slasher is the first open 1/10 scale autonomous driving platform for exploring the use of neuromorphic event cameras for fast driving in unstructured indoor and outdoor environments. Slasher features a DAVIS event-based camera and ROS computer for perception and control. The DAVIS camera provides high dynamic range, sparse output, and sub-millisecond latency output for the quick visual control needed for fast driving. A race controller and Bluetooth remote joystick are used to coordinate different processing pipelines, and a low-cost
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Creators (Authors)
- Hu, Yuhuang
- Chen, Hong Ming
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Citations
Hu, Y., Chen, H. M., & Delbruck, T. (2019, March 20). Slasher: Stadium racer car for event camera end-to-end learning autonomous driving experiments. 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), Hsinchu. https://doi.org/10.1109/aicas.2019.8771520
