1. Human vs. Computer Slot Car Racing using an Event and Frame-Based DAVIS Vision Sensor
- Author
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E. Muggler, Alejandro Linares-Barranco, R. Juston, Garrick Orchard, Michael Pfeiffer, Tobi Delbruck, M. W. Tilden, Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores, and Universidad de Sevilla. TEP-108: Robótica y Tecnología de Computadores Aplicada a la Rehabilitación
- Subjects
Engineering ,business.product_category ,Pixel ,business.industry ,Event (computing) ,Track (disk drive) ,Real-time computing ,Frame (networking) ,Throttle ,Mode (computer interface) ,Laptop ,Latency (engineering) ,business ,Simulation - Abstract
This paper describes an open-source implementation of an event-based dynamic and active pixel vision sensor (DAVIS) for racing human vs. computer on a slot car track. The DAVIS is mounted in "eye-of-god" view. The DAVIS image frames are only used for setup and are subsequently turned off because they are not needed. The dynamic vision sensor (DVS) events are then used to track both the human and computer controlled cars. The precise control of throttle and braking afforded by the low latency of the sensor output enables consistent outperformance of human drivers at a laptop CPU load of
- Published
- 2015