151. Neuro-inspired system for real-time vision sensor tilt correction
- Author
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G. Jimenez, Alejandro Linares-Barranco, Angel Jimenez-Fernandez, R. Paz-Vicente, J. L. Fuentes-del-Bosh, and Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores
- Subjects
Computer science ,business.industry ,Machine vision ,Real-time computing ,USB ,law.invention ,Microcontroller ,Software ,Neuromorphic engineering ,Asynchronous communication ,law ,Robot ,business ,Field-programmable gate array ,Computer hardware - Abstract
Neuromorphic engineering tries to mimic biological information processing. Address-Event-Representation (AER) is an asynchronous protocol for transferring the information of spiking neuro-inspired systems. Currently AER systems are able sense visual and auditory stimulus, to process information, to learn, to control robots, etc. In this paper we present an AER based layer able to correct in real time the tilt of an AER vision sensor, using a high speed algorithmic mapping layer. A codesign platform (the AER-Robot platform), with a Xilinx Spartan 3 FPGA and an 8051 USB microcontroller, has been used to implement the system. Testing it with the help of the USBAERmini2 board and the jAER software. Junta de Andalucía P06-TIC-01417 Ministerio de Educación y Ciencia TEC2006-11730-C03-02 Ministerio de Ciencia e Innovación TEC2009-10639-C04-02
- Published
- 2010