Presentation
Neuro-inspired system for real-time vision sensor tilt correction
Author/s | Jiménez Fernández, Ángel Francisco
![]() ![]() ![]() ![]() ![]() ![]() ![]() Fuentes del Bosch, J.L. Paz Vicente, Rafael ![]() ![]() ![]() ![]() ![]() ![]() ![]() Linares Barranco, Alejandro ![]() ![]() ![]() ![]() ![]() ![]() ![]() Jiménez Moreno, Gabriel ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
Department | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores |
Publication Date | 2010 |
Deposit Date | 2020-01-10 |
Published in |
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ISBN/ISSN | 978-1-4244-5308-5 0271-4302 |
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 ... 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. |
Project ID. | P06-TIC-01417
![]() TEC2006-11730-C03-02 ![]() TEC2009-10639-C04-02 ![]() |
Citation | Jiménez Fernández, Á.F., Fuentes del Bosch, J.L., Paz Vicente, R., Linares Barranco, A. y Jiménez Moreno, G. (2010). Neuro-inspired system for real-time vision sensor tilt correction. En ISCAS 2010: IEEE International Symposium on Circuits and Systems (1394-1397), Paris, France: IEEE Computer Society. |
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