Neuro-inspired system for real-time vision sensor tilt correction

Author

Jimenez-Fernandez, A. ; Fuentes-del-Bosh, J.L. ; Paz-Vicente, R. ; Linares-Barranco, A. ; Jiménez, G.

Author_Institution

Dipt. Arquitectura y Tecnol. de Comput., Univ. de Sevilla, Sevilla, Spain

fYear

2010

fDate

May 30 2010-June 2 2010

Firstpage

1394

Lastpage

1397

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 co-design 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.

Keywords

attitude control; hardware-software codesign; image sensors; AER vision sensor; FPGA; USB microcontroller; USBAERmini2 board; address event representation; biological information processing; jAER software; neuroinspired system; real time vision sensor; speed algorithmic mapping layer; Biosensors; Control systems; Information processing; Machine vision; Neuromorphic engineering; Protocols; Real time systems; Robot control; Robot sensing systems; Sensor systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on

Conference_Location

Paris

Print_ISBN

978-1-4244-5308-5

Electronic_ISBN

978-1-4244-5309-2

Type

conf

DOI

10.1109/ISCAS.2010.5537271

Filename

5537271