Repository landing page

We are not able to resolve this OAI Identifier to the repository landing page. If you are the repository manager for this record, please head to the Dashboard and adjust the settings.
research
oaioai:idus.us.es:11441/91429

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

Authors
Publication date
1 January 2010
Publisher
IEEE Computer Society

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-01417Ministerio de Educación y Ciencia TEC2006-11730-C03-02Ministerio de Ciencia e Innovación TEC2009-10639-C04-0

Similar works

Full text

thumbnail-image

idUS. Depósito de Investigación Universidad de Sevilla

redirect
oaioai:idus.us.es:11441/91429
Last time updated on 29/01/2020

This paper was published in idUS. Depósito de Investigación Universidad de Sevilla.

Having an issue?

Is data on this page outdated, violates copyrights or anything else? Report the problem now and we will take corresponding actions after reviewing your request.