Title :
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
fDate :
May 30 2010-June 2 2010
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;
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
DOI :
10.1109/ISCAS.2010.5537271
