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

Jiménez Fernández, Ángel Francisco; Fuentes del Bosch, J.L.; Paz Vicente, Rafael; Linares Barranco, Alejandro; Jiménez Moreno, Gabriel

doi:10.1109/ISCAS.2010.5537271

Por motivos de mantenimiento se ha deshabilitado el inicio de sesión temporalmente. Rogamos disculpen las molestias.

Ponencia

dc.creator	Jiménez Fernández, Ángel Francisco	es
dc.creator	Fuentes del Bosch, J.L.	es
dc.creator	Paz Vicente, Rafael	es
dc.creator	Linares Barranco, Alejandro	es
dc.creator	Jiménez Moreno, Gabriel	es
dc.date.accessioned	2020-01-10T10:35:33Z
dc.date.available	2020-01-10T10:35:33Z
dc.date.issued	2010
dc.identifier.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.
dc.identifier.isbn	978-1-4244-5308-5	es
dc.identifier.issn	0271-4302	es
dc.identifier.uri	https://hdl.handle.net/11441/91429
dc.description.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.	es
dc.description.sponsorship	Junta de Andalucía P06-TIC-01417	es
dc.description.sponsorship	Ministerio de Educación y Ciencia TEC2006-11730-C03-02	es
dc.description.sponsorship	Ministerio de Ciencia e Innovación TEC2009-10639-C04-02	es
dc.format	application/pdf	es
dc.language.iso	eng	es
dc.publisher	IEEE Computer Society	es
dc.relation.ispartof	ISCAS 2010: IEEE International Symposium on Circuits and Systems (2010), p 1394-1397
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.title	Neuro-inspired system for real-time vision sensor tilt correction	es
dc.type	info:eu-repo/semantics/conferenceObject	es
dcterms.identifier	https://ror.org/03yxnpp24
dc.type.version	info:eu-repo/semantics/submittedVersion	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores	es
dc.relation.projectID	P06-TIC-01417	es
dc.relation.projectID	TEC2006-11730-C03-02	es
dc.relation.projectID	TEC2009-10639-C04-02	es
dc.relation.publisherversion	https://ieeexplore.ieee.org/document/5537271	es
dc.identifier.doi	10.1109/ISCAS.2010.5537271	es
idus.format.extent	4	es
dc.publication.initialPage	1394	es
dc.publication.endPage	1397	es
dc.eventtitle	ISCAS 2010: IEEE International Symposium on Circuits and Systems	es
dc.eventinstitution	Paris, France	es
dc.relation.publicationplace	New York, USA	es

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