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Sistema Avanzado de Asistencia a la Conducción para la Detección de la Somnolencia

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Sistema Avanzado de Asistencia a la Conducción para la Detección de la Somnolencia

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dc.contributor.author Flores, Marco J. es_ES
dc.contributor.author Armingol, José M. es_ES
dc.contributor.author de la Escalera, Arturo es_ES
dc.date.accessioned 2020-05-27T17:53:35Z
dc.date.available 2020-05-27T17:53:35Z
dc.date.issued 2011-07-10
dc.identifier.issn 1697-7912
dc.identifier.uri http://hdl.handle.net/10251/144456
dc.description.abstract [ES] En este artículo se presenta un sistema avanzado de asistencia a la conducción (SAAC) diseñado para detectar automáticamente a somnolencia y la distracción del conductor. Este sistema se compone de dos partes: una para trabajar durante el día con luminación natural, y otra para funcionar en la noche utilizando iluminación infrarroja. Los principales objetivos son localizar l rostro y los ojos del conductor para analizarlos a través del tiempo y generar un índice de somnolencia y uno de distracción. Para llo se han utilizado técnicas de Visión por Computador e Inteligencia Artificial. Finalmente, el sistema ha sido probado con varios onductores sobre un vehículo en condiciones reales de conducción, en el día y en la noche. es_ES
dc.description.abstract [EN] Every day, statistics on traffic accidents reveal that human errors are the main cause of deaths and injuries on the word’s roads. In order to reduce these fatalities, a system for automatic detection of both drowsiness and distraction is presented. Artificial intelligent, computer vision and infrared illumination technologies are used to compute both drowsiness and distraction indexes in real time. Several examples of different driver images taken in a real vehicle at nighttime are shown to validate the proposed algorithms. es_ES
dc.description.sponsorship Este trabajo ha sido realizado gracias al apoyo del gobierno español a través de os proyectos de la CICYT, VISVIA (TRA2007-67786-C02-02) y POCIMA (TRA2007-67374-C02-01). es_ES
dc.language Español es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Revista Iberoamericana de Automática e Informática industrial es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Artificial intelligent es_ES
dc.subject Computer vision es_ES
dc.subject Drowsiness es_ES
dc.subject Driver es_ES
dc.subject Traffic accidents es_ES
dc.subject Infrared illumination es_ES
dc.subject Inteligencia Artificial es_ES
dc.subject Visión por Computador es_ES
dc.subject Somnolencia es_ES
dc.subject Distracción es_ES
dc.subject Conductor es_ES
dc.subject Accidentes de tráfico es_ES
dc.subject Iluminación infrarroja es_ES
dc.title Sistema Avanzado de Asistencia a la Conducción para la Detección de la Somnolencia es_ES
dc.title.alternative Advance assistance system for driver’s drowsiness detection es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.riai.2011.06.009
dc.relation.projectID info:eu-repo/grantAgreement/MEC//TRA2007-67786-C02-02/ES/VISION POR COMPUTADOR PARA LA PERCEPCION DE ENTORNOS VIARIOS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MEC//TRA2007-67374-C02-01/ES/SISTEMA DE DETECCION DE PEATONES, CICLISTAS Y MOTORISTAS-SISTEMA DE PERCEPCION/ es_ES
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Flores, MJ.; Armingol, JM.; De La Escalera, A. (2011). Sistema Avanzado de Asistencia a la Conducción para la Detección de la Somnolencia. Revista Iberoamericana de Automática e Informática industrial. 8(3):216-228. https://doi.org/10.1016/j.riai.2011.06.009 es_ES
dc.description.accrualMethod OJS es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.riai.2011.06.009 es_ES
dc.description.upvformatpinicio 216 es_ES
dc.description.upvformatpfin 228 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 8 es_ES
dc.description.issue 3 es_ES
dc.identifier.eissn 1697-7920
dc.relation.pasarela OJS\9685 es_ES
dc.contributor.funder Ministerio de Educación y Ciencia es_ES
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