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Context Aided Multilevel Pedestrian Detection

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dc.affiliation.dptoUC3M. Departamento de Ingeniería de Sistemas y Automáticaes
dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Laboratorio de Sistemas Inteligenteses
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Laboratorio de Control, Aprendizaje y Optimización de Sistemas (CAOS)es
dc.contributor.authorGarcía, Fernando
dc.contributor.authorEscalera Hueso, Arturo de la
dc.contributor.authorArmingol Moreno, José María
dc.date.accessioned2016-09-23T10:09:33Z
dc.date.available2016-09-23T10:09:33Z
dc.date.issued2013
dc.description.abstractAbstract: The proposed work, depicts a novel algorithm able to provide multiple pedestrian detection, based on the use of classical sensors in modern automotive application and context information. The work takes advantage of the use of Joint Probabilities Data Association (JPDA) and context information to enhance the classic performance of the pedestrian detection algorithms. The combination of the different information sources with powerful tracking algorithms helps to overcome the difficulties of this processes, providing a trustable tool that improves performance of the single sensor detection algorithms. Context in a rich information source, able to improve the fusion process in all levels by the use of a priori knowledge of the application. In the present work multilevel fusion solution is provided for road safety application. Context is used in all the fusion levels, helping to improve the perception of the road environment and the relations among detections. By the fusion of all information sources, accurate and trustable detection is provided and complete situation assessment obtained, with estimation of the danger that involves any detection.en
dc.description.sponsorshipThis work was supported by the Spanish Government through the Cicyt projects (GRANT TRA2010-20225-C03-01) and (GRANT TRA 2011-29454-C03-02). CAM through SEGVAUTO-II ( S2009/DPI-1509).en
dc.format.extent7
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitation2013 16th International Conference on Information Fusion (FUSION). : IEEE - The Institute Of Electrical And Electronics Engineers, Inc. Pp. 2019-2024en
dc.identifier.isbn978-605-86311-1-3
dc.identifier.publicationfirstpage2019
dc.identifier.publicationlastpage2024
dc.identifier.publicationtitle2013 16th International Conference on Information Fusion (FUSION)
dc.identifier.urihttps://hdl.handle.net/10016/23627
dc.identifier.uxxiCC/0000021788
dc.language.isoeng
dc.publisherIEEE
dc.relation.eventdate9-12 July 2013en
dc.relation.eventplaceTurquíaes
dc.relation.eventtitle16th International Conference on Information Fusion (FUSION 2013)en
dc.relation.projectIDGobierno de España. TRA2010-20225-C03-01es
dc.relation.projectIDGobierno de España. TRA2011-29454-C03-02es
dc.relation.projectIDComunidad de Madrid. S2009/ESP-1691/MODELICOes
dc.relation.publisherversionhttp://ieeexplore.ieee.org/document/6641253/
dc.rights© 2013 IEEE
dc.rights.accessRightsopen access
dc.subject.ecienciaRobótica e Informática Industriales
dc.subject.otherContexten
dc.subject.otherADASen
dc.subject.otherMultilevel Applicationen
dc.subject.otherAdvanced Driver Assistance Systemsen
dc.titleContext Aided Multilevel Pedestrian Detectionen
dc.typeconference paper*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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