Context aided pedestrian detection for danger estimation based on laser scanner and computer vision

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dc.contributor.author García, Fernando
dc.contributor.author García, Jesús
dc.contributor.author Ponz Vila, Aurelio
dc.contributor.author Escalera Hueso, Arturo de la
dc.contributor.author Armingol Moreno, José María
dc.date.accessioned 2015-06-30T11:23:12Z
dc.date.available 2016-11-01T23:00:09Z
dc.date.issued 2014-11
dc.identifier.bibliographicCitation Expert Systems with Applications (2014). 41(15), 6646-6661.
dc.identifier.issn 0957-4174
dc.identifier.uri http://hdl.handle.net/10016/21213
dc.description.abstract Road safety applications demand the most reliable sensor systems. In recent years, the advances in information technologies have led to more complex road safety applications able to cope with a high variety of situations. These applications have strong sensing requirements that a single sensor, with the available technology, cannot attain. Recent researches in Intelligent Transport Systems (ITS) try to overcome the limitations of the sensors by combining them. But not only sensor information is crucial to give a good and robust representation of the road environment; context information has a key role for reliable safety applications to provide reliable detection and complete situation assessment. This paper presents a novel approach for pedestrian detection using sensor fusion of laser scanner and computer vision. The application also takes advantage of context information, providing danger estimation for the pedestrians detected. Closing the loop, the danger estimation is later used, together with context information, as feedback to enhance the pedestrian detection process.
dc.description.sponsorship This work was supported by the Spanish Government through the Cicyt projects (GRANT TRA2010-20225-C03-01), (TEC2011-28626-C02-02) and (GRANT TRA 2011-29454-C03-02), CAM through SEGVAUTO-II (S2009/DPI-1509) and mobility program of ‘‘Fundación Caja Madrid’’.
dc.format.extent 16
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Elsevier
dc.rights © 2014 Elsevier Ltd.
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other Data fusion
dc.subject.other Context
dc.subject.other Laser scanner
dc.subject.other Computer vision
dc.subject.other Pedestrian detection
dc.title Context aided pedestrian detection for danger estimation based on laser scanner and computer vision
dc.type article
dc.description.status Publicado
dc.relation.publisherversion http://dx.doi.org/10.1016/j.eswa.2014.04.034
dc.subject.eciencia Informática
dc.identifier.doi 10.1016/j.eswa.2014.04.034
dc.rights.accessRights openAccess
dc.relation.projectID Comunidad de Madrid. S2009/DPI-1509/SEGVAUTO
dc.relation.projectID Gobierno de España. TEC2011-28626-C02-02
dc.relation.projectID Gobierno de España. TRA 2011-29454-C03-02
dc.relation.projectID Gobierno de España. TRA2013-48314-C3-1-R
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 6646
dc.identifier.publicationissue 15
dc.identifier.publicationlastpage 6661
dc.identifier.publicationtitle Expert systems with applications
dc.identifier.publicationvolume 41
dc.identifier.uxxi AR/0000015472
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