Publication: Computer vision and laser scanner road environment perception
dc.affiliation.dpto | UC3M. Departamento de Informática | es |
dc.affiliation.grupoinv | UC3M. Grupo de Investigación: Laboratorio de Control, Aprendizaje y Optimización de Sistemas (CAOS) | es |
dc.contributor.author | García, Fernando | |
dc.contributor.author | Ponz Vila, Aurelio | |
dc.contributor.author | Martín Gómez, David | |
dc.contributor.author | Escalera Hueso, Arturo de la | |
dc.contributor.author | Armingol Moreno, José María | |
dc.date.accessioned | 2016-09-27T10:11:41Z | |
dc.date.available | 2016-09-27T10:11:41Z | |
dc.date.issued | 2014-05-12 | |
dc.description.abstract | Data fusion procedure is presented to enhance classical Advanced Driver Assistance Systems (ADAS). The novel vehicle safety approach, combines two classical sensors: computer vision and laser scanner. Laser scanner algorithm performs detection of vehicles and pedestrians based on pattern matching algorithms. Computer vision approach is based on Haar-Like features for vehicles and Histogram of Oriented Gradients (HOG) features for pedestrians. The high level fusion procedure uses Kalman Filter and Joint Probabilistic Data Association (JPDA) algorithm to provide high level detection. Results proved that by means of data fusion, the performance of the system is enhanced. | en |
dc.description.sponsorship | This 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 SEGAUTO-II (S2009IDPI-1509) . | en |
dc.format.extent | 5 | |
dc.format.mimetype | application/pdf | |
dc.identifier.bibliographicCitation | Computer vision and laser scanner road environment perception. IWSSIP2014, 21st International Conference on Systems, Signals and Image Processing: Proceedings. : IEEE. Pp. 63-66 | en |
dc.identifier.isbn | 978-953-184-191-7 | |
dc.identifier.publicationfirstpage | 63 | |
dc.identifier.publicationlastpage | 66 | |
dc.identifier.publicationtitle | IWSSIP2014, 21st International Conference on Systems, Signals and Image Processing: Proceedings | en |
dc.identifier.uri | https://hdl.handle.net/10016/23645 | |
dc.identifier.uxxi | CC/0000023327 | |
dc.language.iso | eng | |
dc.publisher | IEEE | |
dc.relation.eventdate | 12-15 May 2014 | |
dc.relation.eventplace | Croacia, Dubrovnik | es |
dc.relation.eventtitle | International Conference on Systems, Signals and Image Processing - IWSSIP | en |
dc.relation.projectID | Gobierno de España. TRA2010-20225-C03-01 | es |
dc.relation.projectID | Gobierno de España. TRA2011-29454-C03-02 | es |
dc.relation.projectID | Comunidad de Madrid. S2009DPI-1509/SEGAUTO-II | es |
dc.relation.projectID | Gobierno de España. TRA2013-48314-C3-1-R | es |
dc.rights | © 2014 IEEE | |
dc.rights.accessRights | open access | |
dc.subject.eciencia | Robótica e Informática Industrial | es |
dc.subject.other | Classification algorithms | en |
dc.subject.other | Clutter | en |
dc.subject.other | Data integration | en |
dc.subject.other | Equations | en |
dc.subject.other | Filtering algorithms | en |
dc.subject.other | Mathematical model | en |
dc.subject.other | Rotation measurement | en |
dc.title | Computer vision and laser scanner road environment perception | en |
dc.type | conference paper | * |
dc.type.hasVersion | AM | * |
dspace.entity.type | Publication |
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