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Environment perception based on LIDAR sensors for real road applications

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dc.affiliation.dptoUC3M. Departamento de Ingeniería de Sistemas y Automáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Laboratorio de Sistemas Inteligenteses
dc.contributor.authorGarcía, Fernando
dc.contributor.authorJiménez, Felipe
dc.contributor.authorNaranjo, J.E.
dc.contributor.authorZato, J.G.
dc.contributor.authorAparicio, Francisco
dc.contributor.authorArmingol Moreno, José María
dc.contributor.authorEscalera Hueso, Arturo de la
dc.date.accessioned2013-09-24T15:30:10Z
dc.date.available2013-09-24T15:30:10Z
dc.date.issued2012-05
dc.description.abstractThe recent developments in applications that have been designed to increase road safety require reliable and trustworthy sensors. Keeping this in mind, the most up-to-date research in the field of automotive technologies has shown that LIDARs are a very reliable sensor family. In this paper, a new approach to road obstacle classification is proposed and tested. Two different LIDAR sensors are compared by focusing on their main characteristics with respect to road applications. The viability of these sensors in real applications has been tested, where the results of this analysis are presented.The recent developments in applications that have been designed to increase road safety require reliable and trustworthy sensors. Keeping this in mind, the most up-to-date research in the field of automotive technologies has shown that LIDARs are a very reliable sensor family. In this paper, a new approach to road obstacle classification is proposed and tested. Two different LIDAR sensors are compared by focusing on their main characteristics with respect to road applications. The viability of these sensors in real applications has been tested, where the results of this analysis are presented.en
dc.description.sponsorshipThe work reported in this paper has been partly funded by the Spanish Ministry of Science and Innovation (TRA2007- 67786-C02-01, TRA2007-67786-C02-02, and TRA2009- 07505) and the CAM project SEGVAUTO-II.en
dc.description.statusPublicado
dc.format.extent9
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationRobotica, vol. 30, issue 2 (March 2012), pp. 185-193es
dc.identifier.doi10.1017/S0263574711000270
dc.identifier.issn0263-5747 (print)
dc.identifier.issn1469-8668 (online)
dc.identifier.publicationfirstpage185
dc.identifier.publicationissue2
dc.identifier.publicationlastpage193
dc.identifier.publicationtitleRoboticaes
dc.identifier.publicationvolume30
dc.identifier.urihttps://hdl.handle.net/10016/17598
dc.identifier.uxxiAR/0000009805
dc.language.isoeng
dc.publisherCambridge University Press
dc.relation.projectIDComunidad de Madrid. S2009/DPI-1509/SEGVAUTO
dc.relation.publisherversionhttp://dx.doi.org/10.1017/S0263574711000270
dc.rights© Cambridge University Press
dc.rights.accessRightsopen access
dc.subject.otherData fusionen
dc.subject.otherIntelligent vehiclesen
dc.subject.otherADASen
dc.subject.otherLIDARen
dc.subject.otherAdvanced Driver Assistance Systemsen
dc.titleEnvironment perception based on LIDAR sensors for real road applicationsen
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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