Publication: Environment perception based on LIDAR sensors for real road applications
dc.affiliation.dpto | UC3M. Departamento de Ingeniería de Sistemas y Automática | es |
dc.affiliation.grupoinv | UC3M. Grupo de Investigación: Laboratorio de Sistemas Inteligentes | es |
dc.contributor.author | García, Fernando | |
dc.contributor.author | Jiménez, Felipe | |
dc.contributor.author | Naranjo, J.E. | |
dc.contributor.author | Zato, J.G. | |
dc.contributor.author | Aparicio, Francisco | |
dc.contributor.author | Armingol Moreno, José María | |
dc.contributor.author | Escalera Hueso, Arturo de la | |
dc.date.accessioned | 2013-09-24T15:30:10Z | |
dc.date.available | 2013-09-24T15:30:10Z | |
dc.date.issued | 2012-05 | |
dc.description.abstract | 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.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.sponsorship | The 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.status | Publicado | |
dc.format.extent | 9 | |
dc.format.mimetype | application/pdf | |
dc.identifier.bibliographicCitation | Robotica, vol. 30, issue 2 (March 2012), pp. 185-193 | es |
dc.identifier.doi | 10.1017/S0263574711000270 | |
dc.identifier.issn | 0263-5747 (print) | |
dc.identifier.issn | 1469-8668 (online) | |
dc.identifier.publicationfirstpage | 185 | |
dc.identifier.publicationissue | 2 | |
dc.identifier.publicationlastpage | 193 | |
dc.identifier.publicationtitle | Robotica | es |
dc.identifier.publicationvolume | 30 | |
dc.identifier.uri | https://hdl.handle.net/10016/17598 | |
dc.identifier.uxxi | AR/0000009805 | |
dc.language.iso | eng | |
dc.publisher | Cambridge University Press | |
dc.relation.projectID | Comunidad de Madrid. S2009/DPI-1509/SEGVAUTO | |
dc.relation.publisherversion | http://dx.doi.org/10.1017/S0263574711000270 | |
dc.rights | © Cambridge University Press | |
dc.rights.accessRights | open access | |
dc.subject.other | Data fusion | en |
dc.subject.other | Intelligent vehicles | en |
dc.subject.other | ADAS | en |
dc.subject.other | LIDAR | en |
dc.subject.other | Advanced Driver Assistance Systems | en |
dc.title | Environment perception based on LIDAR sensors for real road applications | en |
dc.type | research article | * |
dc.type.hasVersion | VoR | * |
dspace.entity.type | Publication |
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