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dc.contributor.authorVillagrá, Jorgees_ES
dc.contributor.authorArtuñedo, Antonioes_ES
dc.contributor.authorTrentin, Viniciuses_ES
dc.contributor.authorGodoy, Jorgees_ES
dc.date.accessioned2020-09-02T09:14:16Z-
dc.date.available2020-09-02T09:14:16Z-
dc.date.issued2020-10-
dc.identifier.citationIEEE 3rd Connected and Automated Vehicles Symposium (CAVS): (2020)es_ES
dc.identifier.urihttp://hdl.handle.net/10261/218984-
dc.description.abstractTo make the massive deployment of automated vehicles possible in complex urban environments, it is essential to provide them with the ability of making safe and useful decisions.To tha tend,it is necessary to improve their capability to infer the intentions of the surrounding vehicles and their associated collision risk for the ego-vehicle in complex driving scenes. This work shows the implementation and validation in simulation of a probabilistic approach to estimate the risk of driving under uncertain conditions, combining (i) intention estimations and (ii) the expected behaviour of vehicles according to the topology and the subsequent traffic rules of the considered driving scenario. Promising results in terms of success rate and prediction horizon have been obtained testing the proposed approach in driving situations where lateral intention estimation is relevant, namely in multi-lane roundabouts and highways.es_ES
dc.description.sponsorshipThis work has been partially funded by the Spanish Ministry of Science, Innovation and Universities with National Project COGDRIVE (DPI2017-86915-C3-1-R), the Community of Madrid through SEGVAUTO 4.0-CM (S2018EMT-4362) Programme, and by the European Commission through the Projects NEWCONTROL (ECSEL-826653-2) and SECREDAS (ECSEL-783119-2).es_ES
dc.language.isoenges_ES
dc.publisherInstitute of Electrical and Electronics Engineerses_ES
dc.relationMICIU/ICTI2017-2020/DPI2017-86915-C3-1-Res_ES
dc.relationS2018/EMT-4362/SEGVAUTO 4.0-CMes_ES
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/826653-2es_ES
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/783119-2es_ES
dc.relation.isversionofPreprintes_ES
dc.rightsclosedAccesses_ES
dc.subjectAutomated vehicleses_ES
dc.subjectComplex urban environmentses_ES
dc.subjectInteraction-aware riskes_ES
dc.subjectRisk assessmentes_ES
dc.titleInteraction-aware risk assessment: focus on the lateral intentiones_ES
dc.typecomunicación de congresoes_ES
dc.description.peerreviewedPeer reviewedes_ES
dc.contributor.funderMinisterio de Ciencia, Innovación y Universidades (España)es_ES
dc.contributor.funderComunidad de Madrides_ES
dc.contributor.funderEuropean Commissiones_ES
dc.relation.csices_ES
oprm.item.hasRevisionno ko 0 false*
dc.identifier.funderhttp://dx.doi.org/10.13039/100012818es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100000780es_ES
dc.contributor.orcidVillagrá, Jorge [0000-0002-3963-7952]es_ES
dc.contributor.orcidArtuñedo, Antonio [0000-0003-2161-9876]es_ES
dc.contributor.orcidGodoy, Jorge [0000-0002-3132-5348]es_ES
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