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Evolving cloud-based system for the recognition of drivers' actions

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Laboratorio de Control, Aprendizaje y Optimización de Sistemas (CAOS)es
dc.contributor.authorSkrjanc, Igor
dc.contributor.authorAndonovski, Goran
dc.contributor.authorLedezma Espino, Agapito Ismael
dc.contributor.authorSipele Siale, Botyuu Óscar
dc.contributor.authorIglesias Martínez, José Antonio
dc.contributor.authorSanchis de Miguel, María Araceli
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.contributor.funderUniversidad Carlos III de Madrides
dc.date.accessioned2022-09-28T14:30:34Z
dc.date.available2022-09-28T14:30:34Z
dc.date.issued2018-06-01
dc.description.abstractThis paper presents an evolving cloud-based algorithm for the recognition of drivers' actions. The general idea is to detect different manoeuvres by processing the standard signals that are usually measured in a car, such as the speed, the revolutions, the angle of the steering wheel, the position of the pedals, and others, without additional intelligent sensors. The primary goal of this investigation is to propose a concept that can be used to recognise various driver actions. All experiments are performed on a realistic car simulator. The data acquired from the simulator are pre-processed and then used in the evolving cloud-based algorithm to detect the basic elementary actions, which are then combined in a prescribed sequence to create tasks. Finally, the sequences of different tasks form the most complex action, which is called a manoeuvre. As shown in this paper, the evolving cloud-based algorithm can be very efficiently used to recognise the complex driver's action from raw signals obtained by typical car sensors. (C) 2017 Elsevier Ltd. All rights reserved.en
dc.description.sponsorshipThis work has been supported by the Program Chair of Excellence of Universidad Carlos III de Madrid and Bank of Santander and the Spanish Ministry of Economy, Industry and Competitiveness, projects TRA2015-63708-R and TRA2016-78886-C3-1-R.en
dc.identifier.bibliographicCitationI. Škrjanc et al. (2018). Evolving cloud-based system for the recognition of drivers’ actions. Expert Systems With Applications, 99, pp. 231-238. https://doi.org/10.1016/j.eswa.2017.11.008en
dc.identifier.doihttps://doi.org/10.1016/j.eswa.2017.11.008
dc.identifier.issn0957-4174
dc.identifier.publicationfirstpage231
dc.identifier.publicationlastpage238
dc.identifier.publicationtitleEXPERT SYSTEMS WITH APPLICATIONSen
dc.identifier.publicationvolume99
dc.identifier.urihttps://hdl.handle.net/10016/35806
dc.identifier.uxxiAR/0000021176
dc.language.isoeng
dc.publisherElsevieren
dc.relation.projectIDGobierno de España. TRA-2015-63708-Res
dc.relation.projectIDGobierno de España. TRA-2016-7886-C3-1-Res
dc.rights© Elsevier, 2018
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.ecienciaInformáticaes
dc.subject.otherevolving systemsen
dc.subject.otherbeheviour recognitionen
dc.subject.otherexpert systemen
dc.subject.otherclusteren
dc.titleEvolving cloud-based system for the recognition of drivers' actionsen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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