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Improving autonomous vehicle automation through human-system interaction

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dc.contributor.authorFernandez Matellan, Raul
dc.contributor.authorMartin Gomez, David
dc.contributor.authorTena Gago, David
dc.contributor.authorPuertas Ramírez, David
dc.contributor.authorGonzález Boticario, Jesús
dc.date.accessioned2024-06-11T15:22:38Z
dc.date.available2024-06-11T15:22:38Z
dc.description.abstractSelf-driving cars (a.k.a. Autonomous Vehicles) have many challenges to tackle before having them fully deployed in our roads and cities. A critical one, which has been somehow neglected till recently, is to consider the driver in the system-user loop of vehicle performance. The purpose here is to tackle some of the current pending challenges involved in scaling up the level of autonomy of these systems. We have designed two user-vehicle experiences in two different sites with a common methodology that serves as an umbrella to collect all features required to model the driver-user. These two sites allow us to contrast and fine-tune this modelling issue. The approach consists in following a Learning Apprentice approach, where both the user behaviour and the system behaviour are learned and improved in a symbiotic ecosystem. This paper focuses on discussing the advantages of this approach and the main issues that require further research.en
dc.description.versionversión publicada
dc.identifier.urihttps://hdl.handle.net/20.500.14468/22478
dc.language.isoen
dc.publisherEUROSIS
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.departmentInteligencia Artificial
dc.rightsAtribución-NoComercial-SinDerivadas 4.0 Internacional
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subject.keywordsBehavioural science
dc.subject.keywordsControl systems
dc.subject.keywordsImage processing
dc.subject.keywordsTransportation
dc.subject.keywordsModel design
dc.subject.keywordsHuman Factors
dc.subject.keywordsHuman- Vehicle Interactions
dc.subject.keywordsComputer Vision
dc.subject.keywordsHuman-centred computing
dc.subject.keywordsAutomation
dc.subject.keywordsUser models
dc.subject.keywordsUser centred design
dc.subject.keywordsSelf-driving cars
dc.subject.keywordsAutonomous vehicles
dc.subject.keywordsMachine Learning
dc.titleImproving autonomous vehicle automation through human-system interactiones
dc.typeactas de congresoes
dc.typeconference proceedingsen
dspace.entity.typePublication
relation.isAuthorOfPublication749c1f54-02e4-48fb-95f3-c77150d49d37
relation.isAuthorOfPublicatione067a1f1-6036-4974-a582-85b556587d18
relation.isAuthorOfPublication.latestForDiscovery749c1f54-02e4-48fb-95f3-c77150d49d37
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