Automatic lateral control for unmanned vehicles via genetic algorithms

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dc.contributor.authorOnieva, E.
dc.contributor.authorNaranjo, J. E.
dc.contributor.authorMilanés, V.
dc.contributor.authorAlonso, J.
dc.contributor.authorGarcía, R.
dc.contributor.authorPérez, J.
dc.contributor.institutionCCAM
dc.date.accessioned2024-09-13T10:35:04Z
dc.date.available2024-09-13T10:35:04Z
dc.date.issued2011-01
dc.description.abstractIt is known that the techniques under the topic of Soft Computing have a strong capability of learning and cognition, as well as a good tolerance to uncertainty and imprecision. Due to these properties they can be applied successfully to Intelligent Vehicle Systems; ITS is a broad range of technologies and techniques that hold answers to many transportation problems. The unmanned control of the steering wheel of a vehicle is one of the most important challenges facing researchers in this area. This paper presents a method to adjust automatically a fuzzy controller to manage the steering wheel of a mass-produced vehicle; to reach it, information about the car state while a human driver is handling the car is taken and used to adjust, via iterative genetic algorithms an appropriated fuzzy controller. To evaluate the obtained controllers, it will be considered the performance obtained in the track following task, as well as the smoothness of the driving carried out.en
dc.description.statusPeer reviewed
dc.format.extent7
dc.identifier.citationOnieva , E , Naranjo , J E , Milanés , V , Alonso , J , García , R & Pérez , J 2011 , ' Automatic lateral control for unmanned vehicles via genetic algorithms ' , Applied Soft Computing Journal , vol. 11 , no. 1 , pp. 1303-1309 . https://doi.org/10.1016/j.asoc.2010.04.003
dc.identifier.doi10.1016/j.asoc.2010.04.003
dc.identifier.issn1568-4946
dc.identifier.urihttps://hdl.handle.net/11556/5273
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=77957898007&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofApplied Soft Computing Journal
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsAutonomous vehicles
dc.subject.keywordsFuzzy control
dc.subject.keywordsGenetic algorithms
dc.subject.keywordsIntelligent Transportation Systems (ITSs)
dc.subject.keywordsLateral control
dc.subject.keywordsSoftware
dc.subject.keywordsSDG 11 - Sustainable Cities and Communities
dc.titleAutomatic lateral control for unmanned vehicles via genetic algorithmsen
dc.typejournal article
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