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dc.contributor.authorNaranjo, José E.-
dc.contributor.authorGonzález, Carlos-
dc.contributor.authorGarcía Rosa, Ricardo-
dc.contributor.authorPedro, Teresa de-
dc.contributor.authorHaber Guerra, Rodolfo E.-
dc.date.accessioned2008-02-28T10:33:45Z-
dc.date.available2008-02-28T10:33:45Z-
dc.date.issued2005-12-
dc.identifier.citationIEEE Transactions on Intelligent Transportation Systems, vol. 6, nº 4, Decembre 2005en_US
dc.identifier.urihttp://hdl.handle.net/10261/3106-
dc.descriptionThe Associate Editor for this paper was R. Goudy. The authors are with the Industrial Computer Science Department, Instituto de Automatica Industrial (CSIC), La Poveda-Arganda del Rey, 28500 Madrid.en_US
dc.description.abstractThe unmanned control of the steering wheel is, at present, one of the most important challenges facing researchers in autonomous vehicles within the field of intelligent transportation systems (ITSs). In this paper, we present a two-layer control architecture for automatically moving the steering wheel of a mass-produced vehicle. The first layer is designed to calculate the target position of the steering wheel at any time and is based on fuzzy logic. The second is a classic control layer that moves the steering bar by means of an actuator to achieve the position targeted by the first layer. Real-time kinematic differential global positioning system (RTK-DGPS) equipment is the main sensor input for positioning. It is accurate to about 1 cm and can finely locate the vehicle trajectory. The developed systems are installed on a Citroen Berlingo van, which is used as a testbed vehicle. Once this control architecture has been implemented, installed, and tuned, the resulting steering maneuvering is very similar to human driving, and the trajectory errors from the reference route are reduced to a minimum. The experimental results show that the combination of GPS and artificial-intelligence-based techniques behaves outstandingly. We can also draw other important conclusions regarding the design of a control system derived from human driving experience, providing an alternative mathematical formalism for computation, human reasoning, and integration of qualitative and quantitative information.en_US
dc.description.sponsorshipThis work was supported in part by the Spanish Ministry of Education under Grant ISAAC CICYT DPI2002-04064-C05-02, the Spanish Ministry of Public Works under Grant COPOS BOE 280 November 22, 2002. Res. 22778, and the Citroen Espana S.A. under Contract “Adquirir nuevos conocimientos sobre la introducción de las tecnologias de la información en el mundo del automóvil y para difundirlos en los ambitos cientificos, empresariales y comerciales (Autopia).”en_US
dc.format.extent631171 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rightsopenAccessen_US
dc.subjectArchitectureen_US
dc.subjectfuzzy controlen_US
dc.subjectglobal positioningen_US
dc.subjectintelligent controlen_US
dc.subjectroad vehicle controlen_US
dc.titlePower-Steering Control Architecture for Automatic Drivingen_US
dc.typeArtículoen_US
dc.identifier.doi10.1109/TITS.2005.858622-
dc.description.peerreviewedPeer revieweden_US
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