Genetic Fuzzy-based Steering Wheel Controller using a Mass-Produced Car

Abstract : Intelligent Transportation Systems (ITS) cover a broad range of methods and technologies that provide answers to many problems of transportation. Unmanned control of the steering wheel 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 reproduce the steering of a human driver. To this end, information is recorded about the car's state while being driven by human drivers and used to obtain, via genetic algorithms, appropriate fuzzy controllers that can drive the car in the way that humans do. These controllers have sat- isfy two main objectives: to reproduce the human behavior, and to provide smooth actions to ensure comfortable driving. Finally, the results of automated driving on a test circuit are presented, showing both good route tracking (similar to the performance obtained by persons in the same task) and smooth driving.
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Article dans une revue
International Journal of Innovative Computing, Information and Control, ICIC International, 2012, 8 (5 (B)), pp.3477-3494. 〈http://www.ijicic.org/vol-8%285%29b.htm〉
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Contributeur : Joshué Pérez Rastelli <>
Soumis le : lundi 1 octobre 2012 - 13:53:32
Dernière modification le : mardi 17 avril 2018 - 11:23:41
Document(s) archivé(s) le : vendredi 16 décembre 2016 - 13:32:09

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  • HAL Id : hal-00732880, version 1

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Enrique Onieva, Vicente Milanés, Joshué Pérez Rastelli, Teresa De Pedro. Genetic Fuzzy-based Steering Wheel Controller using a Mass-Produced Car. International Journal of Innovative Computing, Information and Control, ICIC International, 2012, 8 (5 (B)), pp.3477-3494. 〈http://www.ijicic.org/vol-8%285%29b.htm〉. 〈hal-00732880〉

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