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• W2029207867 endingPage "1517" @default.
• W2029207867 startingPage "1502" @default.
• W2029207867 abstract "Lateral control is considered to be one of the toughest challenges in the development of automated vehicles due to their features of nonlinearities, parametric uncertainties and external disturbances. In order to overcome these difficulties, an adaptive fuzzy-sliding mode control strategy used for lateral control of vision-based automated vehicles is proposed in this paper. First, a vision algorithm is designed to provide accurate location information of vehicle relative to reference path. Then, an adaptive fuzzy-sliding mode lateral controller is proposed to counteract parametric uncertainties and strong nonlinearities, and the asymptotic stability of the closed-loop lateral control system is proven by the Lyapunov theory. Finally, experimental results indicate that the proposed algorithm can achieve favourable tracking performance, and it has strong robustness." @default.
• W2029207867 created "2016-06-24" @default.
• W2029207867 creator A5003318831 @default.
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• W2029207867 date "2013-10-01" @default.
• W2029207867 modified "2023-09-28" @default.
• W2029207867 title "An adaptive fuzzy-sliding lateral control strategy of automated vehicles based on vision navigation" @default.
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• W2029207867 doi "https://doi.org/10.1080/00423114.2013.811789" @default.
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