Autonomous vehicles have attracted considerable attention in the research community and industry. This paper addresses a problem in designing lateral control law and develops a strategy to determine the given speed of autonomous vehicles. An improved method for calculating the lateral offset and heading angle error is proposed to reduce the impact of reference path data noise. Multiple fuzzy inference engines are used to design the steering controller and determine the given driving speed, including the forward and backward directions. The stability condition is given to guide the design of fuzzy inference engines. Satisfactory simulation and experimental results have been obtained from different reference paths.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Lateral control of autonomous vehicles based on fuzzy logic


    Contributors:
    Wang, Xinyu (author) / Fu, Mengyin (author) / Ma, Hongbin (author) / Yang, Yi (author)

    Published in:

    Publication date :

    2015


    Size :

    17 Seiten, 29 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




    Adaptive Backstepping Fuzzy Lateral Motion Control Approach for Autonomous Vehicles

    Zhang, Lipeng / Zhang, Junda / Liu, Shuaishuai et al. | IEEE | 2024


    Event-Triggered Adaptive Fuzzy Approach-Based Lateral Motion Control for Autonomous Vehicles

    Zhang, Junda / Zhang, Lipeng / Liu, Shuaishuai et al. | IEEE | 2024


    Intelligent landing of autonomous aerial vehicles using fuzzy logic control

    Saghafi, Fariborz / Pouya, Soha / Khansari Zadeh, S. M. | IEEE | 2009


    Lateral control of autonomous vehicles using multi-model and fuzzy approaches

    Zhao, Jin / Lefranc, Gaston / Kamel, Abdelkader el | Tema Archive | 2010


    Managing Transition to Autonomous Vehicles Using Bayesian Fuzzy Logic

    Todorovic, Milan / Simic, Milan | Springer Verlag | 2019