Abstract
In order to respond effectively to the environment uncertainties, autonomous vehicles are generally equipped with sensors. The proposed car guidance system is equipped with an intelligent controller, based on fuzzy logic, which calculates the speed and wheels orientation in order to follow a path while it is avoiding unknown obstacles. Better fluidity of driving are obtained using future-path, car dimension and car position prevision. Vehicle symmetries also speed-up and simplify the guidance system reducing the inputs and the rules numbers.
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© 2009 Springer-Verlag Berlin Heidelberg
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Raimondi, F.M., Ciancimino, L.S. (2009). An Intelligent Car Driver for Safe Navigation with Fuzzy Obstacle Avoidance. In: Di Gesù, V., Pal, S.K., Petrosino, A. (eds) Fuzzy Logic and Applications. WILF 2009. Lecture Notes in Computer Science(), vol 5571. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02282-1_42
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DOI: https://doi.org/10.1007/978-3-642-02282-1_42
Publisher Name: Springer, Berlin, Heidelberg
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