An Intelligent Car Driver for Safe Navigation with Fuzzy Obstacle Avoidance

被引：0
|
作者：
Raimondi, Francesco M. [1 ]
Ciancimino, Ludovico S. [1 ]
机构：
[1] Univ Palermo, DIAS, I-90128 Palermo, Italy
来源：
FUZZY LOGIC AND APPLICATIONS | 2009年 / 5571卷
关键词：
Fuzzy Logic; Intelligent Guidance; Obstacle Avoidance;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：336 / 343
页数：8
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