Title :
Preview fuzzy control method for intelligent vehicle path tracking
Author :
Yuan Liao ; Juhua Huang ; Qun Zeng
Author_Institution :
Sch. of Mech. & Electr. Eng., Nanchang Univ., Nanchang, China
Abstract :
Intelligent vehicle obtains path information by computer vision, and tracks detected path automatically by intelligent control. Through imitating preview driving behavior of human, and integrating driving experience of excellent drivers, an simple and effective preview fuzzy control method for path tracking of intelligent vehicle is presented in this study. The preview fuzzy control method adjusts vehicle speed by preview control according to future path information and adjusts vehicle direction by fuzzy control according to present path information. Simulations and experiments show that intelligent vehicle controlled by the preview fuzzy control method can track various paths accurately, stably and robustly.
Keywords :
computer vision; fuzzy control; intelligent control; position control; predictive control; vehicles; computer vision; intelligent control; intelligent vehicle path tracking; preview fuzzy control method; vehicle direction; vehicle speed; Niobium; Fuzzy control; Intelligent vehicle; Path tracking; Preview control; Preview fuzzy control;
Conference_Titel :
Progress in Informatics and Computing (PIC), 2010 IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-6788-4
DOI :
10.1109/PIC.2010.5687973