Automatic car driving based on fuzzy logic and GNSS Online publication date: Sun, 28-Jan-2007
by Jose E. Naranjo, Carlos Gonzalez, Ricardo Garcia, Teresa De Pedro, Miguel A. Sotelo
International Journal of Vehicle Autonomous Systems (IJVAS), Vol. 4, No. 2/3/4, 2006
Abstract: The goal of Intelligent Transport Systems (ITS) is to fully automate driving. ITS is the application of technology to vehicles and roadways to increase safety. Adaptive Cruise Control (ACC) and other assistants are all part of ITS. There is consensus among professionals that developments will move progressively from ACC to automatic driving. In this paper, we resent an approximation to automatic driving, which differs from other developments mainly in that it is based upon global navigation satellite system and artificial vision information. Also the computation for navigation is based on a set of fuzzy logic controllers that manage the vehicle actuators. Mass-produced cars have been instrumented to behave automatically when circulating in private circuits. A fuzzy controller has been designed to manage the vehicle actuators: steering wheel, throttle and brake. Automatic driving tests have been performed, resulting in very human-like vehicle management, in steering as well as speed control.
Online publication date: Sun, 28-Jan-2007
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Vehicle Autonomous Systems (IJVAS):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email firstname.lastname@example.org