gps map tracking of fuzzy logic based lateral controls
G.Dhanalakshmi,S.Hebsibal
Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology
ISSN: 2321-3337 Impact Factor:1.521 Volume:3 Issue:3 Year: 25 October,2014 Pages:375-383
Abstract
The robotic control of the upper and the maneuvering of a vehicle are two of the primary stairs in society to develop autonomous intelligent vehicles. In this paper, a development of steering control for automated cars based on fuzzy logic and its related subject area tests are given. Artificial intelligence techniques are employed for controlling a wide range of systems, trying to emulate the human behavior when classical control models are too much complex and take a great deal of design time. Particularly, fuzzy logic control techniques are well proven successful methods of managing systems where there seem to be limitations of classical control. Our control scheme has been set up in two Citroen Berlin go test bed vans whose steering wheel has been automated and can be manipulated from a computer. The main sensorial input is an RTK DGPS that gives us positioning with one-centimeter precision. The answers of the realized experiments show a human like system performance with adaptation capability of any kind of track
Kewords
Artificial Intelligence, RTK DGPS, Map
Reference
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