DocumentCode :
1841313
Title :
Evolving a rule system controller for automatic driving in a car racing competition
Author :
Perez, Diego ; Saez, Yago ; Recio, Gustavo ; Isasi, Pedro
Author_Institution :
Carlos III Univ. of Madrid, Leganes
fYear :
2008
fDate :
15-18 Dec. 2008
Firstpage :
336
Lastpage :
342
Abstract :
The techniques and the technologies supporting automatic vehicle guidance are important issues. Automobile manufacturers view automatic driving as a very interesting product with motivating key features which allow improvement of the car safety, reduction in emission or fuel consumption or optimization of driver comfort during long journeys. Car racing is an active research field where new advances in aerodynamics, consumption and engine power are critical each season. Our proposal is to research how evolutionary computation techniques can help in this field. For this work we have designed an automatic controller that learns rules with a genetic algorithm. This paper is a report of the results obtained by this controller during the car racing competition held in Hong Kong during the IEEE World Congress on Computational Intelligence (WCCI 2008).
Keywords :
control system synthesis; genetic algorithms; road vehicles; IEEE World Congress on Computational Intelligence; aerodynamics; automatic controller design; automatic driving; automatic vehicle guidance; automobile manufacturers; car racing competition; car safety; emission reduction; fuel consumption; rule system controller; Aerodynamics; Automatic control; Automobile manufacture; Control systems; Engines; Fuels; Navigation; Product safety; Proposals; Vehicle safety;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Games, 2008. CIG '08. IEEE Symposium On
Conference_Location :
Perth, WA
Print_ISBN :
978-1-4244-2973-8
Electronic_ISBN :
978-1-4244-2974-5
Type :
conf
DOI :
10.1109/CIG.2008.5035659
Filename :
5035659
Link To Document :
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