Rapidly Adapting Machine Vision for Automated Vehicle Steering
IEEE Expert: Intelligent Systems and Their Applications
Coevolution of active vision and feature selection
Biological Cybernetics
Ohio State University at the 2004 DARPA Grand Challenge: Developing a Completely Autonomous Vehicle
IEEE Intelligent Systems
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Evolving controllers for simulated car racing using object oriented genetic programming
Proceedings of the 9th annual conference on Genetic and evolutionary computation
The 2007 IEEE CEC simulated car racing competition
Genetic Programming and Evolvable Machines
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
On-road vehicle detection using evolutionary Gabor filter optimization
IEEE Transactions on Intelligent Transportation Systems
An evolutionary tuned driving system for virtual car racing games: The AUTOPIA driver
International Journal of Intelligent Systems
Advanced overtaking behaviors for blocking opponents in racing games using a fuzzy architecture
Expert Systems with Applications: An International Journal
Car setup optimization via evolutionary algorithms
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advences in computational intelligence - Volume Part II
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Computational intelligence competitions have recently gained a lot of interest. These contests motivate and encourage researchers to participate on them, and to apply their work areas to specific games. During the last two years, one of the most popular competitions held on Computational Intelligence in Games conferences is the Car Racing Competition. This competition combines the fun of driving to win and the challenge of obtaining autonomous driving, which is known as a very difficult problem and faced by a lot of researches from different perspectives. For this competition, we have developed a controller with fuzzy rules and fuzzy sets for input and output, which were evolved using a genetic algorithm in order to optimise lap times, damage taken and out of track time. The design of this controller is explained in detail in this article, as well as the results obtained at the end of the contest.