DocumentCode
2793930
Title
An AI tool: Generating paths for racing game
Author
Tan, Charlie Irawan ; Chen, Chang-Min ; Tai, Wen-Kai ; Yen, Shi-Jim
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Nat. Dong Hwa Univ., Hualien
Volume
6
fYear
2008
fDate
12-15 July 2008
Firstpage
3132
Lastpage
3137
Abstract
In this paper, we propose an AI tool for generating plausible paths of racers based on the A* algorithm. User can define the race by providing a race course of 3D model and weights of the devised turn and heuristic functions in our system. The search space for path-finding is represented by a grid. Then, the proposed cost map generator automatically generates necessary information of the race course including cost value for each cell in the grid, feature cells, etc. Different from the traditional A* problem, in our research the obstacles are dynamic and there are multiple sources and destinations. Our approach generates the path on the basis of time slots and smoothes it by Gaussian filter. By the devised heuristic function we have a natural racer behavior. Also, our AI tool for path finding has been verified in a horse racing game, demonstrating realistic and exciting racing.
Keywords
Gaussian processes; artificial intelligence; computer games; filtering theory; optimisation; search problems; solid modelling; 3D model; A* algorithm; Gaussian filter; artificial intelligence tool; cost map generator; heuristic functions; horse racing game; path generation; path-finding; race course; search space; Artificial intelligence; Computer science; Cost function; Cybernetics; Filters; Horses; Interference; Machine learning; Mesh generation; Time factors; A*; AI tool; Heuristic function; Path finding; Racing game;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location
Kunming
Print_ISBN
978-1-4244-2095-7
Electronic_ISBN
978-1-4244-2096-4
Type
conf
DOI
10.1109/ICMLC.2008.4620946
Filename
4620946
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