A first approach in applying Artificial Potential Fields in Car Games

Detta är en Kandidat-uppsats från Blekinge Tekniska Högskola/Sektionen för datavetenskap och kommunikation

Sammanfattning: In car racing simulation games, finishing first is the main goal. To reach that goal, it is required to go around a racing track, competing against other cars aiming for the same goal. Implementing a bot for doing so may have its difficulties, although using a technique called multi-agent systems combined with artificial potential field, let- ting the agents take care of subtasks like keeping the car on the track, minimize how much the car turns in a curvature and basics in navigation around the track, has showed that artificial potential fields very well fit the problem of driving a car in simulated car racing in a competitive way.

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