Efficient Ground Vehicle Path Following in Game AI
This work addresses path following for game AI, but it is incremental as it adapts existing methods.
The paper tackled efficient path following for ground vehicles in game AI by adapting established techniques with tunable parameters, achieving a 70% decrease in stuck events compared to an existing solution.
This short paper presents an efficient path following solution for ground vehicles tailored to game AI. Our focus is on adapting established techniques to design simple solutions with parameters that are easily tunable for an efficient benchmark path follower. Our solution pays particular attention to computing a target speed which uses quadratic Bezier curves to estimate the path curvature. The performance of the proposed path follower is evaluated through a variety of test scenarios in a first-person shooter game, demonstrating its effectiveness and robustness in handling different types of paths and vehicles. We achieved a 70% decrease in the total number of stuck events compared to an existing path following solution.