A New K-DOPs Collision Detection Algorithms Improved by GA

【Author】

Wei Zhao,Lei Li XinCheng Street,Changchun City,Jilin Province,China 2888,College of Information Technology,Jilin Agricultural University,130118,China

【Abstract】

In collision detection algorithm based on bounding volume hierarchies, the update cost of the bounding volume hierarchies tree when the collision detection object motion or deformation directly influenced speed of collision detection. According to this trait, the update of bounding volume hierarchies was optimized by utilizing temporal-spatial coherence in virtual environment, to reduce the cost when the collision detection object motion or deformation that coused the update of the bounding volume hierarchies tree by using the genetic algorithm instead of traditional approximate method and improve the speed of collision detection greatly. The emulation experimental of the collision between cars show that this algorithm can solve the complexity and improve the property of the collision detection algorithm effectively.

【Keywords】

collision detection; bounding box; K-DOPs; genetic algorithms(GA); virtual reality.

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