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Collision detection algorithm based on EON studio platform

LIU Aihua;ZHOU Jianzhao;XU Xiaopan;CHU Weijun;Navy Submarine Acadamy;College of Field Engineering,PLA Univ.of Sci.& Tech.;  
To effectively improve the facticity and immersion of the virtual maintenance environment and strengthen the detailed descriptions,K-DOPS bounding box algorithm of collision detection was applied to the virtual maintenance feature modeling.In comparison of several classic discrete algorithms of collision detection,and combining the system requirements for real-time with detection efficiency,K-DOPS bounding box algorithm was selected,the ergodic detecting process optimized,and the compiling method with OpenGL platform presented.Through EON Studio simulation platform,the results show that the use of K-DOPS bounding box algorithm of collision detection can real-timely avoid collision and penetration between the part models in virtual maintenance training system for diesel engine,and enhance the detailed descriptions of the simulation environment.
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