Research of collision detection algorithm based on hybrid bounding box for complex environment

In this paper, the detection efficiency of common collision detection (CD) algorithms are analyzed and compared firstly. Then a new CD algorithm using hybrid bounding box is presented based on the principal characteristics that complex virtual environment has many objects. This algorithm can reduce the time complexity from o(n2) to o(n) by using the relationship of time and geometry between the frame and the frame, and it can reasonably control the detection depth for different applications to quicken the detection rate by introducing the conception of depth of the tree. At last, the experiment demonstrates that the algorithm can satisfy the real-time interactive collision detection for environment consisting of more than 800 moving objects.