Sining Cheng1, Huiyan Qu2
1Haikou University of Economics, Hainan 571127, Haikou, China
2School of Information Technology, Jilin Agricultural University, Changchun 130118, Jilin, China
With the rapid development of computer technology and network communication and other related fields, virtual reality has been widely used in all aspects, but there are still some problems at present. It cannot generate data information during real-time collision detection. However, the real-time collision detection system in virtual reality can accurately and quickly track and measure the target object. Therefore, this paper studies the real-time collision detection problem in virtual reality based on fast tracking of the target. To this end, this article mainly uses experimental methods, data collection methods and other methods to carry out algorithmic research and technical exploration on real-time collision detection problems. This article describes the virtual reality technology and collision detection algorithm in detail, and conducts real-timecollision experiments. Experimental results show that collision detection based on particle swarm algorithm has high real-time performance, and the time is controlled within 1 second. This algorithm is worthy of being used and explored in collision problems.
Virtual Reality, Real-Time Collision, Research Review, Problem Detection
Sining Cheng, Huiyan Qu. Key Issues of Real-time Collision Detection in Virtual Reality. International Journal of Frontiers in Engineering Technology (2021), Vol. 3, Issue 5: 43-49. https://doi.org/10.25236/IJFET.2021.030505.
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