面向AR虚实士兵对抗训练的分布式感知技术

基于AR的虚实士兵对抗训练,可以很好地解决当前军事训练人员调动繁琐、前期准备工作量大、成本高以及不够灵活等问题。为了提高AR对抗训练的实用性,针对AR环境中虚实士兵相互感知的问题,基于高层体系结构(HLA),提出了一种面向AR虚实士兵对抗训练系统的分布式感知技术。首先基于HLA设计虚实融合的联邦体系架构,通过MEMS惯性传感器获取的真实士兵动作捕捉数据实时驱动虚拟化身运动,利用发布订阅机制实现虚实士兵状态和行为信息的实时更新和相互感知。最后,设计一个原型系统用以验证上述方法的可行性。实验结果表明,分布式感知技术能够很好地解决AR对抗训练系统中虚实士兵相互感知问题。

The Perception Technology in AR Confrontation System for Virtual and Real Force

AR-based virtual and real soldier confrontation training can solve the problems such as the tedious deployment of military training personnel,large amount of preparation work in the early stage,high cost,and inflexibility.To improve the practicability of AR training,and to realize the mutual perception of virtual and real soldiers in AR environment,a distributed sensing technology for AR counterfeit and actual soldier confrontation training system based on high-level architecture(HLA)has been proposed.Firstly,the virtual reality fusion federal architecture was designed based on high-level architecture(HLA).After that,the real avatar movement data captured by MEMS inertial sensors was used to drive the virtual avatar movement in real time.Then,the publish-subscribe mechanism was used to realize the status of actual and actual soldiers Real-time updates and mutual perception.Finally,to prove the feasibility of this method,a prototype system was designed.Experiments show that the distributed sensing technology proposed in this paper can well solve the mutual perception problem of the actual soldiers in the AR countermeasure training system.