针对动态未知环境下的自主虚拟人实时避障问题，提出一种基于混合感知信息的路径规划模型。
Aiming at the problem of real-time obstacle avoidance for autonomous virtual humans in dynamic unknown environment, this paper presents a path planning model based on the mixed perception information.
在智能化虚拟人自主行为模型的研究过程中，感知功能是建立虚拟人行为模型的基础。
The perceptive function is the foundation of virtual human behavior modeling in the research of the intelligent virtual human autonomous behavior model.
目前，将人工智能技术引入到虚拟现实中，构造出具有自主行为的智能虚拟人是虚拟现实研究的一个重要内容。
Presently, it is an important content of VR study to construct the intelligent virtual human with autonomic behaviors by introducing AI (Artificial Intelligence) to VR.
应用推荐