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.
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。
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RAPM can abstract the entities in Internet, classify real-time information and get those on the Internet through autonomous perception to build paths.
They spread like viruses, resistant to the passage of time, in an endless game of mutations where they constantly interfere with the perception of the "real".