场景语义信息引导的路径规划  

Path planning guided by semantic information

作　　者：刘文杰[1] 刘弘[1] 陈莉[1] 

机构地区：[1]山东师范大学信息科学与工程学院,山东省分布式计算机软件新技术重点实验室,山东济南250014

出　　处：《济南大学学报（自然科学版）》2016年第2期139-143,共5页Journal of University of Jinan(Science and Technology)

基　　金：国家自然科学基金(61272094)

摘　　要：针对人群疏散的仿真模拟中,如何引导虚拟人群避免与障碍物发生碰撞,顺利通过复杂环境到达期望目标的问题,提出一种基于语义信息的路线规划方法。该方法首先采用语义信息实现全局路径规划,进而利用势场方法来避免碰撞,最终完成人群的快速疏散。仿真结果表明,该方法在产生高质量路径的同时,可以快速灵活地完成人群在复杂场景中的运动,提高了疏散效率。In the simulation of crowd evacuation,how to guide the virtual crowd through complex environment and to avoid collision with obstacles to reach the desired goal is a problem. We put forward a kind of route planning method based on semantic information.This method firstly realizes global path planning using semantic information,and then uses the potential field method to avoid collision with obstacles,and finally completes the rapid evacuation of crowd. Simulation results show that the method can produce high-quality path and guide the virtual crowd movement quickly and flexibly in complex scenes to improve the efficiency of evacuation.

关 键 词：场景语义 指示路线 路径规划 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]