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基于虚拟现实的航天员舱内导航训练方法

刘相, 刘玉庆, 朱秀庆, 安明, 胡福超

刘相, 刘玉庆, 朱秀庆, 安明, 胡福超. 基于虚拟现实的航天员舱内导航训练方法[J]. 计算机辅助设计与图形学学报, 2017, 29(1): 101-107.
引用本文: 刘相, 刘玉庆, 朱秀庆, 安明, 胡福超. 基于虚拟现实的航天员舱内导航训练方法[J]. 计算机辅助设计与图形学学报, 2017, 29(1): 101-107.
Liu Xiang, Liu Yuqing, Zhu Xiuqing, An Ming, Hu Fuchao. Virtual Reality Based Training Methods for Navigation in Space Station[J]. Journal of Computer-Aided Design & Computer Graphics, 2017, 29(1): 101-107.
Citation: Liu Xiang, Liu Yuqing, Zhu Xiuqing, An Ming, Hu Fuchao. Virtual Reality Based Training Methods for Navigation in Space Station[J]. Journal of Computer-Aided Design & Computer Graphics, 2017, 29(1): 101-107.

基于虚拟现实的航天员舱内导航训练方法

基金项目: 

国防基础科研计划(B1720132001);人因工程国防科技重点实验室资金资助项目(SYFD140051807).

详细信息
    作者简介:

    刘相(1991-),男,硕士研究生,主要研究方向为航天飞行训练仿真;刘玉庆(1962-),女,博士,研究员,硕士生导师,主要研究方向为航天飞行训练模拟、虚拟现实;朱秀庆(1964-),男,硕士,副研究员,主要研究方向为航天飞行训练模拟、虚拟现实;安明(1983-),男,硕士,助理研究员,主要研究方向为航天飞行训练模拟.;胡福超(1980-),男,硕士,助理研究员,主要研究方向为航天飞行训练模拟.

    通讯作者:

    刘相,E-mail:lx9177xiang@163.com

  • 中图分类号: TP391.41

Virtual Reality Based Training Methods for Navigation in Space Station

  • 摘要: 为了帮助航天员掌握在失重环境下依赖视觉信息进行舱内导航的技能,提出2种训练方法并探讨其优劣.首先利用虚拟现实技术建立了空间站模型,模拟航天员以不同身体姿态漫游时获取的视觉反馈,设计了强调舱段视觉正向的局部正向法和注重空间站视觉正向的整体正向法,并开展实验探究;然后通过数据分析得出文中方法对导航任务绩效存在显著影响,其中局部正向法能够强化地标和路线知识;而整体正向法有利于建立完整的空间认知地图,并且适合于低能见度条件下的应急撤离训练.
    Abstract: To train astronauts' navigation skills which rely on visual cues in weightlessness, two virtual training methods were proposed and discussed. Firstly, we employed virtual reality technique to establish a simulated space station, providing variable viewpoints for astronauts' movement with different body orientations. Then an experiment was conducted by comparing "Local" method which emphasized local visual verticals with "Global" method which focused on the entire space station. Experimental results show that training methods have a significant effect on navigation performance. Local training enhances landmark and route knowledge, global training helps to develop an integrated cognitive map and fits for evacuation training under low visibility conditions.
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出版历程
  • 收稿日期:  2016-01-05
  • 修回日期:  2016-05-09
  • 刊出日期:  2017-01-19

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