航天员混合现实训练与支持技术研究  

Study on Mixed Reality Training and Support Technology for Astronauts

作　　者：晁建刚[1] 许振瑛 何宁[1] 孙庆伟 魏源宏 胡帅星 CHAO Jiangang;XU Zhenying;HE Ning;SUN Qingwei;WEI Yuanhong;HU Shuaixing(National Key Laboratory of Human Factor Engineering,China Astronaut Research and Training Center,Beijing 100094,China;Department of Aerospace Science and Technology,Space Engineering University,Beijing 101416,China)

机构地区：[1]中国航天员科研训练中心人因工程重点实验室,北京100094 [2]航天工程大学宇航科学与技术系,北京101416

出　　处：《载人航天》2023年第4期470-477,共8页Manned Spaceflight

基　　金：人因工程重点实验室基金(SYFD062003,GJSD22007);载人航天领域预先研究项目(18131060601)。

摘　　要：基于航天员地面单人便携训练、多人协同操作训练、空间在轨操作辅助支持以及远程协同支持等工程任务需要,开展混合现实训练与支持技术研究。设计了航天员混合现实训练与支持的工程实现总体技术框架,针对航天员地面训练环境、在轨任务环境以及远程支持环境等特殊因素,对混合现实头盔头部位姿实时估计技术、多人协同操作技术以及远程支持场景匹配等关键技术进行研究。试验验证和航天员体验表明,技术方法有效、用户体验良好,满足空间站航天员地面与长期在轨典型性训练和支持任务需求,提高了训练支持质量和效率。Based on the requirements of single-person astronaut training,multi-person cooperative operation training,on-orbit operation auxiliary support,and remote cooperative support,the overall technical framework for implementing astronaut mixed reality training and support was proposed.Ai-ming at the special factors,such as the ground training environment,the on-orbit task environment,and the remote support environment,the real-time helmet pose estimation research was focused.Mo-reover,the cooperative operation in the same environment and the remote support in the matched scene were discussed.The tests and the astronaut experiences showed that the proposed technology was useful and an effective training model was provided.The MR training could satisfy the require-ments of typical training and support tasks both on the ground and in orbit.The proposed method could improve the quality and efficiency of astronaut operations.

关 键 词：航天员 混合现实 位姿估计 场景匹配 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术] V19[自动化与计算机技术—计算机科学与技术]