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非合作目标智能感知技术研究进展与展望 被引量:11

Review and prospect of intelligent perception for non-cooperative targets
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摘要 智能感知是实现航天器在轨精细化操控过程的关键技术,是在轨服务技术智能化的重点发展方向之一。空间目标智能感知包括位姿测量、三维重建与部位识别等关键技术,涉及小样本、多模态、模型适应与高维数据等问题。从工程应用角度出发,对非合作目标智能感知技术的研究现状进行系统的梳理与总结。首先,总结典型非合作在轨感知系统与光学敏感器技术的发展现状;其次,归纳总结了非合作目标智能感知涉及的关键技术;最后,基于研究现状总结和关键技术分析,探讨了非合作目标智能感知目前存在的主要问题,并给出后续发展的建议。 Intelligent perception is the key technology to realizing the fine control process of spacecraft on-orbit,which is one of the major development directions of on-orbit intelligence service.The key technologies of space target intelligent perception include pose measurement,three-dimensional reconstruction and component recognition,which involve the issues such as few-shot,multi-modality,model adaptation and high-dimensional data.From the perspective of engineering application,the latest research progress in the non-cooperative intelligent perception technique was systematically summarized.Firstly,the research status of the representative non-cooperative on-orbit perception systems and optical sensors were reviewed.Secondly,the key technologies involved in the intelligence perception of non-cooperative targets were analyzed.Finally,according to the analysis of the research status and critical techniques,the main issues of non-cooperative target intelligent perception were discussed,and the recommendations for the further development were presented.
作者 牟金震 郝晓龙 朱文山 李爽 MU Jinzhen;HAO Xiaolong;ZHU Wenshan;LI Shuang(College of Astronautics,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China;Shanghai Key Laboratory of Aerospace Intelligent Control Technology,Shanghai 201109,China;Beijing Institute of Tracking and Telecommunicatins Technology,Beijing 100094,China)
出处 《中国空间科学技术》 CSCD 北大核心 2021年第6期1-16,共16页 Chinese Space Science and Technology
基金 国家自然科学基金(11972182,U20B2056) 上海市人工智能专项(19511120900) 基础科研项目(JCKY2018203B036)。
关键词 非合作目标 航天器智能 智能感知 在轨服务 位姿估计 部位识别 non-cooperative target spacecraft intelligence intelligent perception on-orbit services pose estimation component recognition
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