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行星着陆点自主评估与选取研究进展 被引量:7

Research progress of autonomous planetary landing site assessment and selection
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摘要 针对行星表面多样异构形貌对探测器着陆安全构成的潜在威胁,对行星着陆点自主评估与选取方法的最新研究进展进行了系统性回顾.首先总结了着陆点自主评估选取任务特点与面临的主要技术难题,介绍了着陆点选取涉及的关键要素以及"安全因子"法选取流程与应用.随后回顾了着陆点自主评估与选取方法研究进展,重点从障碍检测、地形安全性评估、着陆点综合选取三个方面对以往任务与理论研究成果进行了归纳梳理.最后结合未来行星探测任务智能化需求,对相关技术发展趋势提出了思考与建议. To address potential safety threats posed by various terrain conditions on the planetary surface,the recent development of autonomous planetary landing site assessment and selection methods is systematically reviewed in this paper.First,the mission characteristics and main technical challenges in landing site selection are summarized.Critical factors to be considered in landing site selection are introduced together with the selection process and applications of the Safety Index method.Then,an overview of the research progress of autonomous landing site assessment and selection methods is provided.Past missions and theoretical developments are analyzed from the aspects of hazard detection,terrain safety assessment,and comprehensive landing site selection.Lastly,based on the growing requirements of mission intelligence in future planetary exploration,several suggestions and recommendations with regard to landing site selection technology development trends are proposed.
作者 崔平远 葛丹桐 朱圣英 赵冬越 CUI PingYuan;GE DanTong;ZHU ShengYing;ZHAO DongYue(Institute of Deep Space Exploration,Beijing Institute of Technology,Beijing 100081,China;Key Laboratory of Autonomous Navigation and Control for Deep Space Exploration,Ministry of Industry and Information Technology,Beijing 100081,China;Key Laboratory of Dynamics and Control of Flight Vehicle,Ministry of Education,Beijing 100081,China)
出处 《中国科学:技术科学》 EI CSCD 北大核心 2021年第11期1315-1325,共11页 Scientia Sinica(Technologica)
基金 国家重点研发计划项目(编号:2019YFA0706500) 国家自然科学基金项目(批准号:61873302,61973032) 国防基础科研项目(编号:JCKY2018602B002,JCKY2019602D022) 民用航天预研项目和中国博士后科学基金项目(编号:2020M680388)资助。
关键词 行星探测 着陆点选取 障碍检测 自主规划 安全因子 planetary exploration landing site selection hazard detection autonomous planning safety index
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