{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T09:21:27Z","timestamp":1766049687908,"version":"build-2065373602"},"reference-count":29,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T00:00:00Z","timestamp":1624233600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Key Program of the Natural Science Foundation of China","award":["51935005"],"award-info":[{"award-number":["51935005"]}]},{"name":"Basic Research Program","award":["JCKY20200603C010"],"award-info":[{"award-number":["JCKY20200603C010"]}]},{"name":"Science and Technology on Space Intelligent Control Laboratory","award":["ZDSYS-2018-02"],"award-info":[{"award-number":["ZDSYS-2018-02"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>In view of the characteristics of the guidance, navigation and control (GNC) system of the lunar orbit rendezvous and docking (RVD), we design an auxiliary safety prediction system based on the human\u2013machine collaboration framework. The system contains two parts, including the construction of the rendezvous and docking safety rule knowledge base by the use of machine learning methods, and the prediction of safety by the use of the base. First, in the ground semi-physical simulation test environment, feature extraction and matching are performed on the images taken by the navigation surveillance camera. Then, the matched features and the rendezvous and docking deviation are used to form training sample pairs, which are further used to construct the safety rule knowledge base by using the decision tree method. Finally, the safety rule knowledge base is used to predict the safety of the subsequent process of the rendezvous and docking based on the current images taken by the surveillance camera, and the probability of success is obtained. Semi-physical experiments on the ground show that the system can improve the level of intelligence in the flight control process and effectively assist ground flight controllers in data monitoring and mission decision-making.<\/jats:p>","DOI":"10.3390\/a14060188","type":"journal-article","created":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T04:21:21Z","timestamp":1624249281000},"page":"188","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["A Safety Prediction System for Lunar Orbit Rendezvous and Docking Mission"],"prefix":"10.3390","volume":"14","author":[{"given":"Dan","family":"Yu","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China"},{"name":"Beijing Institute of Control Engineering, Beijing 100190, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dezhi","family":"Qiao","sequence":"additional","affiliation":[{"name":"Beijing Institute of Control Engineering, Beijing 100190, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xianglong","family":"Tang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,6,21]]},"reference":[{"key":"ref_1","first-page":"8","article-title":"Comparative Study of Chinese and Foreign Rendezvous and Docking Technologies","volume":"22","author":"Zhu","year":"2013","journal-title":"Spacecr. 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