@inproceedings{1c8cb5faabea4c7789323b8f1e5f6da2,
title = "Spacecraft On-Orbit Servicing Summary of Mission Planning Research",
abstract = "The number of spacecrafts performing on-orbit missions has increased sharply because of the rapid development of the space industry, and the types of missions are diverse. In order to save fuel and time as much as possible during on-orbit service, the research on spacecraft service-oriented mission planning has become an international hot spot. This paper first introduces the connotation of on-orbit service mission planning, and then introduces the solution algorithm. In general, the study of spacecraft on-orbit service mission planning can provide theoretical support for engineering practice, and provide technical support for military observation, navigation planning, disaster prevention and control, land mapping and many other aspects.",
keywords = "Intelligent optimization algorithm, Machine learning, Mission planning, On-orbit servicing",
author = "Yabo Hao and Dandan Wang and Yucheng She and Yiqiang Zhen and Ming Xu and Xue Bai",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; 12th International Conference on Signal and Information Processing, Networking and Computers, ICSINC 2024 ; Conference date: 10-09-2024 Through 13-09-2024",
year = "2025",
doi = "10.1007/978-981-96-4967-9\_50",
language = "英语",
isbn = "9789819649662",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "403--412",
editor = "Jiaqi Zou and Gang Sun and Yue Wang and Lexi Xu",
booktitle = "Signal and Information Processing, Networking and Computers - Proceedings of the 12th International Conference on Signal and Information Processing, Networking and Computers, ICSINC 2024",
address = "德国",
}