| 書目名稱 | Positioning and Navigation Using Machine Learning Methods |
| 編輯 | Kegen Yu |
| 視頻video | http://file.papertrans.cn/752/751810/751810.mp4 |
| 概述 | Provides a comprehensive treatment of theory and practice of positioning and navigation based on machine learning.Exploits a range of machine learning methods for positioning and navigation.Considers |
| 叢書名稱 | Navigation: Science and Technology |
| 圖書封面 |  |
| 描述 | .This is the first book completely dedicated to positioning and navigation using machine learning methods. It deals with ground, aerial, and space positioning and navigation for pedestrians, vehicles, UAVs, and LEO satellites. Most of the major machine learning methods are utilized, including supervised learning, unsupervised learning, deep learning, and reinforcement learning. The book presents both fundamentals and in-depth studies as well as practical examples in positioning and navigation. Extensive data processing and experimental results are provided in the major chapters through conducting experimental campaigns or using in-situ measurements.. |
| 出版日期 | Book 2024 |
| 關(guān)鍵詞 | Positioning and navigation; Machine learning; deep learning; reinforcement learning; distributed learnin |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-97-6199-9 |
| isbn_softcover | 978-981-97-6201-9 |
| isbn_ebook | 978-981-97-6199-9Series ISSN 2522-0454 Series E-ISSN 2522-0462 |
| issn_series | 2522-0454 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
|Archiver|手機(jī)版|小黑屋|
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