Positioning and Navigation Using Machine Learning Methods

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 supervi...

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書目詳細資料
企業作者: SpringerLink (Online service)
其他作者: Yu, Kegen (Editor)
格式: 電子 電子書
語言:英语
出版: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
版:1st ed. 2024.
叢編:Navigation: Science and Technology, 14
主題:
在線閱讀:https://doi.org/10.1007/978-981-97-6199-9
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實物特徵
總結: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.
實物描述:X, 374 p. 187 illus., 153 illus. in color. online resource.
ISBN:9789819761999
ISSN:2522-0462 ;
DOI:10.1007/978-981-97-6199-9