Positioning and Navigation Using Machine Learning Methods (Navigation: Science and Technology, 14)

Positioning and Navigation Using Machine Learning Methods (Navigation: Science and Technology, 14)
by: Kegen Yu (Editor)
Publisher: Springer
Edition: 2024th
Publication Date: 2024/9/18
Language: English
Print Length: 384 pages
ISBN-10: 9819761980
ISBN-13: 9789819761982
Book Description
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.
About the Author
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. Read more