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 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.

Weitere Produkte vom selben Autor

Download
PDF
Download
PDF
Wireless Positioning: Principles and Practice Ian Sharp, Kegen Yu

171,19 €*
Download
PDF
Ground-Based Wireless Positioning Kegen Yu, Ian Sharp, Y Jay Guo

98,99 €*