Can I read A Scalable Framework for Indoor Localization Using Convolutional Neural Networks on EtoBox?

A Scalable Framework for Indoor Localization Using Convolutional Neural Networks by Saideep Tiku; Ayush Mittal; Sudeep Pasricha is a book available to read on EtoBox.

What is A Scalable Framework for Indoor Localization Using Convolutional Neural Networks about?

While GPS is the de-facto solution for outdoor positioning with a clear sky view, there is no prevailing technology for GPS-deprived areas, including dense city centers, urban canyons, buildings and other covered structures, and subterranean facilities such as underground mines, where GPS signals are severely attenuated or totally blocked. As an alternative to GPS for the outdoors, indoor localization using machine learning is an emerging embedded and Internet of Things (IoT) application domain that is poised to reinvent the way we navigate in various indoor environments. This book discusses advances in the applications of machine learning that enable the localization and navigation of humans, robots, and vehicles in GPS-deficient environments. The book explores key challenges in the domain, such as mobile device resource limitations, device heterogeneity, environmental uncertainties, wireless signal variations, and security vulnerabilities. Countering these challenges can improve theaccuracy, reliability, predictability, and energy-efficiency of indoor localization and navigation. The book identifies severalnovel energy-efficient, real-time, and robust indoor localization techniqu

Author

Saideep Tiku; Ayush Mittal; Sudeep Pasricha

Publisher

Springer International Publishing AG

Published

2023

Language

EN

ISBN

9783031267123

Subjects

Technology, Computer Science, Engineering