Deep Learning Applications of Short Range Radars
Avik Santra and Souvik Hazra
This exciting new resource presents emerging applications of artificial intelligence and deep learning on short-range radar. The book covers applications ranging from industrial, consumer space to emerging automotive applications. The book presents several human-machine interface applications, such as gesture recognition and sensing, human activity classification, air-writing, material classification, vital sensing, people sensing, people counting, people localization and in-cabin automotive occupancy and smart trunk opening.
The underpinnings of deep learning are explored, outlining the history of neural networks and the optimization algorithms to train them. Modern deep convolutional neural network (DCNN) architectures for computer vision and their features are also introduced. The book presents other deep learning architectures, such as long-short term memory, auto-encoders, variational auto-encoders and generative adversarial networks. The application of human activity recognition as well as the application of air-writing using a network of short-range radars are outlined. This book demonstrates and highlights how deep learning is enabling several advanced industrial, consumer and in-cabin applications of short-range radars, which were not otherwise possible. It illustrates various advanced applications, their respective challenges and how they are being addressed using different deep learning architectures and algorithms.
To order this book, contact:
Artech House
www.artechhouse.com
Email: artech@artechhouse.com
US 800-225-9977
UK +44 (0)20 70596 8750
ISBN: 978-1-63081-746-6
358 pages
$179
£155
https://us.artechhouse.com/
Deep-Learning-Applications-of-Short-Range-Radars-P2145.aspx
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