
Emerging Deep Learning Applications of Short Range Radars
Artech House Publishers
Published on 30. September 2020
Book
Hardback
358 pages
978-1-63081-746-6 (ISBN)
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Description
This exciting new resource presents emerging applications of artificial intelligence and deep learning in short-range radar. The book covers applications ranging from industrial, consumer space to emerging automotive applications. The book presents several human-machine interface (HMI) 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), popular DCNN architectures for computer vision and their features are also introduced. The book presents other deep learning architectures, such as long-short term memory (LSTM), auto-encoders, variational auto-encoders (VAE), and generative adversarial networks (GAN). 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 weren't otherwise possible. It illustrates various advanced applications, their respective challenges, and how they are been addressed using different deep learning architectures and algorithms.
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), popular DCNN architectures for computer vision and their features are also introduced. The book presents other deep learning architectures, such as long-short term memory (LSTM), auto-encoders, variational auto-encoders (VAE), and generative adversarial networks (GAN). 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 weren't otherwise possible. It illustrates various advanced applications, their respective challenges, and how they are been addressed using different deep learning architectures and algorithms.
More details
Edition
Unabridged edition
Language
English
Place of publication
Norwood
United States
Target group
Professional and scholarly
Edition type
Unabridged edition
Dimensions
Height: 229 mm
Width: 152 mm
ISBN-13
978-1-63081-746-6 (9781630817466)
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Schweitzer Classification
Other editions
Additional editions

Avik Santra | Souvik Hazra
Deep Learning Applications of Short-Range Radars
E-Book
09/2020
1st Edition
Artech House
€230.99
Available for download
Content
Introduction to Short Range Radars; Vital Sensing & Occupancy Sensing; Material Classification; Gesture Sensing; Air Writing/Drawing; Human Activity Classification; People Counting and Tracking; Dooring & Street Lighting (Pedestrian/Bike/Car classification); Other Applications.