Published by Apress, it’s full title is: Intelligent Autonomous Drones with Cognitive Deep Learning: Build AI-Enabled Land Drones with the Raspberry Pi 4.
Basically, it covers near fully autonomous, AI enabled drones, based around the Raspberry Pi 4 board. It aims to enable you to develop “a fully autonomous drone that incorporates object-oriented design and cognitive deep learning systems that adapts to multiple simulation environments”.
Targeted at engineers, technology students and skilled hobbyists, it covers areas such as software and hardware requirements, real-time unified modelling language (UML) and pattern recognition…
The publishers write:
“What is an artificial intelligence (AI)-enabled drone and what can it do? Are AI-enabled drones better than human-controlled drones? This book will answer these questions and more, and empower you to develop your own AI-enabled drone.”
“You’ll progress from a list of specifications and requirements, in small and iterative steps, which will then lead to the development of Unified Modeling Language (UML) diagrams based in part to the standards established by for the Robotic Operating System (ROS). The ROS architecture has been used to develop land-based drones. This will serve as a reference model for the software architecture of unmanned systems.”
It is also suggested, for the programming side of things, that you have “intermediate understanding of object-oriented programming and design”.
Note that the book is not quite out yet, but is due to be published 30 October 2022.
Author
The authors are David Allen Blubaugh, Michael J. Findler, Steven D. Harbour and Benjamin Sears.
They specialise, respectively, in applied engineering, embedded systems development, AI and drone management.
You can read more about the book here.
Details
Title: Intelligent Autonomous Drones with Cognitive Deep Learning: Build AI-Enabled Land Drones with the Raspberry Pi 4
Author: David Allen Blubaugh, Michael J. Findler, Steven D. Harbour and Benjamin Sears
Publisher: Apres
Format: Paperback
Pages: 536
Price: £39.99
ISBN-13: 978-1484268025
Date: October 2022
