Here’s the full title, published by Apress: Intelligent Autonomous Drones Using Cognitive Deep Learning: Building an AI-Enabled Land Drone Using Raspberry Pi 4.
Basically, it’s intended for an almost fully autonomous, AI-enabled drone based on a Raspberry Pi 4 board. It aims to enable the development of “fully autonomous drones incorporating object-oriented design and cognitive deep learning systems that adapt to multiple simulation environments.”
Aimed at engineers, technical students, and seasoned hobbyists, it covers areas such as software and hardware requirements, real-time Unified Modeling Language (UML), and pattern recognition.
The publisher writes:
“What is an artificial intelligence (AI)-enabled drone and what can it do? Are AI-enabled drones better than human-controlled drones? It gives us the power to develop AI-enabled drones.”
“From a list of specifications and requirements, we proceed in small, iterative steps leading to the development of Unified Modeling Language (UML) diagrams, partly based on established standards for Robot Operating Systems (ROS). The ROS architecture has been used in the development of land-based drones, which serves as a reference model for the software architecture of unmanned systems.”
Also, when it comes to programming, a moderate understanding of object-oriented programming and design is recommended.
The book is not yet finished, but will be published on October 30, 2022.
author
Authors are David Allen Blubaugh, Michael J. Findler, Steven D. Harbor, and Benjamin Sears.
They specialize in applied engineering, embedded system development, AI, and drone management, respectively.
Find out more about this book here.
detail
Title: Intelligent Autonomous Drones with Cognitive Deep Learning: Building an AI-Enabled Land Drone with Raspberry Pi 4
authorBy: David Allen Blubaugh, Michael J. Findler, Steven D. Harbor, Benjamin Sears
the publisher: After
format: paper bag
page: 536
price: £39.99
ISBNs-13: 978-1484268025
date: October 2022
See also: The gadget masterbook library is further expanded
