What is an AI enabled drone and what can it do? Are AI enabled drones better than human-controlled drones? These are the types of questions we’ll answer in this book as well as developing your own AI enabled drone.The book allows the reader to successfully progress from a list of specifications and requirements, in small and iterative steps, which then leads 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 also serve as a reference model for the software architecture of unmanned systems. This approach allows us to develop a fully autonomous drones that incorporates object-oriented design and cognitive deep learning systems that adapts to multiple simulation environments. These multiple simulation environments will allow us to further build public trust in the safety of artificial intelligence within drones and small UAS.This book uniquely addresses both deep learning and cognitive deep learning for developing near autonomous drones. You’ll also learn how to build a complex system using the standards developed, thus, giving the reader the confidence to develop other intelligent systems of similar complexity and capability.What You’ll Learn: Who This Book Is For:This book is primarily for engineers, computer science graduate students, or even a skilled hobbyist. The target readers have the willingness to learn and extend the topic of intelligent autonomous drones. They should have a willingness to explore exciting engineering projects that are limited only by their imagination. As far as the technical requirements are concerned, they must have an intermediate understanding of object-oriented programming and design. weiterlesen