Description
Book SynopsisWhat 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.
Using this approach you''ll be able to develop a fully autonomous drone that incorporates object-oriented design and cognitive deep learning systems that adapts to multiple simulation environments. These multiple simulation environments will also allow you to further build public trust
Table of Contents
Intelligent Autonomous Drones with Cognitive Deep Learning
Chapter 1. Defining the Required Goals, Specifications, and Requirements
Chapter 2. UML Systems for Reliable and Robust AI enabled Self-Driving Drones
Chapter 3. Setting Your Main Virtual Linux System
Chapter 4. Understanding Advanced Anaconda Concepts
Chapter 5. Understanding Drone-Kit for Testing and Programming your Self-Driving Drone
Chapter 6. Understanding, Maintaining, and Controlling the DRIVING Trajectory of the AI Rover Drone
Chapter 7. AI Enabled Rover Drone Vision with the Python OpenCV Library
Chapter 8. Your First Experience with Creating Drone Reinforcement Learning for Self-Driving and Exploring
Chapter 9. AI Enabled Rover Drones with Advanced Deep Learning
Chapter 10. Nature's other Secrets (Uncertainty, Bayesian Deep Learning, and Evolutionary Computing for Rovers)
Chapter 11. Building the Ultimate Cognitive Deep Learning Land-Rover Controller
Chapter 12. AI Drone Verification and Validation with Computer Simulations
Chapter 13. The Critical Need for Geo-Spatial Guidance for AI Rover Drones
Chapter 14. Statistics and Experimental Algorithms for Drone Enhancements
Chapter 15. The Robotic Operating System (ROS) Architecture for AI enabled Land-Based Rover Drones.
Chapter 16. Putting it all together and the Testing Required.
Chapter 17. “It’s Alive! It’s Alive!” (Facing Ones Very Own Creation)
Chapter 18. Your Creation can be your Best Friend or your Worst Nightmare.
