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Full Product Details

Author:   David Allen Blubaugh ,  Steven D. Harbour ,  Benjamin Sears ,  Michael J. Findler
Publisher:   APress
Imprint:   APress
Edition:   1st ed.
Weight:   0.801kg
ISBN:  

9781484268025

ISBN 10:   1484268024
Pages:   511
Publication Date:   01 November 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

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.

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Author Information

Dr. Stephen Harbour is an experienced technical adviser skilled in artificial intelligence, cognitive engineering, proposal writing, technical writing, research, and command. Harbour is a strong program and project management professional with a Doctor of Philosophy (PhD) focused in Cognitive Science from Northcentral University and teaches at the University of Dayton. Benjamin Sears has an in-depth understanding of the theory behind drone missions and crew resource management. He also has applied experience as an actual drone pilot/operator who conducted missions as a civilian contractor in both Iraq and Afghanistan areas of operation. Michael J. Findler is a computer science instructor at Wright State University with experience in working in embedded systems development projects. Mike Findler also has developed and worked on various different fields within the universe of artificial intelligence and will no doubt serve as an excellent source of information during the development of the fore-mentioned manuscript on applications of Cognitive Deep Learning for Autonomous Drones and Drone Missions. David Allen Blubaugh has a decade of experience in applied engineering projects, embedded systems, design, computer science, and computer engineering.

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