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Intelligent Autonomous Drones with Cognitive Deep Learning
Build AI-Enabled Land Drones with the Raspberry Pi 4
Langbeschreibung
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.
Hauptbeschreibung
Develop your own AI enabled drone, understanding the software and hardware requirements
Inhaltsverzeichnis
Chapter 1. Rover Platform Overview. -Chapter 2. AI Rover System Design and Analysis.- Chapter 3. Installing Linux and Development Tools .- Chapter 4. Building a Simple Virtual Rover.- Chapter 5. Adding Sensors to Our Simulation.- Chapter 6. Sense and Avoidance.- Chapter 7. Navigation, SLAM, and Goals.- Chapter 8. OpenCV and Perception.- Chapter 9. Reinforced Learning.- Chapter 10. Subsumption Cognitive Architecture.- Chapter 11. Geospatial Guidance for AI Rover.- Chapter 12. Noetic ROS Further Examined and Explained.- Chapter 13. Further Considerations.- Appendix A: Bayesian Deep Learning.- Appendix B: Open AI Gym.- Appendix: Introduction to the Future of AI-ML Research.
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.
ISBN-13:
9781484268025
Veröffentl:
2022
Erscheinungsdatum:
01.11.2022
Seiten:
528
Autor:
David Allen Blubaugh
Gewicht:
791 g
Format:
235x155x29 mm
Sprache:
Englisch
69,54 €*
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