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Intelligent Autonomous Drones with Cognitive Deep Learning: Build Ai-Enabled Land Drones with the Raspberry Pi 4 - David Allen Blubaugh - David Allen Blubaugh


Intelligent Autonomous Drones with Cognitive Deep Learning: Build Ai-Enabled Land Drones with the Raspberry Pi 4 - David Allen Blubaugh
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(27-09-2024)
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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.
As far as the technical requirements are concerned, they must have an intermediate understanding of object-oriented programming and design..
They should have a willingness to explore exciting engineering projects that are limited only by their imagination.
The target readers have the willingness to learn and extend the topic of Intelligent Autonomous drones.
What You\'ll Learn Examine the necessary specifications and requirements for AI enabled Drones for near-real time and near fully Autonomous Drones Look at software and hardware requirements Understand unified modeling language (UML) and real-time UML for design Study Deep learning neural networks for pattern recognition Review geo-spatial Information for the development of detailed mission planning within these hostile environments Who This Book Is For Primarily for engineers, computer science graduate students, or even a skilled hobbyist.
Intelligent Autonomous Drones with Cognitive Deep Learning uniquely addresses both Deep learning and Cognitive Deep learning for developing near Autonomous drones.
Ultimately, you\'ll be able to Build a complex system using the standards developed, and create other Intelligent systems of similar complexity and capability.
These multiple simulation environments will also allow you to further Build public trust in the safety of artificial intelligence within Drones and small UAS.
Using this approach you\'l be able to develop a fully Autonomous drone that incorporates object-oriented design and Cognitive Deep learning systems that adapts to multiple simulation environments.
This will serve as a reference model for the software architecture of unmanned systems.
The ROS architecture has been used to develop land-based drones.
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).
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


Uneori, aceste descrieri pot contine inadvertente. De asemenea, imaginea este informativa si poate contine accesorii neincluse in pachetele standard.
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