[PDF] Intelligent Autonomous Drones With Cognitive Deep Learning eBook

Author : David Allen Blubaugh
Publisher : Apress
Page : 0 pages
File Size : 28,19 MB
Release : 2022-11-01
Category : Computers
ISBN : 9781484268025

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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. 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 in the safety of artificial intelligence within drones and small UAS. Ultimately, you'll be able to build a complex system using the standards developed, and create other intelligent systems of similar complexity and capability. Intelligent Autonomous Drones with Cognitive Deep Learning uniquely addresses both deep learning and cognitive deep learning for developing near 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. 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.

Author : Fouad Sabry
Publisher : One Billion Knowledgeable
Page : 355 pages
File Size : 35,51 MB
Release : 2021-04-10
Category : Technology & Engineering
ISBN : 1005920087

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What Is Autonomous Drone An autonomous drone can conduct a safe flight without the intervention of a pilot. It does so with the help of artificial intelligence, and many other emerging technologies, enabling it to cope with all kinds of unforeseen and unpredictable emergency situations. How You Will Benefit - Answering the public top 100 questions about autonomous drones with insight, validation, and creativity. - Real world examples for the usage of drones in 38 industries and 21 corporations. - Glossary with 187 terms serves as a complete list of essential drone terms for pilots, professionals, and enthusiasts. - 17 appendices to briefly explain 266 emerging technology in each industry to have 360-degree full understanding of drones’ technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of drone.

Author : Sachi Nandan Mohanty
Publisher : John Wiley & Sons
Page : 468 pages
File Size : 17,62 MB
Release : 2023-06-20
Category : Technology & Engineering
ISBN : 1394166532

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DRONE TECHNOLOGY This book provides a holistic and valuable insight into the revolutionary world of unmanned aerial vehicles (UAV). The book elucidates the revolutionary and riveting research in the ultramodern domain of drone technologies, drone-enabled IoT applications, and artificial intelligence-based smart surveillance. The book explains the most recent developments in the field, challenges, and future scope of drone technologies. Beyond that, it discusses the importance of a wide range of design applications, drone/UAV development, and drone-enabled smart healthcare systems for smart cities. It describes pioneering work on mitigating cyber security threats by employing intelligent machine learning models in the designing of IoT-aided drones. The book also has a fascinating chapter on application intrusion detection by drones using recurrent neural networks. Other chapters address interdisciplinary fields like artificial intelligence, deep learning, the role of drones in healthcare in smart cities, and the importance of drone technology in agriculture. Audience The book will be read and consulted by a range of industry engineers involved with introducing drone technology to their daily operations.

Author : Yasmina Bestaoui Sebbane
Publisher : CRC Press
Page : 421 pages
File Size : 33,67 MB
Release : 2018-03-14
Category : Computers
ISBN : 1351339400

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Intelligent Autonomy of UAVs: Advanced Missions and Future Use provides an approach to the formulation of the fundamental task typical to any mission and provides guidelines of how this task can be solved by different generic robotic problems. As such, this book aims to provide a systems engineering approach to UAV projects, discovering the real problems that need to be resolved independently of the application. After an introduction to the rapidly evolving field of aerial robotics, the book presents topics such as autonomy, mission analysis, human-UAV teams, homogeneous and heterogeneous UAV teams, and finally, UAV-UGV teams. It then covers generic robotic problems such as orienteering and coverage. The book next introduces deployment, patrolling, and foraging, while the last part of the book tackles an important application: aerial search, tracking, and surveillance. This book is meant for both scientists and practitioners. For practitioners, it presents existing solutions that are categorized according to various missions: surveillance and reconnaissance, 3D mapping, urban monitoring, precision agriculture, forestry, disaster assessment and monitoring, security, industrial plant inspection, etc. For scientists, it provides an overview of generic robotic problems such as coverage and orienteering; deployment, patrolling and foraging; search, tracking, and surveillance. The design and analysis of algorithms raise a unique combination of questions from many fields, including robotics, operational research, control theory, and computer science.

Author : Gaius Chiinaza
Publisher : Independently Published
Page : 0 pages
File Size : 32,19 MB
Release : 2024-07-19
Category : Computers
ISBN :

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Sky AI: The Drone Revolution Discover the future of technology with "Sky AI: The Drone Revolution," a groundbreaking exploration of how artificial intelligence is transforming autonomous drones. This comprehensive guide delves into the revolutionary advancements that are reshaping the skies and the way we interact with technology. In this meticulously researched and engaging book, you'll uncover how AI-driven drones are redefining industries, from agriculture and logistics to surveillance and disaster response. Each chapter provides an in-depth look at the integration of AI with drone technology, offering readers a thorough understanding of both theoretical concepts and practical applications. Key Highlights: Exploration of AI Technology: Understand the core principles of artificial intelligence and how they are applied to autonomous drones. Learn about the algorithms, sensors, and machine learning models that enable drones to perform complex tasks with precision and efficiency. Real-World Applications: Dive into a range of applications where autonomous drones are making a significant impact. From enhancing precision agriculture with real-time crop monitoring to revolutionizing logistics with efficient delivery systems, this book showcases how drones are transforming various sectors. Technical Insights: Gain a deep understanding of the technical challenges and solutions related to drone technology. Explore topics such as path planning algorithms, real-time decision-making, and sensor integration, providing you with valuable knowledge for both enthusiasts and professionals. Case Studies: Learn from real-world examples and case studies that illustrate the practical applications of autonomous drones. Discover how drones have been utilized in disaster response, infrastructure inspection, and live event coverage, showcasing their versatility and potential. Future Trends: Stay ahead of the curve with insights into the future of autonomous drones. Explore emerging technologies such as swarm robotics, advanced AI algorithms, and integration with 5G networks, and understand how these innovations will shape the next generation of drone technology. Ethical and Regulatory Considerations: Address important ethical and regulatory issues surrounding the use of autonomous drones. Understand the implications of privacy concerns, airspace regulations, and the ethical considerations of AI-driven decision-making. Why Read This Book? "Sky AI: The Drone Revolution" is essential reading for technology enthusiasts, industry professionals, and anyone interested in the intersection of artificial intelligence and autonomous systems. Whether you are a drone pilot, a researcher, or simply curious about the future of technology, this book provides valuable insights and practical knowledge that will enrich your understanding of this rapidly evolving field. With its clear explanations, detailed analysis, and engaging content, "Sky AI: The Drone Revolution" offers a comprehensive and accessible look at how AI is transforming the skies. Embrace the future of technology and discover how autonomous drones are paving the way for new possibilities in the world of innovation. Get ready to explore the limitless potential of autonomous drones with "Sky AI: The Drone Revolution" and be part of the next big leap in technology.

Author : Yaniv Altshuler
Publisher : Springer
Page : 242 pages
File Size : 19,35 MB
Release : 2017-08-03
Category : Technology & Engineering
ISBN : 3319636049

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This book offers a comprehensive analysis of the theory and tools needed for the development of an efficient and robust infrastructure for the design of collaborative patrolling unmanned aerial vehicle (UAV) swarms, focusing on its applications for tactical intelligence drones. It discusses frameworks for robustly and near-optimally analyzing flocks of semi-autonomous vehicles designed to efficiently perform the ongoing dynamic patrolling and scanning of pre-defined “search regions”. It discusses the theoretical limitations of such systems, as well as the trade-offs between the systems’ various economic and operational parameters. Current UAV systems rely mainly on human operators for the design and adaptation of drones’ flying routes. However, recent technological advances have introduced new systems, comprised of a small number of self-organizing vehicles, manually guided at the swarm level by a human operator. With the growing complexity of such man-supervised architectures, it is becoming increasingly harder to guarantee a pre-defined level of performance. The use of large scale swarms of UAVs as a combat and reconnaissance platform therefore necessitates the development of an efficient optimization mechanism of their utilization, specifically in the design and maintenance of their patrolling routes. The book is intended for researchers and engineers in the fields of swarms systems and autonomous drones.

Author : Arun Solanki
Publisher : CRC Press
Page : 451 pages
File Size : 37,30 MB
Release : 2022-11-03
Category : Computers
ISBN : 1000565068

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In recent years, drones have been integrated with the Internet of Things to offer a variety of exciting new applications. Here is a detailed exploration of adapting and implementing Internet of Drones technologies in real-world applications, emphasizing solutions to architectural challenges and providing a clear overview of standardization and regulation, implementation plans, and privacy concerns. The book discusses the architectures and protocols for drone communications, implementing and deploying of 5G-drone setups, security issues, deep learning techniques applied on real-time footage, and more. It also explores some of the varied applications, such as for monitoring and analysis of troposphere pollutants, providing services and communications in smart cities (such as for weather forecasting, communications, transport, safety and protection), for disaster relief management, for agricultural crop monitoring, and more.

Author : Hassan, Jahan
Publisher : IGI Global
Page : 425 pages
File Size : 25,14 MB
Release : 2024-01-17
Category : Computers
ISBN :

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Applications of Machine Learning in UAV Networks presents a pioneering exploration into the symbiotic relationship between machine learning techniques and UAVs. In an age where UAVs are revolutionizing sectors as diverse as agriculture, environmental preservation, security, and disaster response, this meticulously crafted volume offers an analysis of the manifold ways machine learning drives advancements in UAV network efficiency and efficacy. This book navigates through an expansive array of domains, each demarcating a pivotal application of machine learning in UAV networks. From the precision realm of agriculture and its dynamic role in yield prediction to the ecological sensitivity of biodiversity monitoring and habitat restoration, the contours of each domain are vividly etched. These explorations are not limited to the terrestrial sphere; rather, they extend to the pivotal aerial missions of wildlife conservation, forest fire monitoring, and security enhancement, where UAVs adorned with machine learning algorithms wield an instrumental role. Scholars and practitioners from fields as diverse as machine learning, UAV technology, robotics, and IoT networks will find themselves immersed in a confluence of interdisciplinary expertise. The book's pages cater equally to professionals entrenched in agriculture, environmental studies, disaster management, and beyond.

Author : Jung-Sup Um
Publisher : Springer
Page : 274 pages
File Size : 32,93 MB
Release : 2019-01-31
Category : Technology & Engineering
ISBN : 9811337411

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This book introduces the concept of using drones as a teaching tool to explore the fundamental principles, technology and applications of Cyber-Physical Systems (CPS). A short introduction sets CPS in the context of the 4th industrial revolution, and describes various CPS technologies including self-driving cars, commercial intelligent drones and mobile robots, in which artificial intelligence routinely supports smarter decision-making. The core of the book then focuses on commercially available drones, the only available system offering the advantage of cyber-physical bridging through 3D autonomous dynamic flying in classroom conditions. Chapters describe drone technology, including location sensors and imaging systems. CPS theory is explained through typical drone flying procedures and do-it-yourself (DIY) aerial photography in which communication between sensors, actuators and controllers occurs through cyber-physical bi-directional bridging. This book opens new possibilities in fostering 4th industrial revolution literacy, introducing relevant examples from readily available equipment, making core elements of cyber-physical bridging accessible. It is aimed primarily at those students who have an interest in CPS, drones and those from disciplines that are concerned with spatial information.

Author : Antonio Loquercio
Publisher : Springer Nature
Page : 69 pages
File Size : 47,12 MB
Release : 2023-04-24
Category : Technology & Engineering
ISBN : 3031272889

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This book presents the astonishing potential of deep sensorimotor policies for agile vision-based quadrotor flight. Quadrotors are among the most agile and dynamic machines ever created. However, developing fully autonomous quadrotors that can approach or even outperform the agility of birds or human drone pilots with only onboard sensing and computing is challenging and still unsolved. Deep sensorimotor policies, generally trained in simulation, enable autonomous quadrotors to fly faster and more agile than what was possible before. While humans and birds still have the advantage over drones, the author shows the current research gaps and discusses possible future solutions.