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001450902 001__ 1450902
001450902 003__ OCoLC
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001450902 019__ $$a1350688000
001450902 020__ $$a9781484268032$$qelectronic book
001450902 020__ $$a1484268032$$qelectronic book
001450902 020__ $$z1484268024
001450902 020__ $$z9781484268025
001450902 0247_ $$a10.1007/978-1-4842-6803-2$$2doi
001450902 035__ $$aSP(OCoLC)1349567952
001450902 040__ $$aYDX$$beng$$erda$$cYDX$$dORMDA$$dGW5XE$$dEBLCP$$dOCLCF$$dYDXIT$$dUKAHL$$dOCLCQ
001450902 049__ $$aISEA
001450902 050_4 $$aTJ211.495$$b.B58 2022
001450902 08204 $$a629.8/92$$223/eng/20221108
001450902 1001_ $$aBlubaugh, David Allen.
001450902 24510 $$aIntelligent autonomous drones with cognitive deep learning :$$bbuild AI-enabled land drones with the Raspberry Pi 4 /$$cDavid Allen Blubaugh, Steven D. Harbour, Benjamin Sears, Michael J. Findler.
001450902 264_1 $$aNew York :$$bApress,$$c[2022]
001450902 300__ $$a1 online resource
001450902 336__ $$atext$$btxt$$2rdacontent
001450902 337__ $$acomputer$$bc$$2rdamedia
001450902 338__ $$aonline resource$$bcr$$2rdacarrier
001450902 5050_ $$aChapter 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.
001450902 506__ $$aAccess limited to authorized users.
001450902 520__ $$aWhat 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'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. 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.
001450902 588__ $$aDescription based on online resource; title from digital title page (viewed on December 09, 2022).
001450902 650_0 $$aAutonomous robots.
001450902 650_0 $$aDrone aircraft.
001450902 650_0 $$aMobile robots$$xAutomatic control.
001450902 650_0 $$aArtificial intelligence.
001450902 650_0 $$aRaspberry Pi (Computer)
001450902 655_0 $$aElectronic books.
001450902 7001_ $$aHarbour, Steven D.
001450902 7001_ $$aSears, Benjamin.
001450902 7001_ $$aFindler, Michael J.
001450902 77608 $$iPrint version:$$z1484268024$$z9781484268025$$w(OCoLC)1223067618
001450902 852__ $$bebk
001450902 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-1-4842-6803-2$$zOnline Access$$91397441.1
001450902 909CO $$ooai:library.usi.edu:1450902$$pGLOBAL_SET
001450902 980__ $$aBIB
001450902 980__ $$aEBOOK
001450902 982__ $$aEbook
001450902 983__ $$aOnline
001450902 994__ $$a92$$bISE