| 书目名称 | Intelligent Autonomous Drones with Cognitive Deep Learning | | 副标题 | Build AI-Enabled Lan | | 编辑 | David Allen Blubaugh,Steven D. Harbour,Michael J. | | 视频video | | | 概述 | Develop your own AI enabled drone, understanding the software and hardware requirements.Model the behavior of the designed AI-drone within multiple simulation environments such as VREP, Gazebo,‘and Ai | | 图书封面 |  | | 描述 | 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 wi | | 出版日期 | Book 2022 | | 关键词 | Sensors; Inertial Measurement Unit; IMU; Sense Detect and Avoid; SDaA; Insurance considerations for an AI | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-6803-2 | | isbn_softcover | 978-1-4842-6802-5 | | isbn_ebook | 978-1-4842-6803-2 | | copyright | David Allen Blubaugh, Steven D. Harbour, Benjamin Sears, Michael J. Findler 2022 |
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发表于 2025-3-21 19:54:39
