Intelligent Autonomous Drones with Cognitive Deep Learning: Build AI-Enabled Land Drones with the Raspberry Pi 4

Book Description

What is an artificial intelli欧米茄gence (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, whi罗杰杜彼ch 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 (宝诗龙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 ob迪奥 (1)ject-oriented design and cognitive deep learning systems that adapts碧欧泉 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庞巴迪.

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 d碧欧泉esign
• 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 hav宾利e an intermediate understanding of object-oriented programming and design.

中文：

书名：具有认知深度学习的智能自主无人机: 使用覆盆子Pi 4构建支持人工智能的陆地无人机

什么是人工智能 (AI) 支持的无人机，它能做什么？人工智能无人机比人工控制无人机更好吗？这本书将回答这些问题和更多，并授权你开发自己的人工智能无人机。

您将从规范和要求列表中取得进展，在小的和迭代的步骤，这将导致开发统一建模语言 (UML) 图，部分基于由机器人操作系统 (ROS) 建立的标准。ROS架构已用于开发陆基无人机。这将作为无人系统软件体系结构的参考模型。

使用这种方法，您将能够开发一种完全自主的无人机，该无人机结合了面向对象的设计和适应多种仿真环境的认知深度学习系统。这些多种模拟环境还将使您能够进一步建立公众对无人机和小型无人机系统中人工智能安全性的信任。最终，您将能够使用开发的标准构建复杂的系统，并创建具有类似复杂性和功能的其他智能系统。

智能自主无人机的认知深度学习独特地解决了深度学习和认知深度学习的问题，以开发近自主无人机。

什么你会学到

• 检查必要的规格和要求的人工智能无人机近实时和近完全自主的无人机
• 看软硬件需求
• 了解统一建模语言 (UML) 和实时UML设计
• 深度学习神经网络模式识别研究
• 审查地理空间信息，以便在这些恶劣环境中制定详戴森细的任务规划

这本书是为谁准备的

主要为工程师，计算机科学研究生，甚至是熟练的业余爱好者。目标读者愿意学习并扩展智能自主无人机的主题。他们应该愿意探索仅受其想象力限制的激动人心的工程项目。就技术要求而言，他们必须对面向对象的编程和设计有中间的理解。