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lgli/Shaoshan Liu, Liyun Li, Jie Tang, Shuang Wu & Jean-Luc Gaudiot - Creating Autonomous Vehicle Systems, Second Edition (2020, Morgan & Claypool Publishers).epub
Creating Autonomous Vehicle Systems, Second Edition 🔍
Shaoshan Liu; Liyun Li, (Computer scientist); Jie Tang, (College teacher); Shuang Wu, (Research scientist); Jean-Luc Gaudiot Morgan & Claypool Publishers, Springer Nature, [N.p.], 2020
英语 [en] · EPUB · 11.5MB · 2020 · 📘 非小说类图书 · 🚀/lgli/zlib · Save
描述
"This book is one of the first technical overviews of autonomous vehicles written for a general computing and engineering audience. The authors share their practical experiences designing autonomous vehicle systems. These systems are complex, consisting of three major subsystems: (1) algorithms for localization, perception, and planning and control; (2) client systems, such as the robotics operating system and hardware platform; and (3) the cloud platform, which includes data storage, simulation, high-definition (HD) mapping, and deep learning model training. The algorithm subsystem extracts meaningful information from sensor raw data to understand its environment and make decisions as to its future actions. The client subsystem integrates these algorithms to meet real-time and reliability requirements. The cloud platform provides offline computing and storage capabilities for autonomous vehicles. Using the cloud platform, new algorithms can be tested so as to update the HD map--in addition to training better recognition, tracking, and decision models. Since the first edition of this book was released, many universities have adopted it in their autonomous driving classes, and the authors received many helpful comments and feedback from readers. Based on this, the second edition was improved by extending and rewriting multiple chapters and adding two commercial test case studies. In addition, a new section entitled "Teaching and Learning from this Book" was added to help instructors better utilize this book in their classes. The second edition captures the latest advances in autonomous driving and that it also presents usable real-world case studies to help readers better understand how to utilize their lessons in commercial autonomous driving projects. This book should be useful to students, researchers, and practitioners alike. Whether you are an undergraduate or a graduate student interested in autonomous driving, you will find herein a comprehensive overview of the whole autonomous vehicle technology stack. If you are an autonomous driving practitioner, the many practical techniques introduced in this book will be of interest to you. Researchers will also find extensive references for an effective, deeper exploration of the various technologies." --Descripción del editor
备用文件名
zlib/no-category/Shaoshan Liu, Liyun Li, Jie Tang, Shuang Wu & Jean-Luc Gaudiot/Creating Autonomous Vehicle Systems, Second Edition_13953252.epub
备选标题
Creating Autonomous Vehicle Systems (Synthesis Lectures on Computer Science)
备选标题
Разработка беспилотных транспортных средств
备选作者
Шаошань Лю, Лиюнь Ли, Цзе Тан [и др.]; перевод с английского П. М. Бомбаковой
备选作者
Shaoshan Liu; Liyun Li; Jie Tang; Shuang Wu; Jean-Luc Gaudiot; et al
备选作者
Liu, Shaoshan, Li, Liyun, Tang, Jie, Wu, Shuang, Gaudiot, Jean-Luc
备选作者
Лю, Шаошань, Ли, Лиюнь, Тан, Цзе
备用出版商
ДМК Пресс
备用出版商
Springer
备用版本
Synthesis lectures on computer science, Number 12, Second edition, Place of publication not identified, 2020
备用版本
Synthesis lectures on computer science, #12, Second edition, San Rafael, California, 2020
备用版本
Synthesis lectures on computer science, Second edition, Cham, Switzerland, 2020
备用版本
Synthesis lectures on computer science, #12, 2nd ed, San Rafael, CA, c2020
备用版本
United States, United States of America
备用版本
Москва, Russia, 2022
备用版本
2, 20200911
元数据中的注释
Предм. указ.: с. 244-245
Библиогр. в конце гл.
Пер.: Creating autonomous vehicle systems 978-1-68173-935-9
元数据中的注释
РГБ
元数据中的注释
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备用描述
<p> <b>This is one of the first technical overviews of autonomous vehicles written for a general computing and engineering audience</b>. Students will find a comprehensive overview of the entire autonomous technology stack and practitioners will find many practical techniques.</p> <p>Throughout the book, the authors share their practical experiences designing autonomous vehicle systems. These systems are complex, consisting of three major subsystems: (1) algorithms for localization, perception, and planning and control; (2) client systems, such as the robotics operating system and hardware platform; and (3) the cloud platform, which includes data storage, simulation, high-definition (HD) mapping, and deep learning model training. The algorithm subsystem extracts meaningful information from sensor raw data to understand its environment and make decisions as to its future actions. The client subsystem integrates these algorithms to meet real-time and reliability requirements. The cloud platform provides offline computing and storage capabilities for autonomous vehicles. Using the cloud platform, new algorithms can be tested so as to update the HD map—in addition to training better recognition, tracking, and decision models.</p> <p>Since the first edition of this book was released, many universities have adopted it in their autonomous driving classes, and the authors received many helpful comments and feedback from readers. Based on this, the second edition was improved by extending and rewriting multiple chapters and adding two commercial test case studies. In addition, a new section entitled “Teaching and Learning from this Book” was added to help instructors better utilize this book in their classes. The second edition captures the latest advances in autonomous driving and that it also presents usable real-world case studies to help readers better understand how to utilize their lessons in commercial autonomous driving projects.</p>
开源日期
2021-05-16
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