| 书目名称 | Creating Autonomous Vehicle Systems | | 编辑 | Shaoshan Liu,Liyun Li,Jean-Luc Gaudiot | | 视频video | http://file.papertrans.cn/240/239343/239343.mp4 | | 丛书名称 | Synthesis Lectures on Computer Science | | 图书封面 |  | | 描述 | This book is the first technical overview of autonomous vehicles written for a general computing and engineering audience. The authors share their practical experiences of creating 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 about its 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, we are able to test new algorithms and update the HD map—plus, train better recognition, tracking, and decision models.This book consists of nine chapters. Chapter 1 provides an overview of autonomous vehicle systems; Chapter 2 focuses on localization technologies; Chapter 3 d | | 出版日期 | Book 2018 | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-01802-2 | | isbn_ebook | 978-3-031-01802-2Series ISSN 1932-1228 Series E-ISSN 1932-1686 | | issn_series | 1932-1228 | | copyright | Springer Nature Switzerland AG 2018 |
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