| 书目名称 | Computing Systems for Autonomous Driving | | 编辑 | Weisong Shi,Liangkai Liu | | 视频video | http://file.papertrans.cn/235/234756/234756.mp4 | | 概述 | Introduces promising new research topics in autonomous driving computing systems.Deals with the many remaining challenges to achieving full and safe autonomy.In addition to computing systems design, e | | 图书封面 |  | | 描述 | .This book on computing systems for autonomous driving takes a comprehensive look at the state-of-the-art computing technologies, including computing frameworks, algorithm deployment optimizations, systems runtime optimizations, dataset and benchmarking, simulators, hardware platforms, and smart infrastructures. The objectives of level 4 and level 5 autonomous driving require colossal improvement in the computing for this cyber-physical system. Beginning with a definition of computing systems for autonomous driving, this book introduces promising research topics and serves as a useful starting point for those interested in starting in the field. In addition to the current landscape, the authors examine the remaining open challenges to achieve L4/L5 autonomous driving. ..Computing Systems for Autonomous Driving. provides a good introduction for researchers and prospective practitioners in the field. The book can also serve as a useful reference for university courses on autonomous vehicle technologies.This book on computing systems for autonomous driving takes a comprehensive look at the state-of-the-art computing technologies, including computing frameworks, algorithm deployment op | | 出版日期 | Book 2021 | | 关键词 | Autonomous driving; cyber-physical systems; Autonomous agents; machine learning; real-time systems; Open | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-81564-6 | | isbn_softcover | 978-3-030-81566-0 | | isbn_ebook | 978-3-030-81564-6 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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