Creating Autonomous Vehicle Systems
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…
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Produktdetails
Weitere Autoren: Li, Liyun / Tang, Jie / Wu, Shuang / Gaudiot, Jean-Luc
- ISBN: 978-1-68173-167-4
- EAN: 9781681731674
- Produktnummer: 25677706
- Verlag: Morgan & Claypool Publishers
- Sprache: Englisch
- Erscheinungsjahr: 2017
- Seitenangabe: 186 S.
- Plattform: EPUB
- Masse: 14'645 KB
- Auflage: 1. Auflage
Über den Autor
Dr. Shaoshan Liu is chairman and co-founder of PerceptIn. He attended UC Irvine for his undergraduate and graduate studies and obtained a Ph.D. in Computer Engineering in 2010. His research focuses on Computer Architecture, Big Data Platforms, Deep Learning Infrastructure, and Robotics. He has over eight years of industry experience: before founding PerceptIn, he was with Baidu USA, where he led the Autonomous Driving Systems team. Before joining Baidu USA, he worked on Big Data platforms at LinkedIn, Operating Systems kernel at Microsoft, Reconfigurable Computing at Microsoft Research, GPU Computing at INRIA (France), Runtime Systems at Intel Research, and Hardware at Broadcom.
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