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100%: Shaoshan Liu: Creating Autonomous Vehicle Systems (ISBN: 9781681739380) Morgan & Claypool Publishers, in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
100%: Jean-Luc Gaudiot, Jie Tang, Liyun Li, Shaoshan Liu, Shuang Wu: Creating Autonomous Vehicle Systems (ISBN: 9781681731674) 2017, in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
100%: Liu, Shaoshan, Li, Liyun, Tang, Jie: Creating Autonomous Vehicle Systems (Synthesis Lectures on Computer Science, Band 9) (ISBN: 9781681730073) Morgan and Claypool, in Englisch, Taschenbuch.Nur diese Ausgabe anzeigen…
100%: Shaoshan Liu; Liyun Li; Jie Tang; Shuang Wu; Jean-Luc Gaudiot: Creating Autonomous Vehicle Systems (Synthesis Lectures on Computer Science) (ISBN: 9781681732435) 2017, Morgan Claypool Publishers, United States, in Englisch, Broschiert.Nur diese Ausgabe anzeigen…
100%: Shaoshan Liu: Creating Autonomous Vehicle Systems (ISBN: 9781681739366) Morgan & Claypool Publishers, Erstausgabe, in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
63%: Liu, Shaoshan: Creating Autonomous Vehicle Systems (ISBN: 9781681739359) 2020, Morgan & Claypool, San Rafael, in Englisch, Taschenbuch.Nur diese Ausgabe anzeigen…
40%: Shaoshan Liu, LIYUN LI, Jie Tang: Creating Autonomous Vehicle Systems (Hardback) (ISBN: 9781681739373) 2020, Morgan & Claypool Publishers, United States, in Englisch, Broschiert.Nur diese Ausgabe anzeigen…
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Creating Autonomous Vehicle Systems
~EN NW EB DLISBN: 9781681739380 bzw. 1681739380, vermutlich in Englisch, Morgan & Claypool Publishers, neu, E-Book, elektronischer Download.
Creating Autonomous Vehicle Systems: 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. Englisch, Ebook.
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