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Computing systems for autonomous driving

Liu, Liangkai.

Computing systems for autonomous driving

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computing systems for autonomous drivingby Weisong Shi, Liangkai Liu.
Author:	Shi, Weisong.
other author:	Liu, Liangkai.
Published:	Cham :Springer International Publishing :2021.
Description:	xii, 232 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Automated vehicles.
Online resource:	https://doi.org/10.1007/978-3-030-81564-6
ISBN:	9783030815646$q(electronic bk.)

Computing systems for autonomous driving
Shi, Weisong.

Computing systems for autonomous driving[electronic resource] /by Weisong Shi, Liangkai Liu. - Cham :Springer International Publishing :2021. - xii, 232 p. :ill., digital ;24 cm.

Autonomous Driving Landscape -- Computing Framework for Autonomous Driving -- Algorithm Deployment Optimization -- Systems Runtime Optimization -- Dataset and Benchmark -- Autonomous Driving Simulators -- Hardware Platforms -- Smart Infrastructure for Autonomous Driving -- Challenges and Open Problems.

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.

ISBN: 9783030815646$q(electronic bk.)

Standard No.: 10.1007/978-3-030-81564-6doiSubjects--Topical Terms:

849313
Automated vehicles.

LC Class. No.: TL152.8 / .S45 2021

Dewey Class. No.: 629.046

Computing systems for autonomous driving
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245 1 0 $a Computing systems for autonomous driving $h [electronic resource] / $c by Weisong Shi, Liangkai Liu.
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300 $a xii, 232 p. : $b ill., digital ; $c 24 cm.
505 0 $a Autonomous Driving Landscape -- Computing Framework for Autonomous Driving -- Algorithm Deployment Optimization -- Systems Runtime Optimization -- Dataset and Benchmark -- Autonomous Driving Simulators -- Hardware Platforms -- Smart Infrastructure for Autonomous Driving -- Challenges and Open Problems.
520 $a 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.
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