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Computing Systems for Autonomous Driving [electronic resource] /

By: Contributor(s): Material type: TextTextPublisher: Cham : Springer International Publishing : Imprint: Springer, 2021Edition: 1st ed. 2021Description: XII, 232 p. 70 illus., 62 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030815646
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006.30285436 23
LOC classification:
  • QA76.76.I58
Online resources:
Contents:
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.
In: Springer Nature eBookSummary: 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 foruniversity courses on autonomous vehicle technologies.
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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 foruniversity courses on autonomous vehicle technologies.

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