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Computing Systems for Autonomous Driving / by Weisong Shi, Liangkai Liu.
- Format:
- Book
- Author/Creator:
- Shi, Weisong, Author.
- Liu, Liangkai., Author.
- Series:
- Computer Science (SpringerNature-11645)
- Language:
- English
- Subjects (All):
- Multiagent systems.
- Cooperating objects (Computer systems).
- Computer networks.
- Automation.
- Transportation engineering.
- Traffic engineering.
- Multiagent Systems.
- Cyber-Physical Systems.
- Computer Communication Networks.
- Transportation Technology and Traffic Engineering.
- Local Subjects:
- Multiagent Systems.
- Cyber-Physical Systems.
- Computer Communication Networks.
- Automation.
- Transportation Technology and Traffic Engineering.
- Physical Description:
- 1 online resource (XII, 232 pages) : 70 illustrations, 62 illustrations in color.
- Edition:
- 1st ed. 2021.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2021.
- System Details:
- text file PDF
- Summary:
- 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.
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-81564-6
- 9783030815646
- Access Restriction:
- Restricted for use by site license.
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