Computing Systems for Autonomous Driving
Language: English
Published by Springer International Publishing Nov 2021, 2021
- Hardcover
- New
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
AbeBooks seller since January 11, 2012
Condition: New
£ 121.22
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Add to basketItem description from seller
This item is printed on demand - it takes 3-4 days longer - Neuware -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.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 Drivingprovides 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. 244 pp. Englisch.…
Seller Inventory # 9783030815639
- Title
- Computing Systems for Autonomous Driving
- Author
- Liangkai Liu
- Publisher
- Springer International Publishing Nov 2021
- Publication year
- 2021
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 3030815633
- ISBN 13
- 9783030815639
- Item weight
- 535 grams
- Dimensions
- 241x160x19 mm
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.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.
"Synopsis" may belong to another edition of this title.
About the Author
Weisong Shi is a Professor of Computer Science with Wayne State University, where he leads the Wayne Mobility Initiative (WMI) and directs the Connected and Autonomous Driving Laboratory (CAR) investigating performance, reliability, power- and energy-efficiency, trust and privacy issues of computing systems for CAVs. He is the Founding Steering Committee Chair of International Conference on Connected and Autonomous Driving (MetroCAD) and the chair of the IEEE Special Technical Community on Autonomous Driving Technologies. He is an IEEE Fellow and an ACM Distinguished Scientist.
Liangkai Liu is a PhD candidate at Wayne State University. His research is on connected and autonomous vehicles and edge computing. He has published papers in top conference and journals including SEC, ICDCS, HotEdge, Proceedings of IEEE, IoTJ, etc. He is the reviewer for several journals in transportation and computer systems domain including IEEE Communications Magazine, TVT, IoTJ, IEEENetwork Magazine, etc. He is the instructor for Autonomous Vehicle Technologies online Course at Wayne State University.
"About the title" may belong to another edition of this title.
BuchWeltWeit Ludwig Meier e.K.
Bergisch Gladbach, Germany
AbeBooks seller since January 11, 2012
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