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Computing Systems for Autonomous Driving
Buch von Liangkai Liu (u. a.)
Sprache: Englisch

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Beschreibung
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.
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.
Über den Autor

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.

Zusammenfassung

Introduces promising new research topics in autonomous driving computing systems

Deals with the many remaining challenges to achieving full and safe autonomy

In addition to computing systems design, examines Vehicle-to-everything (V2X) technologies and hardware platforms

Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: 2021
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Seiten: 244
Inhalt: xii
232 S.
8 s/w Illustr.
62 farbige Illustr.
232 p. 70 illus.
62 illus. in color.
ISBN-13: 9783030815639
ISBN-10: 3030815633
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Liu, Liangkai
Shi, Weisong
Auflage: 1st ed. 2021
Hersteller: Springer International Publishing
Springer International Publishing AG
Maße: 241 x 160 x 19 mm
Von/Mit: Liangkai Liu (u. a.)
Erscheinungsdatum: 16.11.2021
Gewicht: 0,535 kg
preigu-id: 120242664
Über den Autor

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.

Zusammenfassung

Introduces promising new research topics in autonomous driving computing systems

Deals with the many remaining challenges to achieving full and safe autonomy

In addition to computing systems design, examines Vehicle-to-everything (V2X) technologies and hardware platforms

Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: 2021
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Seiten: 244
Inhalt: xii
232 S.
8 s/w Illustr.
62 farbige Illustr.
232 p. 70 illus.
62 illus. in color.
ISBN-13: 9783030815639
ISBN-10: 3030815633
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Liu, Liangkai
Shi, Weisong
Auflage: 1st ed. 2021
Hersteller: Springer International Publishing
Springer International Publishing AG
Maße: 241 x 160 x 19 mm
Von/Mit: Liangkai Liu (u. a.)
Erscheinungsdatum: 16.11.2021
Gewicht: 0,535 kg
preigu-id: 120242664
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