Computing Systems for Autonomous Driving

·
· Springer Nature
Е-књига
232
Страница
Оцене и рецензије нису верификоване  Сазнајте више

О овој е-књизи

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.

О аутору

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.


Оцените ову е-књигу

Јавите нам своје мишљење.

Информације о читању

Паметни телефони и таблети
Инсталирајте апликацију Google Play књиге за Android и iPad/iPhone. Аутоматски се синхронизује са налогом и омогућава вам да читате онлајн и офлајн где год да се налазите.
Лаптопови и рачунари
Можете да слушате аудио-књиге купљене на Google Play-у помоћу веб-прегледача на рачунару.
Е-читачи и други уређаји
Да бисте читали на уређајима које користе е-мастило, као што су Kobo е-читачи, треба да преузмете фајл и пренесете га на уређај. Пратите детаљна упутства из центра за помоћ да бисте пренели фајлове у подржане е-читаче.