Buch, Englisch, 186 Seiten, Hardback, Format (B × H): 190 mm x 235 mm
Buch, Englisch, 186 Seiten, Hardback, Format (B × H): 190 mm x 235 mm
Reihe: Synthesis Lectures on Computer Science
ISBN: 978-1-68173-243-5
Verlag: MORGAN & CLAYPOOL
This book consists of nine chapters. Chapter 1 provides an overview of autonomous vehicle systems; Chapter 2 focuses on localization technologies; Chapter 3 discusses traditional techniques used for perception; Chapter 4 discusses deep learning based techniques for perception; Chapter 5 introduces the planning and control sub-system, especially prediction and routing technologies; Chapter 6 focuses on motion planning and feedback control of the planning and control subsystem; Chapter 7 introduces reinforcement learning-based planning and control; Chapter 8 delves into the details of client systems design; and Chapter 9 provides the details of cloud platforms for autonomous driving.
This book should be useful to students, researchers, and practitioners alike. Whether you are an undergraduate or a graduate student interested in autonomous driving, you will find herein a comprehensive overview of the whole autonomous vehicle technology stack. If you are an autonomous driving practitioner, the many practical techniques introduced in this book will be of interest to you. Researchers will also find plenty of references for an effective, deeper exploration of the various technologies.
Autoren/Hrsg.
Weitere Infos & Material
- Preface
- Introduction to Autonomous Driving
- Autonomous Vehicle Localization
- Perception in Autonomous Driving
- Deep Learning in Autonomous Driving Perception
- Prediction and Routing
- Decision, Planning, and Control
- Reinforcement Learning-based Planning and Control
- Client Systems for Autonomous Driving
- Cloud Platform for Autonomous Driving
- Author Biographies