Buch, Englisch, 221 Seiten, Paperback, Format (B × H): 191 mm x 235 mm, Gewicht: 464 g
Buch, Englisch, 221 Seiten, Paperback, Format (B × H): 191 mm x 235 mm, Gewicht: 464 g
Reihe: Synthesis Lectures on Computer Science
ISBN: 978-3-031-00677-7
Verlag: Springer International Publishing
Since the first edition of this book was released, many universities have adopted it in their autonomous driving classes, and the authors received many helpful comments and feedback from readers. Based on this, the second edition was improved by extending and rewriting multiple chapters and adding two commercial test case studies. In addition, a new section entitled “Teaching and Learning from this Book” was added to help instructors better utilize this book in their classes. The second edition captures the latest advances in autonomous driving and that it also presents usable real-world case studies to help readers better understand how to utilize their lessons in commercial autonomous driving projects.
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 extensive references for an effective, deeper exploration of the various technologies.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik
- Technische Wissenschaften Verkehrstechnik | Transportgewerbe Fahrzeugtechnik
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Astronautik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Technische Wissenschaften Verkehrstechnik | Transportgewerbe Luft- und Raumfahrttechnik, Luftverkehr
Weitere Infos & Material
Preface to the Second Edition.- Teaching and Learning from This Book.- 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.- Autonomous Last-Mile Delivery Vehicles in Complex Traffic Environments.- PerceptIn's Autonomous Vehicles Lite.- Author Biographies.