eBook - ePub
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Construction Methods for an Autonomous Driving Map in an Intelligent Network Environment
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- 206 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Available until 21 Sep |Learn more
Construction Methods for an Autonomous Driving Map in an Intelligent Network Environment
Book details
Table of contents
Citations
About This Book
This book provides an overview of constructing advanced Autonomous Driving Maps. It includes coverage of such methods as: fusion target perception (based on vehicle vision and millimeter wave radar), cross-field of view object perception, vehicle motion recognition (based on vehicle road fusion information), vehicle trajectory prediction (based on improved hybrid neural network) and the driving map construction method driven by road perception fusion.
An Autonomous Driving Map is used for optimization of not only for a single vehicle, but also for the entire traffic system.
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Yes, you can access Construction Methods for an Autonomous Driving Map in an Intelligent Network Environment by Zhijun Chen in PDF and/or ePUB format, as well as other popular books in Tecnología e ingeniería & Transporte e ingeniería automovilísticos. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover image
- Title page
- Table of Contents
- Copyright
- About the author
- Preface
- 1. Introduction
- 2. Fusion target perception method based on vehicle vision and radar
- 3. Crossfield of view object perception method
- 4. Vehicle motion recognition method based on vehicle road fusion information
- 5. Vehicle trajectory prediction method based on improved hybrid neural network
- 6. Driving map construction based on road perception fusion
- 7. Conclusion
- Index