Deep Learning for Autonomous Vehicle Control
Language: English
Published by Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2019
- Softcover
- New
Condition: New
£ 28.23
Quantity: Over 20 available
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Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The next generation of autonomous vehicles will provide major improvements in traffic flow, fuel efficiency, and vehicle safety. Several challenges currently prevent the deployment of autonomous vehicles, one aspect of which is robust and adaptable vehic.
Seller Inventory # 608128805
- Title
- Deep Learning for Autonomous Vehicle Control
- Author
- Kuutti, Sampo|Fallah, Saber|Bowden, Richard|Barber, Phil
- Publisher
- Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer
- Publication year
- 2019
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3031003748
- ISBN 13
- 9783031003745
- Seller catalogs
- Mathematik/Naturwissenschaften/Technik/Medizin
The next generation of autonomous vehicles will provide major improvements in traffic flow, fuel efficiency, and vehicle safety. Several challenges currently prevent the deployment of autonomous vehicles, one aspect of which is robust and adaptable vehicle control. Designing a controller for autonomous vehicles capable of providing adequate performance in all driving scenarios is challenging due to the highly complex environment and inability to test the system in the wide variety of scenarios which it may encounter after deployment. However, deep learning methods have shown great promise in not only providing excellent performance for complex and non-linear control problems, but also in generalizing previously learned rules to new scenarios. For these reasons, the use of deep neural networks for vehicle control has gained significant interest.
In this book, we introduce relevant deep learning techniques, discuss recent algorithms applied to autonomous vehicle control, identify strengths and limitations of available methods, discuss research challenges in the field, and provide insights into the future trends in this rapidly evolving field.
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
Shipping rates from Germany to U.S.A.
| Item | 26 to 60 business days | 26 to 60 business days |
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