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Deep Learning Autonomous Vehicle by Kuutti Sampo (18 results)
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Deep Learning for Autonomous Vehicle Control : Algorithms, State-of-the-art, and Future Prospects
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Deep Learning for Autonomous Vehicle Control: Algorithms, State-of-the-Art, and Future Prospects (Synthesis Lectures on Advances in Automotive Technology)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Deep Learning for Autonomous Vehicle Control : Algorithms, State-of-the-art, and Future Prospects
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Deep Learning for Autonomous Vehicle Control : Algorithms, State-of-the-Art, and Future Prospects
Published by Springer International Publishing, 2019
ISBN 10: 3031003748 ISBN 13: 9783031003745
Language: English
£ 31.51
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Seiten: 80 | Sprache: Englisch | Produktart: Bücher.
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Deep Learning for Autonomous Vehicle Control
Published by Springer International Publishing, Springer Nature Switzerland Aug 2019, 2019
ISBN 10: 3031003748 ISBN 13: 9783031003745
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Add to basketTaschenbuch. Condition: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 84 pp. Englisch.
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Deep Learning for Autonomous Vehicle Control: Algorithms, State-of-the-Art, and Future Prospects (Synthesis Lectures on Advances in Automotive Technology)
Published by Morgan & Claypool Publishers, 2019
ISBN 10: 1681736160 ISBN 13: 9781681736167
Language: English
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Deep Learning for Autonomous Vehicle Control: Algorithms, State-of-the-Art, and Future Prospects
Published by Morgan & Claypool Publishers, 2019
ISBN 10: 1681736071 ISBN 13: 9781681736075
Language: English
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Deep Learning for Autonomous Vehicle Control
Published by Springer International Publishing Aug 2019, 2019
ISBN 10: 3031003748 ISBN 13: 9783031003745
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 84 pp. Englisch.
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Condition: New. Print on Demand.
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Deep Learning for Autonomous Vehicle Control
Published by Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2019
ISBN 10: 3031003748 ISBN 13: 9783031003745
Language: English
£ 29.18
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Add to basketCondition: New. 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.
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