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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)
Editore: Morgan & Claypool Publishers, 2019
ISBN 10: 1681736160 ISBN 13: 9781681736167
Lingua: Inglese
Da: suffolkbooks, Center moriches, NY, U.S.A.
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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 (Synthesis Lectures on Advances in Automotive Technology)
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
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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 (Synthesis Lectures on Advances in Automotive Technology)
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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)
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Deep Learning for Autonomous Vehicle Control : Algorithms, State-of-the-Art, and Future Prospects
Da: Chiron Media, Wallingford, Regno Unito
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Deep Learning for Autonomous Vehicle Control : Algorithms, State-of-the-art, and Future Prospects
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Deep Learning for Autonomous Vehicle Control : Algorithms, State-of-the-art, and Future Prospects
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 42,30
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Deep Learning for Autonomous Vehicle Control
Editore: Springer International Publishing, Springer Nature Switzerland Aug 2019, 2019
ISBN 10: 3031003748 ISBN 13: 9783031003745
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: 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
Editore: Springer International Publishing, 2019
ISBN 10: 3031003748 ISBN 13: 9783031003745
Lingua: Inglese
EUR 35,30
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Aggiungi al carrelloTaschenbuch. Condizione: 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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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Deep Learning for Autonomous Vehicle Control | Algorithms, State-of-the-Art, and Future Prospects | Sampo Kuutti (u. a.) | Taschenbuch | xiv | Englisch | 2019 | Springer | EAN 9783031003745 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Deep Learning for Autonomous Vehicle Control: Algorithms, State-of-the-Art, and Future Prospects
Da: Revaluation Books, Exeter, Regno Unito
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EUR 118,20
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Aggiungi al carrelloPaperback. Condizione: Brand New. 66 pages. 9.25x7.50x0.25 inches. In Stock.
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Deep Learning for Autonomous Vehicle Control: Algorithms, State-of-the-Art, and Future Prospects
Editore: Morgan & Claypool Publishers, 2019
ISBN 10: 1681736071 ISBN 13: 9781681736075
Lingua: Inglese
Da: Mispah books, Redhill, SURRE, Regno Unito
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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)
Da: Majestic Books, Hounslow, Regno Unito
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Deep Learning for Autonomous Vehicle Control
Editore: Springer International Publishing Aug 2019, 2019
ISBN 10: 3031003748 ISBN 13: 9783031003745
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: 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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Deep Learning for Autonomous Vehicle Control: Algorithms, State-of-the-Art, and Future Prospects (Synthesis Lectures on Advances in Automotive Technology)
Da: Biblios, Frankfurt am main, HESSE, Germania
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Deep Learning for Autonomous Vehicle Control
Editore: Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2019
ISBN 10: 3031003748 ISBN 13: 9783031003745
Lingua: Inglese
EUR 32,69
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Aggiungi al carrelloCondizione: 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.
