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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -For autonomous driving to become a reality, future sensor systems must be able to not only capture the vehicle¿s environment, but also to provide semantic information. In this work, deep learning methods, meant to enhance¿or even replace¿the classical radar signal processing chain, are developed and evaluated in the context of automotive applications. For this purpose, state of the art computer vision approaches are adapted and applied to radar signals in order to detect and classify different road users. 136 pp. Englisch.
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnFor autonomous driving to become a reality, future sensor systems must be able to not only capture the vehicle s environment, but also to provide semantic information. In this work, deep learning methods, meant to enhance-or even .
Lingua: Inglese
Editore: Cuvillier, Cuvillier Jun 2021, 2021
ISBN 10: 3736974620 ISBN 13: 9783736974623
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -For autonomous driving to become a reality, future sensor systems must be able to not only capture the vehicle¿s environment, but also to provide semantic information. In this work, deep learning methods, meant to enhance¿or even replace¿the classical radar signal processing chain, are developed and evaluated in the context of automotive applications. For this purpose, state of the art computer vision approaches are adapted and applied to radar signals in order to detect and classify different road users.Cuvillier Verlag, Nonnenstieg 8, 37075 Göttingen 136 pp. Englisch.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - For autonomous driving to become a reality, future sensor systems must be able to not only capture the vehicle¿s environment, but also to provide semantic information. In this work, deep learning methods, meant to enhance¿or even replace¿the classical radar signal processing chain, are developed and evaluated in the context of automotive applications. For this purpose, state of the art computer vision approaches are adapted and applied to radar signals in order to detect and classify different road users.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Deep Learning Methods for Automotive Radar Signal Processing | Rodrigo Pérez González | Taschenbuch | Kartoniert / Broschiert | Englisch | 2021 | Cuvillier | EAN 9783736974623 | Verantwortliche Person für die EU: Cuvillier Verlag, Nonnenstieg 8, 37075 Göttingen, info[at]cuvillier[dot]de | Anbieter: preigu Print on Demand.