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Idioma: Inglés
Publicado por Cuvillier, Cuvillier Nov 2021, 2021
ISBN 10: 3736975368 ISBN 13: 9783736975361
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The simulation of the vehicle's environmental sensors, the so-called sensor simulation, is crucial for testing and validating autonomous driving. Automobile manufacturers are increasingly focusing on a standardized architecture with a high level of abstraction. In order to simulate the sensors, such as radar sensors, most realistically on a point cloud level, data-based methods are used in many cases. In general, and specifically in case of radar sensors, there are still challenges to be faced. Therefore, four research questions are addressed:Is it possible to generate synthetic training data for data-based models Which statistical approaches are suitable to simulate radar point clouds and how shall their learning capacities be evaluated Is there a modeling approach to circumvent the disadvantages of statistical modeling How to tackle the statistical nature of radar sensors during validation 126 pp. Englisch.
Idioma: Inglés
Publicado por Jentzsch-Cuvillier, Annette, 2021
ISBN 10: 3736975368 ISBN 13: 9783736975361
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Añadir al carritoKartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnThe simulation of the vehicle s environmental sensors, the so-called sensor simulation, is crucial for testing and validating autonomous driving. Automobile manufacturers are increasingly focusing on a standardized architecture wi.
Idioma: Inglés
Publicado por Cuvillier, Cuvillier Nov 2021, 2021
ISBN 10: 3736975368 ISBN 13: 9783736975361
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The simulation of the vehicle's environmental sensors, the so-called sensor simulation, is crucial for testing and validating autonomous driving. Automobile manufacturers are increasingly focusing on a standardized architecture with a high level of abstraction. In order to simulate the sensors, such as radar sensors, most realistically on a point cloud level, data-based methods are used in many cases. In general, and specifically in case of radar sensors, there are still challenges to be faced. Therefore, four research questions are addressed:Is it possible to generate synthetic training data for data-based models Which statistical approaches are suitable to simulate radar point clouds and how shall their learning capacities be evaluated Is there a modeling approach to circumvent the disadvantages of statistical modeling How to tackle the statistical nature of radar sensors during validation Cuvillier Verlag, Nonnenstieg 8, 37075 Göttingen 126 pp. Englisch.
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The simulation of the vehicle's environmental sensors, the so-called sensor simulation, is crucial for testing and validating autonomous driving. Automobile manufacturers are increasingly focusing on a standardized architecture with a high level of abstraction. In order to simulate the sensors, such as radar sensors, most realistically on a point cloud level, data-based methods are used in many cases. In general, and specifically in case of radar sensors, there are still challenges to be faced. Therefore, four research questions are addressed:Is it possible to generate synthetic training data for data-based models Which statistical approaches are suitable to simulate radar point clouds and how shall their learning capacities be evaluated Is there a modeling approach to circumvent the disadvantages of statistical modeling How to tackle the statistical nature of radar sensors during validation.
Librería: preigu, Osnabrück, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. Simulation of Automotive Radar Point Clouds in Standardized Frameworks | Thomas Eder | Taschenbuch | Kartoniert / Broschiert | Englisch | 2021 | Cuvillier | EAN 9783736975361 | Verantwortliche Person für die EU: Cuvillier Verlag, Nonnenstieg 8, 37075 Göttingen, info[at]cuvillier[dot]de | Anbieter: preigu Print on Demand.