Simulation of Automotive Radar Point Clouds in Standardized Frameworks
Eder, Thomas
Produktnummer:
16A42821386
Autor: | Eder, Thomas |
---|---|
Veröffentlichungsdatum: | 29.11.2021 |
EAN: | 9783736975361 |
Auflage: | 001 |
Sprache: | Englisch |
Seitenzahl: | 126 |
Produktart: | Kartoniert / Broschiert |
Verlag: | Cuvillier Jentzsch-Cuvillier, Annette |
Produktinformationen "Simulation of Automotive Radar Point Clouds in Standardized Frameworks"
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?

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