Title: Simulation of Automotive Radar Point Clouds in Standardized Frameworks
Publisher: Cuvillier
Publication Date: 2021
Language: English
ISBN 10: 3736975368
ISBN 13: 9783736975361
Binding: Soft cover
Condition: New

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Synopsis

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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