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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Simulation of Automotive Radar Point Clouds in Standardized Frameworks

Simulation of Automotive Radar Point Clouds in Standardized Frameworks

Eder, Thomas

Paperback

Technology & EngineeringElectrical

ISBN10: 3736975368
ISBN13: 9783736975361
Publisher: Cuvillier
Published: Nov 29 2021
Pages: 126
Weight: 0.35
Height: 0.27 Width: 5.83 Depth: 8.27
Language: English
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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