• Anglický jazyk

Simulation of Automotive Radar Point Clouds in Standardized Frameworks

Autor: Thomas Eder

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.... Viac o knihe

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O knihe

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?

  • Vydavateľstvo: Cuvillier
  • Rok vydania: 2021
  • Formát: Paperback
  • Rozmer: 210 x 148 mm
  • Jazyk: Anglický jazyk
  • ISBN: 9783736975361

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