- 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