Over the last few years, the “simulation hypothesis” has become a significant factor when it comes to testing of autonomous vehicles. A digital twin is a software representation of a physical system with abstractions necessary to bring real world behavior into simulations. This is a cost-effective way to generate data and test various autonomous driving functionalities. Within the research project BEINTELLI we develop a scalable software solution for our vehicle, edge and cloud infrastructure.
The aim of the master thesis is to create accurate representation of our assets such as the test track and test vehicles for virtual simulation. This includes research & development about generation of synthetic data from vehicle & edge infrastructure for a V2V or V2X use-case. The implementation should be optimized based on the limitations of the target platform.
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