Master thesis: Embedding of dynamic programming into a vehicle simulation in Graz bei Virtual Vehicle Research GmbH
Master- / Diplomarbeit bei Virtual Vehicle Research GmbH

Master thesis: Embedding of dynamic programming into a vehicle simulation

Virtual Vehicle Research GmbH, Graz

Automated driving has been one of the dominant topics in the automotive industry over the last decade. There are many challenges to be tackled in this field, which vary dependent on the level of automation. When it comes to the verification of fully automated vehicles, it is not feasible to cover every possible scenario. Consequently, realistic driving scenarios to alleviate the real-world testing load through simulation are requested. For developing such scenarios, realistic driving conditions like vehicle speed profiles are required. These speed profiles can for example be the result of an optimization method, such as dynamic programming. The main goal of this thesis is the embedding of a dynamic programming method in a Python framework.

TASKS

  • Review of existing scientific literature for dynamic programming and coupling methods
  • Coupling of tools with Python
  • Development of a concept for optimization
  • Evaluation/Verification of the implemented method
  • Documentation

PROFILE

  • Master study in Mathematics, Computer Science, Software Engineering, or similar
  • Programming experience, preferably in Matlab and Python
  • Independent and conscientious way of working

OFFER

  • Collaboration and contribution in an engaged, dynamic team
  • Interesting work in an international research center
  • Paid Thesis
  • Mentoring program for new employees
  • Diverse sports and health activities regularly
  • Corporate Events

For technical questions, please contact

Stephanie Grubmüller,
stephanie.grubmueller@v2c2.at, or

Pamela Innerwinkler,
pamela.innerwinkler@v2c2.at

Jobart:
Master- / Diplomarbeit
Arbeitsbeginn:
as of now
Standort:
Graz, Österreich
Gehalt:
after arrangement
Berufsfelder:
Virtual Vehicle Research GmbH
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