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Prädiktion und Planung von kooperativen Fahrmanövern

Information on the Thesis

Type of Final Thesis: Bachelor, Master
Supervisor: J. Marius ZöllnerKarl Kurzer
Research Group: Applied Technical Cognitive Systems

Archive Number: 4.160
Status of Thesis: Open

Further Information
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Prediction and Planning of Cooperative Driving Maneuvers

Automated, cooperative vehicles have to make decisions in road traffic in a highly dynamic, interacting and incompletely perceptible environment. Previous approaches are usually only considering an egocentric perspective, without considering any cooperative aspects, with or between others.


For the prediction and planning of cooperative driving maneuvers, a method is to be developed in this thesis, which takes the interdependencies of the individual road users into account as well as probabilistically models the system states.


  • An interdisciplinary research environment with partners from science and industry
  • A constructive collaboration with bright, motivated employees
  • A pleasant working atmosphere


  • Ability to implement both state of the art and experimental algorithms
  • Basic C++ knowledge (C++11, STL, etc.)
  • Sound English or German skills
  • High creativity and productivity
  • Knowledge in the field of artificial intelligence, game theory or related areas are a plus
  • Experiences with graph search algorithms, e.g. Monte Carlo tree search are a plus


  • current transcript of records
  • CV


Karl Kurzer