Master Theses

If you are interested to start your Master Thesis in the field of automotive engineering take a look at our current topics! You can always contact us for further topics or ideas.

  • A big challenge in the validation of automated vehicles is the high test effort that arises from the multitude of influencing parameters and boundary conditions. FZD has therefore developed a functional decomposition approach that reduces the test effort by dividing the driving function into sub-functions that can be tested independently of each other.

    Supervisor: Björn Klamann , M. Sc.

    Announcement as PDF

  • For the use of a demo vehicle in public road traffic within the research project PRORETA 5, it is necessary to develop a test concept that proves the safety of the system. Within the scope of this work, a methodology for the definition of safety requirements for the perception of the environment of an automated vehicle is to be developed, with the help of which a test layout for testing the functions of this module is derived.

    Supervisor: Felix Glatzki , M. Sc.

    Announcement as PDF

  • For the use of a demo vehicle in public road traffic within the research project PRORETA 5, it is necessary to develop a test concept that proves the safety of the system. Within the scope of this thesis a methodology for the evaluation of the behavior of an automated vehicle is to be developed. This evaluation serves as a basis for the evaluation of overall vehicle tests regarding safety.

    Supervisor: Felix Glatzki , M. Sc.

    Announcement as PDF

  • In this thesis, actuator faults in automated vehicles and their impact on the motion control should be investigated.

    Supervisor: Tobias Homolla , M. Sc.

    Announcement as PDF

  • At the Department of Automotive Engineering at the TU Darmstadt (FZD), research is being conducted in the UNICARagil project in cooperation with the university network Uni DAS e.V. on novel, disruptive, modular and scalable vehicle architectures and vehicle platforms. FZD is developing a trajectory tracking system to follow a previously planned trajectory as accurately as possible.

    Supervisors: Tobias Homolla , M. Sc., Björn Klamann , M. Sc.

    Announcement as PDF