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.

  • Teleoperation means the remote control of a vehicle and is seen as a fundamental key factor to enable automated driving. For the analysis of different teleoperation systems a simulator will be build. Because the real research vehicle is driving in Darmstadt, it seems obvious to map the tram network of Darmstadt including its surroundings into the simulator. Therefore it shall be evaluated how the environment sensors mounted to the research vehicle can be used to create a semi automatic generation of the 3D environment model.

    Supervisors: Patrick Pintscher , M. Sc., Timm Ruppert , M. Sc.

    Announcement as PDF

  • Teleoperation means the remote control of a vehicle and is seen as a fundamental key factor to enable automated driving. For this purpose different signals are transmitted between the vehicle and the operator workplace via radio transmission. To handle all these data as well as to cope with bandwidth limitations, latency, lost or damaged data, a bi-directional data management system shall be developed.

    Supervisors: Patrick Pintscher , M. Sc., Timm Ruppert , M. Sc.

    Announcement as PDF

  • In the aDDa-project, students are developing an autonomous driving vehicle. In the scope of this project, a trajectory planner in ROS and controllers for longitudinal and lateral dynamics have been developed. Before implementing them to the test vehicle, they must be tested via hardware in the loop (HiL). The goal of this master thesis is to develop an appropriate HiL platform using the microautobox (MAB) and CarMaker and to implement the previously developed controllers.

    Supervisors: Cheng Wang , M. Sc., Christoph Popp , M. Sc.

    Announcement as PDF

  • Todays street traffic is optimized for manual driving with humans, resulting in the fact that most information transfer in traffic highly relies on visual recognition. Therefore, it only makes sense to utilize cameras for automated driving. While cameras among the other sensors provide the most information in their measurement, it is very challenging to extract this information. For an automated tram prototype a precise interpretation of the camera data is needed. One part of this problem is to detect obstacles. Within this work requirements should be identified, multiple existing algorithms for visual object detection compared. Based on this analysis one algorithm should be implemented, tested and evaluated.

    Supervisors: Timm Ruppert , M. Sc., Patrick Pintscher , M. Sc.

    Announcement as PDF

  • Um bei automatisierten Fahrzeugen die sichere Fahrbarkeit geplanter Trajektorien zu garantieren, wird ein mehrschichtiges Sicherheitskonzept entwickelt. Mit dem Ziel, Fehler in den ersten Schritten der Sensordatenerfassung und –verarbeitung zu erkennen, wird hierbei zunächst eine Plausibilitätsprüfung der Fahrzeugsensordaten angestrebt. Im Rahmen dieser Arbeit sollen Methodiken zur Datenplausibilisierung von Umfeldsensoren erarbeitet werden. Insbesondere steht die Frage im Mittelpunkt, inwiefern aus fusionierten Sensordaten Rückschlüsse auf die Vertrauenswürdigkeit einzelner Sensoren möglich sind.

    Supervisor: Christoph Popp , M. Sc.

    Announcement as PDF