- Systematic analysis of maneuvers during highway driving
- Development of a control concept for Interactive Longitudinal Control (ILoC)
- Development of concepts for assisted driving in street tunnels
- Development of a mobile radar measurement station
- Development of a replaceable rope winch for the EVITA towing vehicle
- Development of a recuperative brake system for Formula Student race cars
- Development of a test rig for the investigation of wear of passenger car tires
The ADP/ARP should be done as a team work in a group of four to seven students.
ADP/ARP inquiries are only accepted for groups of at least four persons. Single-person inquiries will not be processed. Please find a group on your own initiative (e.g. through Maschinenbauerforum).
Generally, a requirement for participation in an automotive engineering ADP/ARP is the participation in one or more lectures of FZD. This depends on the topic of the offered ADP/ARP.
No matching topics in the list?
If you can't find a matching topic in the list below you can always apply for a thesis or project using our webform for unsolicited applications. All research associates of FZD will have the chance to see your application.
Webform for unsolicited applications for projects and theses
In the AUTOtech.agil project, various use cases for automated driving at low speeds (e.g. automated valet parking, traffic-calmed areas) are to be realized through the architecture of a cross-application driving function (“low-speed function”). For this purpose, a higher-level module for planning a global target trajectory from a starting point to a destination point for unstructured and semi-structured environments (e.g. parking lot) has already been developed and integrated into a simulation framework based on IPG CarMaker and ROS2. The global trajectory planner only considers static obstacles from a previously known high-definition map. Based on this, a local trajectory planner is to be developed in this master's thesis, which safeguards the specified global trajectory by reacting to static and dynamic objects in the environment with suitable maneuvers (braking, swerving, etc.). The aim is also to locally optimize the global trajectory so that it can be processed by a downstream controller. The trajectory planner is to be implemented in C++ in accordance with the interfaces of the simulation framework (CarMaker, ROS2).
Supervisor: Moritz Berghöfer, M.Sc.
2024/08/12
In Zusammenarbeit mit einer interdiszipliären Gruppe aus den Studiengängen ETiT, Mechatronik und Informatik wird die Software eines autonom fahrenden Modellfahrzeugs entwickelt. Hierzu steht ein mit Umfeld- und Fahrdynamiksensorik ausgestatteter Prototyp zur Verfügung. Am Ende des Projektes soll das Fahrzeug einen Rundkurs autonom und möglichst schnell bewältigen können + eine weitergehende vertiefende Wahl-Aufgabe erfüllt sein (z.B. Schilder- / Fußgängererkennung, Einparken,…).
Supervisor: Kristof Hofrichter, M.Sc.