MASTER THESIS STUDENT - EXTENDING THE PREDICTIVE AUTONOMY LAB

Die Fraunhofer-Gesellschaft (www.fraunhofer.de) betreibt in Deutschland derzeit 76 Institute und Forschungseinrichtungen und ist eine der führenden Organisationen für anwendungsorientierte Forschung. Rund 32 000 Mitarbeitende erarbeiten das jährliche Forschungsvolumen von 3,4 Milliarden Euro.

The Safety Engineering department develops methods and tools for model-based safety engineering, dynamic risk management and innovative safety concepts. Fraunhofer IESE’s Predictive Autonomy Lab (PAL) is a state-of-the-art driving simulator laboratory supporting research in automated driving systems, safety engineering, and human-machine interaction. It offers a controlled environment for researching human behavior in the context of the automotive domain focusing on driving automation systems and driver monitoring (https://www.iese.fraunhofer.de/pal). As vehicles increasingly integrate partial automated driving systems and driver control assistance systems (ADAS/DCAS) drivers need to supervise the automation system. In this context driver monitoring systems (DMS) become important to ensure a correct supervision. To validate new technologies for DMS a robust evaluation environments with a realistic reference system become critical. This master thesis aims to select and integrate an open-source DCAS and DMS solution (e.g., openpilot, Apollo Auto, CARLA-based extensions) into our PAL, enabling benchmarking against a realistic reference system.

Was Du bei uns tust

Do your master thesis in close collaboration with ongoing research
Work as part of your master thesis comprises:
- Conduct a survey of open-source partial driving automation and driver monitoring systems
- Select a suitable system based on requirements that you defined in alignment with the supervisor
- Design an integration architecture for the chosen system and the PAL
- Implement the technical integration
- Validate the successful integration
Present your progress regularly to your supervisor
Finalize your thesis documenting your work
Present your final results to your professor, your supervisor and colleagues at Fraunhofer IESE

Was Du mitbringst

Computer science student (or comparable university course)
Fluency in German or English (spoken and written)
Ability to work on-site at Fraunhofer IESE in Kaiserslautern
Strong programming skills in Python and C++
Experience working with driving simulation environments (e.g., CARLA, SILAB) and implementing + integrating components into the them
Very good academic transcript w.r.t. master courses with no courses remaining besides this thesis when the master thesis is expected to start
Good communication skills to explain concepts and receive feedback
High motivation, independence, and reliability

Was Du erwarten kannst

Weekly or bi-weekly meetings with the supervisor to receive continuous and early feedback
Access to and chance to work with a state-of-the-art driving simulator environment
Opportunity to work on a scientifically valuable topic supporting ongoing research projects
Collaborative and supportive research environment
Flexible working hours
Possibility to work on-site as well as from home in alignment with the needs of the ongoing work
Contribution to the advancement of safety-based technologies in automated driving

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Für inhaltliche Fragen wende dich bitte an:

Marc Lorenz

marc.lorenz@iese.fraunhofer.de

Fraunhofer-Institut für Experimentelles Software Engineering IESE

www.iese.fraunhofer.de

Kennziffer: 81411 Bewerbungsfrist:

Stellensegment: Open Source, Computer Science, Software Engineer, Risk Management, Technology, Research, Engineering, Finance

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