Masterarbeit: Adaptive multimodale Sensorfusion mit 5G/6G ISAC (w/m/div.)
Core
Developing adaptive sensor fusion strategies and a modular system-level simulator for next-generation vehicle perception using Integrated Sensing and Communication (ISAC) and 5G/6G technologies.
Role type
Master's thesis researcher (automotive perception & wireless systems)
Builds
Modular system-level simulator for multi-sensor scenarios and ISAC-based perception pipelines
Domain
Automotive, Wireless Communications, Sensor Fusion
Deliverable
production ML models | product features | research
Required skills
Signal processing, Wireless communications (5G/6G), Radar systems, Sensor fusion, Matlab/Simulation tools
Preferred skills
Machine Learning
Technologies
Matlab, 5G, 6G, ISAC, Radar
Responsibilities
Analyze ISAC-based sensor roles and limits for vehicle environment perception; Develop or extend a modular system-level simulator; Implement adaptive sensor fusion strategies (weighting, selection, switching); Compare perception pipelines (radar, multi-sensor, ISAC); Conduct simulation experiments under varying conditions; Interpret results regarding robustness, reliability, and trade-offs.
Seniority
Master's student (research project)
