• Development of a Deep Learning model for single-shot, online calibration of multimodal sensor inputs• Usage of the Transformer architecture to enhance the accuracy and efficiency in sensor calibration tasks

• Development & maintenance of TUfast's driverless software stack, hardware & sensors integration• Concept design for upcoming vehicles, including software & hardware setups

• Software implementation of autonomous software stack containing perception, localization, motion planning and control on a racecar • Hardware integration and commissioning in vehicle, containing sensors and actuation• Development of autonomous driving functions and sensor integration• Leadership of a team of 15 people, including regular meetings, team management, and project management• Communication with sponsors and manufacturing companies• Recruitment of new members

• Integration of autonomous software stack in a 3D simulation environment• Development and testing of ROS interface• Maintenance of autonomous software stack, specifically localization and motion planning, and conducting tests in a simulation environment• Creation of test cases for on-track testing and corresponding planning and execution

Lehrstuhl Fördertechnik Materialfluss und Logistik, Betreuung CAD und Maschinenzeichnen Praktikum