"MiniSchanz" is a six square metre demonstration platform with a 3D-printed city model of Ingolstadt. Four ceiling projectors project the simulated traffic directly onto the physical model - based on a detailed real-time simulation. As part of a project, students on the Artificial Intelligence master's programme, led by PhD student Alexander Horn, developed the system further. They integrated AI-supported gesture control and object recognition, which can be used to intuitively influence the simulation - for example by blocking roads or adjusting the volume of traffic. All interventions are implemented directly in the digital model and projected onto the city model. During the semester, the teams worked on various interdisciplinary modules - from the data connection to the machine learning backend and visualisation. The result shows how the combination of research and teaching creates tangible innovation - and a miniature city that provides answers to tomorrow's mobility issues today. "MiniSchanz shows how tangible Artificial Intelligence becomes when we place it in concrete social contexts," explains Professor Stefanie Schmidtner. "Especially in the area of mobility and traffic control, AI can help to find more sustainable and efficient solutions." |


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