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DemoBin.DataBin project launch: Research for safe and automated inland navigation

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© Alexander Puzicha
Department of Computer Science launches research project on the automation of inland waterway transport

The DemoBin.DataBin joint project has been launched at the Department of Computer Science to open up new ways of safe and automated ship navigation in inland shipping. The sub-project led by Dr. Alexander Puzicha (Chair of Practical Computer Science) is developing a data and infrastructure platform for collecting and analyzing extensive sensor data as well as AI-based models for classifying ship types and predicting trajectories.

Together with partners from research and industry - including DST, BAW, RWTH Aachen University, UDE and Addix GmbH - the Department of Computer Science is forming a strong consortium that closely interlinks simulation, laboratory testing and real tests. The aim is to further develop automation systems in such a way that they at least reach or exceed the safety level of today's ship navigation.

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