Community,
Mobility,
Künstliche Intelligenz,
Pressemitteilung der TUM
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A team at the Technical University of Munich (TUM) has been working in the Providentia and Providentia++ projects to equip busy roads with advanced sensor technology. With artificial intelligence (AI), the data are digitally twinned to create a model of the real-world traffic situation. In this interview project leader Alois Knoll, a professor of Robotics, Artificial Intelligence and Embedded Systems, explains the underlying vision – and what needs to be done to keep pace with the future of digital mobility.
