Alois Knoll is head of the chair of Robotics, Artificial Intelligence and Embedded Systems. Image: Sebastian Kissel / TUM
Alois Knoll is head of the chair of Robotics, Artificial Intelligence and Embedded Systems. Image: Sebastian Kissel / TUM Interview with Prof. Alois Knoll on the benefits of intelligent traffic systems - 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. Prof. Knoll, in the Providentia research project your team equipped a section of the A9 autobahn near Munich with radar systems and cameras. In the follow-up Providentia++ project, you're now doing the same with a busy intersection in the district of Garching-Hochbrück. How will this work impact the traffic of tomorrow? The sensors are positioned at a height of around 10 meters on the overhead sign bridges and masts, where they provide an excellent overview of what is happening on the road.
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