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.
TO READ THIS ARTICLE, CREATE YOUR ACCOUNT
And extend your reading, free of charge and with no commitment.