Research projects

AI-based methods for safe autonomous driving

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car driving on a crowded street
A high-performance computer in the trunk of the HM research vehicle uses state-of-the-art AI methods to interpret the flood of sensor information (Photo: Johanna Weber)
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The STADT:up project has set itself the goal of paving the way for sustainable, automated mobility in urban areas. A total of 22 partners from the automotive industry, suppliers, technology providers and research institutions are working together on concepts and pilot applications for fully automated driving.

Technologies for urban driving

The project uses various technologies, including camera systems, LiDAR and radar, as well as advanced algorithms to capture and interpret complex urban scenarios. Artificial intelligence plays a crucial role here. Professor Fabian Flohr from the HM Munich University of Applied Sciences explains: “We are working on bringing autonomous driving to the city center and are using state-of-the-art AI methods to make our systems smarter.”

Keeping pedestrians safe

HM’s research contribution focuses on the precise detection and prediction of the behavior of vulnerable road users such as pedestrians and cyclists. “The aim is for modern vehicles to be able to interpret inner-city situations including human behavior,” says Flohr.

The project is being carried out at the Intelligent Vehicles Lab (Faculty of Electrical Engineering and Information Technology, Institute for Applications of Machine Learning and Intelligent Systems - IAMLIS) under the direction of Prof. Dr. Fabian Flohr.

University
HM Hochschule München University of Applied Sciences
Sponsors
Federal State Funding
Project partner

3D Mapping Solutions GmbH, Aptiv Services Deutschland GmbH, AVL Deutschland GmbH, Federal Highway Research Institute, CARIAD SE, Continental Automotive Technologies GmbH, Continental Autonomous Mobility Germany GmbH, DeepScenario GmbH, DENSO ADAS Engineering Services GmbH, German Aerospace Center e.V.; Ergosign GmbH, qestiqon GmbH, HELLA GmbH & Co. KGaA, Mercedes-Benz AG, Chemnitz University of Technology, Darmstadt University of Technology, Technical University of Munich, Valeo Schalter und Sensoren GmbH, ZF Friedrichshafen AG, Opel Automobile GmbH

Contact person

Prof. Dr. Fabian Flohr

Email: fabian.flohr@hm.edu

Duration
01/2023 - 12/2025