The 6GEM consortium combines scientific excellence and mobile communications expertise at network, material, component/microchip and module level in North Rhine-Westphalia. A holistic approach is being pursued, from production and logistics to people with their needs for self-determination, privacy and security in times of climate change.

Development of a high-precision FMCW radar system for noncontact height measurement in air springs.

Combination of SiGe circuits and holographic antennas for high-performance, broadband THz transmission systems

The goal of the MARIE project is to develop a compact and thus mobile material detector with integrated sub-millimeter wave electronics that is capable of detecting "on the fly" the material properties of a wide variety of objects.

In the PARTIKELRADAR project, radar-based systems for the characterization of particle flows are being researched.

The RADIKAL project is researching new ways to make drones more flexible and secure in logistics by using advanced radar sensors and cameras in AI-based sensor fusion models.

Cutting-edge radar technology for the metal industry

The SafeMe joint project is developing a tracking platform to protect vulnerable road users in the context of fully automated driving.

As part of the SHIELD research project, the novel technology of a harmonic ISM radar is to be researched, further developed and tested in the field of intralogistics for the localization of AGVs and goods. The innovation of SHIELD is to make the advantages of harmonic radar systems in the mm-wave range available for industrial use.

The TIGER project is developing a broadband electronic THz radar system that solves the problems of optical approaches.

Collaboration of renowned research institutes in the terahertz frequency range.

The aim of this research project is to realize an autonomous tram in the isolated, yet highly complex environment of a depot. The approach being pursued here is the fusion of distributed synchronized radar sensors and additional redundancy through ultrasonic sensors to increase reliability. This locates obstacles in the various light areas of the streetcar, from which autonomous driving commands are subsequently generated.