Sensor Technology and Signal Processing

This cluster, the biggest method-based cluster in our faculty, forms the foundation for many basic application-oriented areas of research. The scientific expertise in the field of sensor technology and signal processing covers topics such as analogue and digital real-time processing of electric signals, signal and channel coding, algorithms for model-based signal processing, video signal processing, methods of information fusion and sensor fusion, pattern recognition, data mining and automatic learning.

In this area, the borders between engineering and computer science become blurred. The largest trans-institute, application-specific fields of research in this cluster are signal processing for communications technology, life sciences and automotive electronics.

Research in the area of life sciences includes using methods and principles from information theory to understand biologically redundant coding (e.g. human DNA), retina implants and systems for improved or noncontact assessment of vital signs.

The main areas of research in the field of automotive electronics are driver assistance and driver safety systems, as well as technologies and methods for inter-vehicular communication and communication between vehicles and infrastructure components.