The RACKET project addresses the problem of detecting rare and unknown faults by combining model-based and machine learning methods. The approach is ...
Phase 1 of 2 (Preparation Phase): The fulfilment of individual customer requirements is becoming an increasingly decisive factor when considering the ...
Die visuelle 3D-Erfassung einer Szene in Echtzeit und die gleichzeitige Bestimmung der Position und Orientierung der Kamera (6DoF, Freiheitsgrad) im ...
A remaining major challenge with autonomous systems is the handling of situations that the system cannot handle on its own. Up to now, this transfer ...
The HaLeR project aims to develop solutions for a flexible and adaptive MMI. The developed methods should allow a system to react and adapt flexibly ...