Since 2014, Prof. Curio holds the Chair for Cognitive Systems in the Department of Computer Science at Reutlingen University. His expertise includes computer vision for dynamic scene analysis. His research group received several publication awards at international conferences (DAGM, MFI, ITSC). The group is working intensively on the transfer of pose recognition methods into the autonomous urban driving range. Many of their work processes are based on the VR/Motion Capture Laboratory, which allows the production and simulation of automotive relevant sensor data. At international conferences, Prof. Curio organised in cooperation with HELLA GmbH & Co. KGaA at IEEE IV and IEEE ITSC several workshops on sensor interoperability, sensor interfaces and people in autonomous driving environments.
In the KI Delta Learning project, Reutlingen University will focus on delta learning for sensor interoperability, especially in connection with vision tasks for person recognition. Reutlingen University's simulation work will be used for the production of corner cases, transfer learning and the adaptive extraction of learning models by active interaction methods. The state-of-the-art infrastructure of the MoCap4.0 Motion Capture and 3D Scanning Lab is used for the acquisition of real sensor data, especially of pedestrians, and synchronous motion data acquisition for the generation of motion metadata as ground truths and for the simulation of sensor data with automatically labelled 3D data.