Activities

The FamConMe Project, funded by the EU, demonstrates how (geo)spatial datasets and human-worn sensor data (i.e., eye tracking, body tracking, and GNSS tracking) can be efficiently fused and transformed into valuable inputs for deep learning models that predict human activities.

The Spatial DL Project, funded my Otto Immobilien GmbH, demonstrates how (geo)spatial datasets can be efficiently transformed into valuable inputs for deep learning models that predict real estate values.