The Department of »Object and Shape Detection«, headed by Prof Alexander Reiterer, is focusing on the entire process chain for the automated mapping, referencing, analysis and visualization of the geometry and position of infrastructural objects. We develop measurement systems, mainly laser scanners, as well as custom lighting and camera systems which map objects and shapes three-dimensionally with extreme speed and precision – mostly from moving platforms. Typical measuring ranges are between a few centimeters to hundreds of meters.
Measured data is evaluated in a fully automated process and interpreted by specially developed software. To this end, we employ techniques from the field of artificial intelligence (AI), such as deep learning. Data that is processed and visualized for specific applications provides a sound basis for planning, which is particularly important where planning and monitoring conditions of building infrastructure is concerned, for instance.