In this research area, research topics are dealt with which are evolving around the processing or use of data, whereby spatial data, i.e. those with a reference to a location, play an essential role in the considered research questions. Furthermore, the entire data processing chain is covered, from acquisition, analysis and modelling to usage.
Considering the recording of (spatial) data, the research work addresses the development and optimal application of suitable measurement methods, sensor technologies and data infrastructures.
With regard to analysis and modelling, two main methodologies are used in the research area: simulations of various kinds and artificial intelligence. In addition, other theoretical principles from mathematics and computer science to engineering sciences are also used to solve the respective problems.
Concerning usage, on the one hand, the possible uses of data visualizations for different applications are investigated and on the other hand, it is explored how digitization as such can make a useful contribution in different areas.
The range of application scenarios covered by the research thrust is very broad. Thus, spatial data are the basis for many processes from spatial planning to industrial product design. The data and models are then used, for example, for studys in city and building inventories, construction testing, human-machine interaction or in virtual realities.
In this broad field of application, research activities focus on the development and use of innovative technologies. An explicit technical orientation is therefore prominent in many research activities, and solutions are developed with know-how about hardware, software and information systems. At the interface to other disciplines, this knowledge is then used to develop and test problem-adapted techniques.Accordingly, the research activities are often interdisciplinary. In addition, research activities and cooperations take place at national and international level.
The speaker of the entire research focus is Prof. Dr. Volker Coors. Dr. Janto Skowronek is the managing director.
A wide range of spatial data is processed: These range from geodata for the environment, construction and logistics to people models and geometric data of individual objects in production. Accordingly, measuring methods and evaluation procedures are available that can acquire data on different scales, from very small objects with very high accuracy requirements to larger geographical areas. For many problems, however, it is not sufficient to determine the geometry alone, often additional object properties must be measured and modelled.
Simulations provide detailed insights into complex processes and their results support decision-making and planning processes. They provide early indications of optimization potential and can therefore be used efficiently in different areas. Simulations are used in practice for the modelling of complete or partial processes of production and economy up to the design of individual components and processes. Many of the processes have an explicit reference to space and time, which must be parameterized in the models and adapted and solved to the concrete problem. Aspects of computability, numerics and algorithmic optimization play a role here, as well as the creation and calculation of models that can describe complex systems with partially dynamic behavior. The methods can be used for quality assurance beyond simulations.
A key feature of research activities working with artificial intelligence is the strong link between the theoretical foundations and the respective applications. This means that the methods of artificial intelligence are not simply applied in the research area, but the processes themselves are optimized and further developed for the respective applications. For example, there are studies in which it is investigated what structure the so-called deep neural networks must have in order to deliver optimal results.
In the area of research and teaching, these individual topics, among others, are dealt with: Learning analytics, blended learning, computer-based testing, Internet of Things and research data management. And in the field of economics, for example, the following topics are dealt with: Industry 4.0, Logistics 4.0, Smart Buildings / Building Automation and Augmented/Virtual Reality.