Department of Computer Science
Prof. Dr Sebastian Houben
Professor for Robot Vision and Machine Learning/ International Affairs Representative/Head of Examination Board Master Autonomous Systems
Unit
Department of Computer Science, Institute of Technology, Resource and Energy-efficient Engineering (TREE)
Location
Sankt Augustin
Room
C230
Address
Grantham-Allee 20
53757, Sankt Augustin
Telephone
+49 2241 865 293Memberships
Research Projects
The objective of INNERVATE is to develop a solution to automatically evaluate the quality of driver maneuver execution and to support drivers with information about the parts of the maneuver where they have made mistakes. This involves the evaluation of measurement series, finding errors, and explaining what needs to be done to avoid these errors. In addition, it should be possible to generate valid measurement series from partially correctly executed maneuvers.
Project management at the H-BRS
Professor im Ruhestand / retired professor Dr. Paul G. Plöger
Researchers from all disciplines are confronted with increasingly large amounts of data. The newly founded Rhine-Ruhr Center for data literacy (DKZ.2R) has set itself the goal of supporting and promoting researchers from a variety of research disciplines with regard to increasingly complex data analysis, data management and high-performance computing.
Project management at the H-BRS
Prof. Dr Sebastian Houben
The "Digital Twin-4-Multiphysics Lab" (DT4MP) focuses on urban digital twins (UDTs) and multiphysics twins for industry, treating both areas equally and synergistically. By integrating real-time data and advanced simulations, DT4MP enhances urban processes, infrastructures, and industrial production efficiency. Combining AI and machine learning, the lab provides services like data analysis and virtual testing for SMEs and larger companies. Founded by leading institutes, DT4MP drives digitalization research in urban and industrial contexts.
Project management at the H-BRS
Prof. Dr Sebastian Houben Prof. Dr Dirk Reith Dr Alexander Hagg
The Garrulus project aims to develop a fast, reliable and cost-effective method for the reforestation and monitoring of damaged forest areas in Germany. The automated direct seeding of trees offers a good opportunity to grow site-adapted and resilient trees. To this end, the sowing should be targeted at locations with the best possible conditions. Technologies such as drones and artificial intelligence should make the efficiency and effectiveness of direct seeding viable through precise seed planning, targeted drone seeding and subsequent regeneration monitoring.
Project management at the H-BRS
Prof. Dr Alexander Asteroth Prof. Dr Sebastian Houben
Publications