Projects and products

The aim of the project is to make the operation of drones safer - by connecting U-Space to data sources on relevant hazard information, including monitoring drone statuses, AI-based decision support and communication concepts.

ArGUS detects unmanned flight systems and generates deployment proposals for legally secured countermeasures.

A project of the same name aims to harness our experience across a whole host of AI application domains to realize MLOps with maximum effectiveness and automate it as far as possible. To that end a software suite was developed that incorporates a wide range of tools for creating machine learning applications and training the ML models.

The HUGIN project set itself the goal of researching and improving the collaboration and cooperation of intelligent, autonomous watercraft. Algorithms and technologies from a wide range of areas, such as artificial intelligence, data analysis and control technology, were integrated in such a way that the overall demonstrator, consisting of several vehicles, was able to plan missions independently in various scenarios and execute them in a resource-optimized manner.

Multisensory system for AI-based drone detection and classification with situation visualization.

The networked maritime surveillance and reconnaissance mission of the future is the focus of the European joint research project OCEAN2020. The goal is to generate a comprehensive maritime situation picture based on established as well as new technologies. Fraunhofer IOSB is contributing its expertise in the field of underwater drones and maritime situation analysis.

Fraunhofer IOSB has developed an autonomous surface vehicle that autonomously takes measurements above and below the water to generate associated 3D maps.

Solutions and standardization proposals that enable interoperability of unmanned systems and their control stations.

Korruption verursacht erheblichen Schaden, aber ihre Bewältigung und Eindämmung sind schwierig. Im Horizon-Europe-Projekt »FALCON« arbeiten 25 Partner aus 15 Ländern gemeinsam an einem interdisziplinären, evidenzbasierten und datengesteuerten Ansatz, um Korruption und organisierte Kriminalitätsnetzwerke zu bekämpfen.

The Common Learning Middleware (CLM) makes it possible to combine different teaching/learning technologies in a common infrastructure.