Projects and products

The mobile version of the Digital Map Table offers many advantages.

In the KARLI project, IOSB is developing occupant state detectors for interactions in the vehicle interior.

Adhering to data protection and securely documenting critical work steps - 4Crypt Video and the flexible authentication procedure make it possible.

The Competence Center for Applied Security Technology (KASTEL) is one of three competence centers for cyber security in Germany, which were initiated in March 2011.

The XAI toolbox developed by Fraunhofer IOSB is designed with AI explainability at its core. It enables the swift evaluation of various XAI methods for AI procedures.

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

The internally financed MUSAL research project is dedicated to the challenge of conceptualizing and implementing so they can contribute to a holistic description of the existing situation.

PrognoSF aims to accurately predict local flash floods by analyzing all available data sources with AI-based algorithms.

Cyber resilience is seen as the next step in IT security and focuses primarily on incident response and restoring process capability. Appropriate monitoring of process-carrying automation systems and infrastructures is necessary to achieve cyber resilience.

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.

Das Projekt CC-King hat sich zum Ziel gesetzt, KI-Spitzenforschung mit etablierten Ingenieurdisziplinen zu verbinden. Hierdurch sollen KI-Methoden und maschinelle Lernverfahren (ML) entsprechend den typischen Anforderungen und Vorgehensweisen von Ingenieuren nutzbar gemacht werden.

AKIT is researching a new type of recovery chain consisting of a highly automated recovery vehicle, support shuttle and communication components.

Our Advanced Occupant Monitoring System detects the driver and all occupants of a vehicle to distinguish between different activities and detect critical situations.

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.

The Digital Map Table - a new approach in the shared situation visualization and analysis.

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.

The topic of the "Wolverine" project is data integration and evaluation for medical applications.

Karlsruhe and its surroundings are becoming a test field for autonomous vehicles.

Modern harvesting machines are complex systems that can be configured in many different ways. For example, countless individual parameters can be set by adjusting the sieves, threshing drum speed, vehicle speed, fan power and much more. The BMBF project AGATA is investigating how an optimal configuration can be found here to make the machines as efficient as possible for each field.

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