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For Robert Bosch GmbH, Fraunhofer IESE analyzed the functional safety of the Retrofit Efficiency Module retrofit solution for logistics companies based on ISO 26262.

Fraunhofer IESE crafted a specialized tool for Robert Bosch GmbH that streamlines change impact analysis. This solution equips developers of critical systems with a comprehensive understanding of the dependencies affected by incoming change, enabling more effective prioritization of modifications to reduce subsequent impacts and accelerate the development process.

Runtime verification safety engineering methodology and proof of concept for a connected autonomous shuttle at pedestrian crossings in a Bus Rapid Transit (BRT) system.

In the project EURIDICE, Fraunhofer IESE is developing knowledge content on Digital Ecosystems and, together with European universities, start-ups, and research institutions, is building a network for the exchange of knowledge content on digital technologies.

In the publicly funded project Bridge-Up, Fraunhofer IESE is collaborating with the University of Bonn to develop a solution for implementing data provider rights and data trustee obligations – to promote data provider participation in trustee models.

In the project DeepQuali, Fraunhofer IESE is collaborating with its project partners to develop an AI-based tool that checks and evaluates software quality.

In the lighthouse project “RNAuto”, seven Fraunhofer Institutes are collaborating to develop automated production technologies for mRNA-based medicinal products. The consortium bundles interdisciplinary competencies from the fields of medicine, biology, and engineering sciences.

In the new ICON research project “LOPAAS” (Layers of Protection Architecture for Autonomous Systems), Fraunhofer IESE is collaborating with Fraunhofer IKS and the University of York in England in the Assuring Autonomy International Programme (AAIP) to develop an approach to assuring the safety of autonomous systems and, in particular, autonomous vehicles.

In the project VALU3S, Fraunhofer IESE is collaborating with partners from research and industry to verify and validate the safety and security of automated systems.

In the publicly funded project Memtonomy-2, Fraunhofer IESE is collaborating with project partners from industry and research on new memory systems for autonomous driving.