ADA Lovelace Center for Analytics, Data and Applications
The Fraunhofer IKS participates in the ADA Lovelace Center for Analytics, Data and Applications. This is a cooperation platform on data analytics for science and industry in Bavaria. The aim is to develop new data analytics methods and algorithms in AI applications.
In the Cloud-based Industrial Services (CICS) project the Fraunhofer IKS (former Fraunhofer ESK) researchers shape the production steering to be interoperable and flexible, by transferring part of it into the cloud.
Continental and Fraunhofer IKS make autonomous vehicles safer
Together with Continental, Fraunhofer IKS was able to create a concept for the dynamic distribution of vehicle functions and develop a technical safety concept that describes an implementation of the identified safety requirements.
Description and Analysis of Networked Applications
As part of the DANA project, researchers at Fraunhofer IKS (former Fraunhofer ESK) are working to create an open and expandable tool platform supporting the complete development process of automobile infotainment and driver assistance systems.
ezCar2X®: Streamlining Application Development for Networked Vehicles
Future vehicles will be able to share information in real-time. Therefore, Fraunhofer IKS (former Fraunhofer ESK) developed the flexible ezCar2x® software framework, which provides the key components needed to rapidly create prototype applications for networking vehicles.
Because the number of ECUs for integrating new functions cannot be increased at will, new concepts are required that will allow more flexible mapping of functions to the ECUs. Therefore, Fraunhofer IKS researchers (former Fraunhofer ESK) are actively working on self-adaptive E/E system concepts.
In a joint project, equipment manufacturer Holmer, telecommunications manufacturer Huawei and Fraunhofer IKS (former Fraunhofer ESK) succeeded in transferring the predictive maintenance method to a fleet of highlycomplex harvesting machines.
Heterogeneous Networks for Real Time Multimodal Mobility
In project TIMON Fraunhofer IKS (former Fraunhofer ESK) together with partners from seven other European countries aim to increase safety, sustainability, flexibility and efficiency of road transport systems by leveraging data from a diverse set of sources, i.e. open transport data, infrastructure sensors, data generated by drivers and vulnerable road users (VRUs).
Noncontact health monitoring of infectious patient groups
Sensors can be used to monitor health data of infectious patients without contact. This minimizes the risk of infection for the nursing staff. Together with Airbus, the Fraunhofer IKS is testing an ear sensor to ensure that it is safe enough for use in hospitals.
Resource-Adaptive Mobile Assistance System for Complex Agriculture Machines
As part of the INVIA project, seven partners are working to design an innovative, cloud-based mobile assistance system for diagnosing and servicing complex agriculture machines and implement it in a prototype environment.
Safe Adaptive Software for Fully Electric Vehicles
Within the EU-funded project SafeAdapt, a consortium of 9 partners from six European countries is making innovative changes to the E/E architecture, which will reduce the complexity of the system and raise the cost and energy efficiency.
Electric vehicles should be flexible and adaptable. In the project Adaptive City Mobility 2 Fraunhofer IKS researchers are developing an ICT infrastructure that enables individualized user interfaces and multimodal vehicle use.