Secure, Autonomous and AI-Based Systems
Secure, Autonomous and AI-Based Systems
The digital transformation and expansion of cyber-physical systems increasingly require more collaborative solutions and human-machine interaction. Cognitive computing also increases the autonomy of systems (e.g. autonomous vehicles and flying objects). At the same time, it also poses challenges in communication and interface design between components and systems, data acquisition and analysis using artificial intelligence (e.g. Big Data, machine learning), and IT security.
Research in this area is conducted primarily at the Affective and Cognitive Institute (ACI), Institute for Machine Learning and Analytics (IMLA), Institute for Unmanned Aerial Systems (IUAS), and the Institute of Reliable Embedded Systems and Communication Electronics (ivESK).
Title | Hochzuverlässige Elektroniksysteme für intelligente Fahrzeuge - Prystine |
Short Name | Prystine |
Short Description | Autonomous driving stands out as having the potential to disruptively change the automotive industry as we know it today. PRYSTINE will realize Fail-operational Urban Surround perceptION (FUSION) which is based on robust Radar and LiDAR sensor fusion and control functions in order to enable safe automated driving in urban and rural environments. The subproject of Offenburg University aims to design the system architecture of radar sensors based on identified scenarios. |
Year Of Acquisition | 2019 |
Start Date | 2019-04-15 |
End Date | 2021-10-31 |
Project Managers | Harter, Marlene, Prof. Dr. |
Faculties | EMI |
Institution | IUAS |