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Research Challenges for a Future-Proof E/E Architecture - A Project Statement


During the last decades, the functional power and complexity of automotive E/E architectures grew radically and is going to grow further. We identified two key factors namely autonomy and intelligence. Both pose research challenges for the next generation E/E architecture. We aim to tackle the design challenges with methods and technologies. We propose in this project statement to use a service-oriented architecture on top of an in-vehicle communication network based on time-sensitive networking. Moreover, a rigor risk analysis and mitigation approach enables synthesis of a safety controller. A learning architecture facilitates a shift towards user centralization by proactively adapting functions according to user profiles. In addition, further functions might need to be learned at run-time.


Kugele, Stefan; Cebotari, Vadim; Gleirscher, Mario; Hashemi, Morteza; Segler, Christoph; Shafaei, Sina; Vögel, Hans-Jörg; Bauer, Fridolin; Knoll, Alois; Marmsoler, Diego; Michel, Hans-Ulrich (2017): Research Challenges for a Future-Proof E/E Architecture - A Project Statement. INFORMATIK 2017. DOI: 10.18420/in2017_146. Gesellschaft für Informatik, Bonn. PISSN: 1617-5468. ISBN: 978-3-88579-669-5. pp. 1463-1474. ASE – 15. Workshop Automotive Software Engineering. Chemnitz. 25.-29. September 2017