Abstract
The trends for connected and automated vehicles and their related technologies are radically changing the automotive industry: from engineering automotive systems, through their production and down to their use. All of these phases will be characterized by a high level of dynamism: the driving behavior of automated cars and production processes in a factory will likewise be controlled by learning and adaptive systems that evolve over time to deal with quickly changing tasks and environments. Automated cars on the roads and robots in factories are both highly mobile and need to collaborate in dynamic neighborhoods. What are the ICT infrastructures and engineering methods that are required to build such highly dynamic but at the same time trustworthy autonomous systems? In this position paper we argue that in the context of infrastructure, a “Decimeter Internet” will be needed that offers low-enough communication latencies, adequately accurate localization plus update rates equal to the task of dependably controlling mobile cars and robots at decimeter level. With respect to engineering methods, we argue the strong need for approaches, which will ensure the dependability of learning and adaptive systems that change their behavior during runtime.
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Acknowledgements
This work is supported by the DRIVES and the IOT4CPS project. The authors gratefully acknowledge the support of the Austrian Research Promotion Agency (FFG) (#6112792). Further, the Development and Research on Innovative Vocational Educational Skills project (DRIVES) is co-funded by the Erasmus+ Programme of the European Union under the agreement 591988-EPP-1-2017-1-CZ-EPPKA2-SSA-B.
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Macher, G., Diwold, K., Veledar, O., Armengaud, E., Römer, K. (2019). The Quest for Infrastructures and Engineering Methods Enabling Highly Dynamic Autonomous Systems. In: Walker, A., O'Connor, R., Messnarz, R. (eds) Systems, Software and Services Process Improvement. EuroSPI 2019. Communications in Computer and Information Science, vol 1060. Springer, Cham. https://doi.org/10.1007/978-3-030-28005-5_2
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