Journal article

Concepts for improved availability and computational power in automated driving

S Grubmueller, G Stettinger, D Nesic, D Watzenig

ELEKTROTECHNIK UND INFORMATIONSTECHNIK | SPRINGER WIEN | Published : 2018

Abstract

Automated vehicles are required to operate on highways and in complex urban scenarios. To safely handle these complex environmental influences, sophisticated automated driving functions demand a high availability of all involved components in combination with increased computational power. Particular multi-core platforms are deployed to cope with these demands. To achieve higher system availability for SAE level 3 and higher, fail operational concepts from system level down to Microcontroller Unit (MCU) level are needed. These concepts include hardware as well as software requirements and are discussed in this paper. For an increased computing performance, the idea and further the model of a..

View full abstract

Grants

Awarded by Electronic Component Systems for European Leadership Joint Undertaking


Awarded by Australian Research Council


Funding Acknowledgements

Open access funding provided by Graz University of Technology. This project received funding from the Electronic Component Systems for European Leadership Joint Undertaking under grant agreement No. 737469 (AutoDrive Project). This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation programme and Germany, Austria, Spain, Italy, Latvia, Belgium, Netherlands, Sweden, Finland, Lithuania, Czech Republic, Romania, Norway. In Austria the project was also funded by the program "IKT der Zukunft" and the Austrian Federal Ministry for Transport, Innovation and Technology (bmvit). The publication was written at VIRTUAL VEHICLE Research Center in Graz and partially funded by the COMET K2 - Competence Centers for Excellent Technologies Programme of the Federal Ministry for Transport, Innovation and Technology (bmvit), the Federal Ministry for Digital, Business and Enterprise (bmdw), the Austrian Research Promotion Agency (FFG), the Province of Styria and the Styrian Business Promotion Agency (SFG).D. Nesic work was supported under the Australian Research Council under the Discovery Project DP170104099.