Abstract
The rising popularity of autonomous cars is asking for a safe testbed, but real-world testing is costly and dangerous while simulation-based testing is too abstract. Therefore, a hybrid simulator is needed in which a real car can interact with many simulated cars. Such a simulator already exists, but is far from scalable due to a centralised architecture, thus not deployable on many vehicles. Therefore, this paper presents a more distributed and scalable architecture that solves this problem. We assessed the overall performance and scalability of the new system by conducting four experiments using a 1/10th scale car. The results show that this new distributed architecture outperforms the previous approach in terms of overall performance and scalability, thus paving the way to a safe, cost-efficient and hyper scalable testing environment.
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de Hoog, J., Pepermans, M., Mercelis, S., Hellinckx, P. (2019). Towards a Scalable Distributed Real-Time Hybrid Simulator for Autonomous Vehicles. In: Xhafa, F., Leu, FY., Ficco, M., Yang, CT. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 24. Springer, Cham. https://doi.org/10.1007/978-3-030-02607-3_41
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DOI: https://doi.org/10.1007/978-3-030-02607-3_41
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