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.
CITATION STYLE
de Hoog, J., Pepermans, M., Mercelis, S., & Hellinckx, P. (2019). Towards a scalable distributed real-time hybrid simulator for autonomous vehicles. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 24, pp. 447–456). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-02607-3_41
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