Synchronization of Hybrid Models in the Automated Driving Simulation

Baron W, Sippl C, Hielscher KS, German R (2022)


Publication Type: Conference contribution

Publication year: 2022

Publisher: Institute of Electrical and Electronics Engineers Inc.

Book Volume: 2022-June

Conference Proceedings Title: IEEE Vehicular Technology Conference

Event location: Helsinki FI

ISBN: 9781665482431

DOI: 10.1109/VTC2022-Spring54318.2022.9860798

Abstract

Developing and testing automated driving functions on public roads or proving grounds is time-consuming and expensive. Driving in virtual environments is increasingly seen as an eligible approach to counteract these drawbacks. The virtual environment is provided by one or more simulation tools and is coupled with software modules of the automated driving function. This results in a feedback loop that controls a virtual vehicle. Since simulation runs are carried out on off-the-shelf computers, determinism issues may occur due to race conditions. However, determinism is a desirable property in order to be able to reasonably benchmark the automated driving function. This work identifies execution patterns of software modules and shows how they can be synchronized by means of mapping to discrete event semantics. The resulting simulation setup produces repeatable results independent of the available computing and network power. The results are demonstrated using an exemplary driving scenario and compared to paced real-time simulation.

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How to cite

APA:

Baron, W., Sippl, C., Hielscher, K.-S., & German, R. (2022). Synchronization of Hybrid Models in the Automated Driving Simulation. In IEEE Vehicular Technology Conference. Helsinki, FI: Institute of Electrical and Electronics Engineers Inc..

MLA:

Baron, Wojciech, et al. "Synchronization of Hybrid Models in the Automated Driving Simulation." Proceedings of the 95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring, Helsinki Institute of Electrical and Electronics Engineers Inc., 2022.

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