Baron W, Sippl C, Hielscher KS, German R (2020)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2020
Pages Range: 1-7
Conference Proceedings Title: Proceedings of the 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)
ISBN: 978-1-7281-5207-3
URI: https://ieeexplore.ieee.org/abstract/document/9129208
DOI: 10.1109/VTC2020-Spring48590.2020.9129208
The development and testing of automated driving functions in the real world is costly and time-consuming. For this reason, software for automated driving is at first developed and tested in a virtual environment. The provision of the virtual environment requires the coupling of several simulation tools and models. The result is a co-simulation with a feedback loop from the automated driving function to the virtual environment, that does not necessarily exhibit deterministic behavior. However, determinism is a desirable property for developers to be able to analyze the automated driving function and for testers to be able to implement test automation. This paper identifies sources of non-determinism in co-simulation setups for automated driving and proposes a master-less coupling approach that allows repeatable executions. The results are demonstrated using an exemplary driving scenario and compared to a traditional coupling method that uses physical clock synchronization. The presented approach adds some overhead to the simulation modeling and execution, but ensures repeatable simulation results in any case.
APA:
Baron, W., Sippl, C., Hielscher, K.-S., & German, R. (2020). Repeatable Simulation for Highly Automated Driving Development and Testing. In IEEE (Eds.), Proceedings of the 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring) (pp. 1-7). Antwerp, BE.
MLA:
Baron, Wojciech, et al. "Repeatable Simulation for Highly Automated Driving Development and Testing." Proceedings of the 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), Antwerp Ed. IEEE, 2020. 1-7.
BibTeX: Download