Name
Title | ||
|---|---|---|
Autonomous Driving System Verification Framework with FMI Co-Simulation based on OMG DDS |
Abstract | ||
|---|---|---|
With the advent of autonomous driving systems, the system verification has great importance for the safety. Since the engineers usually make highly accurate simulations, they require massive computing resources. In addition, they should develop the trustable test scenarios and the evaluation metrics, which may be difficult and time-consuming issues. In this paper, we propose an autonomous driving system verification framework, which can efficiently support cost-effective simulation by means of FMI/DDS and cloud computing. Some formal assessment methods including quantitative evaluation metrics will be given in order to make easy verification of the features of the autonomous driving systems. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/ICCE46568.2020.9043010 | 2020 IEEE International Conference on Consumer Electronics (ICCE) |
Keywords | DocType | ISSN |
autonomous driving system verification framework,FMI co-simulation,cost-effective simulation,cloud computing,FMI/DDS,OMG DDS | Conference | 2158-3994 |
ISBN | Citations | PageRank |
978-1-7281-5187-8 | 0 | 0.34 |
References | Authors | |
1 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Deun-Sol Cho | 1 | 0 | 0.34 |
| Seongjin Yun | 2 | 0 | 0.34 |
| Hanjin Kim | 3 | 58 | 7.15 |
| Junhyung Kwon | 4 | 0 | 0.34 |
| Won Tae Kim | 5 | 61 | 12.27 |