WOGAN at the SBST 2022 CPS Tool Competition
arXiv:2205.11064v115 citationsh-index: 27
Originality Synthesis-oriented
AI Analysis
This is an incremental improvement for testing cyber-physical systems, specifically self-driving cars.
The paper tackled the problem of online test generation for self-driving car AI using WOGAN, a Wasserstein GAN-based algorithm, and reported its performance in the SBST 2022 CPS tool competition.
WOGAN is an online test generation algorithm based on Wasserstein generative adversarial networks. In this note, we present how WOGAN works and summarize its performance in the SBST 2022 CPS tool competition concerning the AI of a self-driving car.