Assessing Quality Metrics for Neural Reality Gap Input Mitigation in Autonomous Driving Testing

Replication package of the paper "Assessing Quality Metrics for Neural Reality Gap Input Mitigation in Autonomous Driving Testing" by S.C. Lambertenghi and A. Stocco, published in the proceedings of the 17th IEEE International Conference on Software Testing, Verification and Validation (ICST 2024).

A preprint of the paper can be found on here.

Reference

If you use our work in your research, or it helps it, or if you simply like it, please cite it in your publications. Here is an example BibTeX entry:

@inproceedings{2024-Lambertenghi-ICST, 
  author = {Stefano Carlo Lambertenghi and Andrea Stocco},
  title = {Assessing Quality Metrics for Neural Reality Gap Input Mitigation in Autonomous Driving Testing},
  year = {2024},
  booktitle = {Proceedings of 17th IEEE International Conference on Software Testing, Verification and Validation},
  series = {ICST '24},
  publisher = {IEEE}
}