ScenarioGenerator

ScenarioGenerator performs search-based software testing by automatic generation of various traffic scenarios in simulator to verify and validate the intended performance of ML based components in CPS systems.
Developed

ScenarioGenerator performs search-based software testing of machine learning based perception system by automatic generation of various traffic scenarios in simulator to verify and validate the safety functionality of autonomous systems.

Developed from the scratch

https://github.com/ebadi/scenariogenerator

H. Ebadi, M. H. Moghadam, M. Borg, G. Gay, A. Fontes and K. Socha, "Efficient and Effective Generation of Test Cases for Pedestrian Detection - Search-based Software Testing of Baidu Apollo in SVL," 2021 IEEE International Conference on Artificial Intelligence Testing (AITest), 2021, pp. 103-110, doi: 10.1109/AITEST52744.2021.00030.

Relationships with other web-repo artefacts
Improvement Classification
Accuracy of simulated sensor output, Simulation environment functionality, Simulation environment quality
Open source - Goals
Yes
Safety
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