1. How to certify machine learning based safety-critical systems? A systematic literature review;Tambon;Autom. Softw. Eng.,2022
2. Road Vehicles - Safety of the Intended Functionality;ISO,2019
3. Ergo, SMIRK is safe: A safety case for a machine learning component in a pedestrian automatic emergency brake system;Borg,2022
4. The AIQ Meta-Testbed: Pragmatically bridging academic AI testing and industrial Q needs;Borg,2021
5. J. Redmon, S. Divvala, R. Girshick, A. Farhadi, You only look once: Unified, real-time object detection, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016, pp. 779–788.