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Weiss, G. (2023) „How autonomous systems become reality – Operational Design Domains for Highly Automated Functions of Embedded Systems“, In Proceedings of Embedded Software Engineering (ESE) Kongress 2023.

Decker, T., Bhattarai, A.R., Lebacher, M. (2023). Towards Scenario-Based Safety Validation for Autonomous Trains with Deep Generative Models. In: Guiochet, J., Tonetta, S., Bitsch, F. (eds) Computer Safety, Reliability, and Security. SAFECOMP 2023. Lecture Notes in Computer Science, vol 14181. Springer, Cham.

Schwaiger, F., Matic, A., Roscher, K., & Günnemann, S. (2023). Preventing Errors in Person Detection: A Part-Based Self-Monitoring Framework. arXiv preprint arXiv:2307.04533. Link:

Zeller, M., Rothfelder, M., & Klein, C. (2023, May). safe. trAIn–Engineering and Assurance of a Driverless Regional Train. In 2023 IEEE/ACM 2nd International Conference on AI Engineering–Software Engineering for AI (CAIN) (pp. 197-197). IEEE.

Koenig, A., Schambach M., Otterbach J. (2023). Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic Segmentation. In: Workshop on Safe Artificial Intelligence for All Domains at IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR).

Zeller, M., Sorokos, I., Reich, J., Adler, R., & Schneider, D. (2023, January). Open Dependability Exchange Metamodel: A Format to Exchange Safety Information. In 2023 Annual Reliability and Maintainability Symposium (RAMS) (pp. 1-7). IEEE.

Zeller, M., Waschulzik, T., Schmid, R., & Bahlmann, C. (2023). Towards a safe MLOps Process for the Continuous Development and Safety Assurance of ML-based Systems in the Railway Domain. arXiv arXiv:2307.02867 Link:

Geerkens, S., Sieberichs, C., Braun, A., Waschulzik, T. (2023). QI² – an Interactive Tool for Data Quality Assurance. arXiv arXiv:2307.03419 Link:

Sieberichs, C., Geerkens, S., Braun, A., Waschulzik, T. (2023). ECS – an Interactive Tool for Data Quality Assurance. arXiv arXiv:2307.04368 Link:

Gannamaneni, S. S., Mock, M., & Akila, M. (2023). Assessing Systematic Weaknesses of DNNs using Counterfactuals. arXiv preprint arXiv:2308.01614 Link:


Zeller, M. (2022). Component Fault and Deficiency Tree (CFDT): Combining Functional Safety and SOTIF Analysis. In: Seguin, C., Zeller, M., Prosvirnova, T. (eds) Model-Based Safety and Assessment. IMBSA 2022. Lecture Notes in Computer Science, vol 13525. Springer, Cham.

Schleiss, P., Carella, F., & Kurzidem, I. (2022, November). Towards continuous safety assurance for autonomous systems. In 2022 6th International Conference on System Reliability and Safety (ICSRS) (pp. 457-462). IEEE.

Schleiss, P., Hagiwara, Y., Kurzidem, I., & Carella, F. (2022, October). Towards the quantitative verification of deep learning for safe perception. In 2022 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) (pp. 208-215). IEEE.

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Das Projekt wird von Bundesministerium für Wirtschaft und Klimaschutz im Rahmen des Fachprogramms „Neue Fahrzeug- und Systemtechnologien“ gefördert.

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