Papers, articles, research results, videos and press materials from the Safe AI Engineering consortium.
Paper
- Manuel Schwonberg, Hanno Gottschalk: Domain Generalization for Semantic Segmentation: A Survey, Safe Artificial Intelligence for All Domains (SAIAD) at IEEE / CVF Computer Vision and Pattern
Recognition Conference (CVPR), Nashville, USA, 12.06.2025 - Kira Maag, Tobias J. Riedlinger, Hanno Gottschalk: Towards Reliable Detection of Empty Space: Conditional Marked Point Processes for Object Detection, ICLR 2026, Rio de Janeiro, Brasil, 23.–27.04.2026
- Liangyu Zhong, Fabio Rosenthal, Joachim Sicking, Fabian Hüger, Thorsten Bagdonat, Hanno Gottschalk, Leo Schwinn: FOCUS: Internal MLLM Representations for Efficient Fine-Grained Visual Question Answering, NeurIPS 2025, San Diego, USA, 02.–07.12.2025
- Ahmed Abouelazm, Johannes Ratz, Philip Schörner, J. Marius Zöllner: Diverse and Adaptive Behavior Curriculum for Autonomous Driving: A Student-Teacher Framework with Multi-Agent RL, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hangzhou, China, 19.10.2025
- Ahmed Abouelazm, Mohammad Mahmoud, Conrad Walter, Oleksandr Shchetsura, Erne Hussong, Helen Gremmelmaier, J. Marius Zöllner: Bridging Simulation and Usability: A User-Friendly Framework for Scenario Generation in CARLA, IEEE International Automated Vehicle Validation Conference (IAVVC), Baden-Baden, Germany, 30.09.–02.10.2025
- Thomas Geipel et al.: Using AI in Opportunity and Idea Management (ISO 56007) – Experiences of the Automotive Skills Alliance Innovation Agent Working Group, EuroSPI2025, Riga, Latvia, 17.09.25
- Franz Motzkus, Christian Schlauch, Sebastian Bernhard, Ute Schmid: Can I Trust My Trajectory Prediction Model?, Trust-AI Workshop, Bologna, Italy, 25.–27.10.2025
Project Material
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