Author

Kira Maag

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Preprint Sep 2026

Combining Foundation Model Confidence and Monocular Depth for Training-Free Out-of-Distribution Segmentation

Autonomous vehicles operating in open-world scenarios are inevitably confronted with previously unknown objects, such as exotic animals or loose cargo. The reliable detection and segmentation of these out-of-distribution (OOD) objects is therefore crucial for a safe understanding of the environment and decision-making....

Serin Varghese, Fabian Hüger, Kira Maag · 0 citations

Preprint Aug 2026

Extended Field of View Analysis for VideoGAN-based Trajectory Generation

This paper builds upon previous work on generative adversarial network (GAN)-based semantic bird's-eye-view traffic generation and extends the proposed framework in several key aspects, improving the semantic representation, replacing the trajectory extraction procedure with a graph-based association method, and system...

Annajoyce Mariani, Kira Maag, Hanno Gottschalk · 0 citations