Author

Anne Stockem Novo

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Open access Aug 2026

Physics-informed deep learning for robust trajectory prediction in automated driving

Planning a safe, comfortable, and energy-efficient ego-vehicle trajectory is fundamental for automated driving. Efficiency reduces emissions, while safety protects occupants and vulnerable road users. Purely data-driven models, however, struggle with robustness and out-of-distribution scenarios, especially for rare edg...

Anne Stockem Novo · Scientific Reports · 0 citations

#explainable ai Open access Oct 2026

Concept bottleneck models and integrated gradients for efficient and interpretable pedestrian crossing intention estimation

Traditional system testing relies on predefined scenarios and handcrafted rules, whereby the system output is tested against requirements. However, this approach is not scalable and therefore not feasible when testing complex AI systems. Human understandable explanations of the model decisions are required and must be...

Anne Stockem Novo · Scientific Reports · 0 citations