Helge Spieker

Towards Trustworthy Automated Driving through Qualitative Scene Understanding and Explanations

2024 · arXiv (Cornell University)

Understanding driving scenes and communicating automated vehicle decisions are key requirements for trustworthy automated driving. In this article, we introduce the Qualitative Explainable Graph (QXG), which is a unified symbolic and qualitative representation for scene …

Trustworthy Automated Driving Through Qualitative Scene Understanding and Explanations

2025 · Lecture notes in mobility

Abstract We present the Qualitative Explainable Graph (QXG): a unified symbolic and qualitative representation for scene understanding in urban mobility. QXG enables interpreting an automated vehicle’s environment using sensor data and machine learning models. It …

Explainable Scene Understanding with Qualitative Representations and Graph Neural Networks

2025 · arXiv (Cornell University)

This paper investigates the integration of graph neural networks (GNNs) with Qualitative Explainable Graphs (QXGs) for scene understanding in automated driving. Scene understanding is the basis for any further reactive or proactive decision-making. Scene understanding …

In the Search for Truth: Refining and Exploring Variability in Neuroimaging Pipelines

2026 · HAL (Le Centre pour la Communication Scientifique Directe)

Neuroimaging pipelines can be designed as highly configurable software workflows whose variants may produce different analysis results and scientific conclusions. Managing this analytical variability is particularly challenging because outputs are complex, high-dimensional brain maps and …