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Prof. Dr. Galia Weidl

Projects

Publications

  • Kranthi Kumar Talluri, Christopher Stang, Galia Weidl, 2025. Green Wave as an Integral Part for the Optimization of Traffic Efficiency and Safety: A Survey. IEEE. S. 2422 — 2429.
  • Kranthi Kumar Talluri, Galia Weidl, Vaishnavi Kasuluru, 2025. Accident-Driven Congestion Prediction and Simulation: An Explainable Framework Using Advanced Clustering and Bayesian Networks.
  • Kranthi Kumar Talluri, Anders L. Madsen, Galia Weidl, 2025. Enhancing Safety Standards in Automated Systems Using Dynamic Bayesian Networks.
  • Mohamad Mofeed Chaar, Jamal Raiyn, Galia Weidl, 2025. Predicting Depth Maps from Single RGB Images and Addressing Missing Information in Depth Estimation. SCITEPRESS - Science and Technology Publications. S. 549 — 556.
  • Jamal Raiyn, Galia Weidl, 2024. Predicting Autonomous Driving Behavior through Human Factor Considerations in Safety-Critical Events. In: Smart Cities. 7(1), S. 460 — 474.
  • Galia Weidl, Stefan Berres, Anders L. Madsen, Johannes Daxenberger, Anegret Aulbach, 2024. Exploring Argument Mining and Bayesian Networks for Assessing Topics for City Project Proposals. S. 438 — 451.
  • Anders L. Madsen, Galia Weidl, 2024. Bayes’sche Netze als Methode zur Implementierung transparenter, erklärbarer und vertrauenswürdiger Künstlicher Intelligenz. Hrsg. Vertrauen in Künstliche Intelligenz - Eine multi-perspektivische Betrachtung Springer Verlag. S. 139 — 162.
  • Jamal Raiyn, Mohamad Mofeed Chaar, Galia Weidl, 2024. Analysis of Driving Behavior in Adverse Weather Conditions.
  • Mohamad Mofeed Chaar, Jamal Raiyn, Galia Weidl, 2024. Improving the Perception of Objects under Foggy Conditions in the Surrounding Environment.
  • Jamal Raiyn, Galia Weidl, 2024. Assessing Inattentiveness and Human Elements in Critical Driving Safety Events.