Publications

Articles and presentations from the
consortium on the just better DATA project

Publications

Articles and presentations from the consortium on the Just Better DATA project

Publications

  1. Daniel Bogdoll, Lukas Bosch, Tim Joseph, Helen Gremmelmaier, Yitian Yang, J. Marius Zöllner
    Exploring the Potential of World Models for Anomaly Detection in Autonomous Driving
    In: 2023 IEEE Symposium Series on Computational Intelligence (SSCI)

  2. Philipp Rigoll, Jacob Langner, Eric Sax: Unveiling Objects with SOLA: An Annotation-Free Image Search on the Object Level for Automotive Data Sets, IEEE IV 2024, 04.-06.06.2024

  3. Philipp Rigoll, Laurenz Adolph, Lennart Ries ,Eric Sax: CLIPping the Limits: Finding the Sweet Spot for Relevant Images in Automated Driving Systems Perception Testing , ITSC 2024, 24.-27. Sep. 2024

  4. Daniel Bogdoll et al: AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous Driving, Sept 2024

  5. Daniel Bogdoll: MUVO: A Multimodal Generative World Model for Autonomous Driving with Geometric Representations, Sept 2024

  6. Marc Uecker Prof. Dr. J. Marius Zöllner: Can you see me now? Blind spot estimation for autonomous vehicles using scenario-based simulation with random reference sensors, IEEE IV 2024, Jeju, South Korea, 2.-5.6.2024 

  7. Philipp Reis, Philipp Rigoll, Eric Sax: Behavior Forests: Real-Time Discovery of Dynamic Behavior for Data Selection, Canada, Edmonton, 24.-27.9.2024

  8. Daniel Bogdoll, Jan Imhof, Tim Joseph, J. Marius Zöllner: Hybrid Video Anomaly Detection for Anomalous Scenarios in Autonomous Driving, Conference on Robot Learning, Munich, 6.11.24

  9. Daniel Bogdoll, Noël Ollick, Tim Joseph, J. Marius Zöllner: UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving, CoRL 2024, Munich, 6.11.24

  10. Pascal Zwick, Kevin Rösch, Marvin Klemp, and Oliver Bringmann: Context-Aware Full Body Anonymization using Text-to-Image Diffusion Models, European Conference on Computer Vision ECCV, Mailand, 29.09.24

  11. Youssef Shoeb, Nazir Nayal, Azarm Nowzard, Fatma Güney, Hanno Gottschalk: Segment-Level Road Obstacle Detection Using Visual Foundation Model Priors and Likelihood Ratios, Porto, Portugal, 26.2.25

  12. Nazir Nayal, Youssef Shoeb, Fatma Güney: A Likelihood Ratio-Based Approach to Segmenting Unknown Objects, International Journal of Computer Vision (IJCV), 2024
  13. Robert Aufschläger, Sebastian Wilhelm, Michael Heigl, Martin Schramm: ClustEm4Ano: Clustering Text Embeddings of Nominal Textual Attributes for Microdata Anonymization, IDEAS 2024, Bayonne, France, 27.8.24

Project material

No project material is available at the moment.

© 2025

just better DATA is a project of the KI Familie. It was initiated and developed by the VDA Leitinitiative autonomous and connected driving and is funded by the Federal Ministry for Economic Affairs and Climate Action.

2025 © just better DATA

just better DATA is a project of the KI Familie. It was initiated and developed by the VDA Leitinitiative autonomous and connected driving and is funded by the Federal Ministry for Economic Affairs and Climate Action.

2025 © just better DATA
Scroll to Top