Artikel und Präsentationen aus dem Konsortium zum Projekt just better DATA


Artikel und Präsentationen aus dem Konsortium zum Projekt Just Better Data


  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 


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