Scientific contributions and publications from KI Data Tooling are listed below:

  1. Konrad Doll: „KI Data Tooling“: Werkzeugkasten für die künstliche Intelligenz im Automobil. In: Sensorik Magazin, Ausgabe 102, 07/2020.
  2. Felix Möller, Diego Botache, Denis Huseljic, Florian Heidecker, Maarten Bieshaar, Bernhard Sick: Out-of-distribution Detection and Generation using Soft Brownian Offset Sampling and Autoencoders. In: arXiv preprint for SAIAD 2021 Workshop “Safe Artificial Intelligence for Automated Driving”.
  3. Jan Schneegans, Maarten Bieshaar, Florian Heidecker, Bernhard Sick: Intelligent and Interactive Video Annotation for Instance Segmentation Using Siamese Neural Networks. In: Pattern Recognition. ICPR International Workshops and Challenges, Virtual Event, 10.-15.01.2021.
  4. Jan Schneegans, Jan Eilbrecht, Stefan Zernetsch, Maarten Bieshaar, Konrad Doll, Olaf Stursberg, Bernhard Sick: Probabilistic VRU Trajectory Forecasting for Model-Predictive PlanningA Case Study: Overtaking Cyclists. In: IEEE IV 2021.
  5. Florian Heidecker, Abdul Hannan, Maarten Bieshaar, Bernhard Sick: Towards Corner Case Detection by Modeling the Uncertainty of Instance Segmentation Networks. In: ICPR 2021: Pattern Recognition. ICPR International Workshops and Challenges.
  6. Florian Heidecker, Jasmin Breitenstein, Kevin Rösch, Jonas Löhdefink, Maarten Bieshaar, Christoph Stiller, Tim Fingscheidt, and Bernhard Sick: An  Application-Driven  Conceptualization  of  Corner  Casesfor  Perception  in  Highly  Automated  Driving. In: 32nd IEEE Intelligent Vehicles Symposium.
  7. Manuel Hetzel, Hannes Reichert, Konrad Doll, Bernhard Sick: Smart Infrastructure: A research junction. In: 7th IEEE International Smart Cities Conference 2021.
  8. Hannes Reichert, Lukas Lang, Kevin Rösch, Daniel Bogdoll, Konrad Doll, Hans-Christian Reuss, Christoph Stiller, J. Marius Zöllner: Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems. In: 7t IEEE International Smart Cities Conference 2021.
  9. Maarten Bieshaar, Stefan Zernetsch, Katharina Riepe, Konrad Doll, Bernhard Sick: Cyclist Motion State Forecasting – Going beyond Detection. In: 24th IEEE International Conference on Intelligent Transportation Systems - ITSC2021, Indianapolis.
  10. Maarten Bieshaar, Marek Herde, Denis Huselijc, Bernhard Sick: A Concept for Highly Automated Pre-Labeling via Cross-Domain Label Transfer for Perception in Autonomous Driving. In: 5th International Workshop on Interactive Adaptive Learning 2021.
  11. Daniel Bogdoll, Jasmin Breitenstein, Florian Heidecker, Maarten Bieshaar, Bernhard Sick, Tim Fingscheidt, J. Marius Zöllner: Description of Corner Cases in Automated Driving: Goals and Challenges. In: ICCV 2021 Workshop on "Embedded and Real-World Computer Vision in Autonomous Driving".
  12. Philipp Rigoll, Patrick Petersen, Jacob Langner, Eric Sax: Parameterizable lidar-assisted traffic sign placement for the augmentation of driving situations with CycleGAN. In: ICSEng 2021: International Conference On Systems Engineering.
  13. Dominik Salles Lukas Lang Martin Kehrer et al.: A Modular Co-Simulation Framework with Open Source Software and Automotive Standards. In: 22. Internationales Stuttgarter Symposium, 15.-16.03.2022.
  14. Philipp Rigoll, Patrick Petersen, Lennart Ries, Jacob Langner und Eric Sax: Augmentation of camera data via Generative Adversarial Networks (GANs) for the validation of automated driving functions. In: 35. VDI Tagung: Fahrerassistenzsysteme und Automatisiertes Fahren, 17.-18.05.2022.
  15. Kamil Kowol, Stefan Bracke, Hanno Gottschalk: A-Eye: Driving with the Eyes of AI for Corner Case Generation. In: 33rd IEEE Intelligent Vehicles Symposium in Aachen, 05.-09.06.2022.
  16. Jonas Löhdefink, Jonas Sitzmann, Andreas Bär, Tim Fingscheidt: Adaptive Bitrate Quantization Scheme Without Codebook for Learned Image Compression. In: CVPR - Workshop, Challenge on Learned Image Compression (CLIC), New Orleans, 19.06.2022.
  17. Jasmin Breitenstein, Tim Fingscheidt: Amodal Cityscapes: A New Dataset, its Generation, and an Amodal Semantic Segmentation Challenge Baseline. In: IV2022, 06.-08.06.2022.
  18. Stefan Zernetsch, Hannes Reichert, Viktor Kreß, Konrad Doll, Bernhard Sick: A Holistic View on Probabilistic Trajectory Forecasting – Case Study: Cyclist Intention Detection. In: IV2022, 06.-08.06.2022.
  19. Daniel Bogdoll, Maximilian Nitsche, J. Marius Zöllner: Anomaly Detection in Autonomous Driving: A Survey. In: CVPR 2022 Workshop on Autonomous Driving, 20.06.2022.
  20. Claudia Drygala, Matthias Rottmann, Hanno Gottschalk: Closing the Domain Gap between Synthetic and Real-world Data for Semantic Segmentation by cGAN. In: Robust Understanding of Street Scenes Using Computer Vision, Zagreb, 22.-23.09.2022.
  21. Jan Schneegans, Maarten Bieshaar, Bernhard Sick: A Practical Evaluation of Active Learning Approaches for Object Detection.
  22. Lukas Lang, Kmeid Saad, Dominik Salles: Automotive Radar Antenna Configurations and their Impact on Machine Learning Approaches: A Case Study. In: Driving Simulation Converence (DSC22), Straßburg, 14.-16.09.2022.
  23. Kira Maag, Robin Chan, Svenja Uhlemeyer, Kamil Kowol, Hanno Gottschalk: Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects In: Asian Conference on Computer Vision (ACCV2022) in Macau SAR, China, 04-08.12.2022
  24. Daniel Bogdoll: One Ontology to Rule Them All: Corner Case Scenarios for Autonomous Driving In:ECCV-SAIAD 2022, Tel Aviv-Yafo, Israel, 23.10.2022
  25. Kamil Kowol, Prof. Stefan Bracke, Prof. Hanno Gottschalk: A-Eye: Driving with the Eyes of AI for Corner Case Generation In: International Conference on Computer-Human Interaction Research and Applications (CHIRA) in Valletta, Malta, 27.-28.10.2022
  26. Jasmin Breitenstein, Jonas Löhdefink, Tim Fingscheidt: Joint Prediction of Amodal and Visible Semantic Segmentation for Automated Driving In: ECCV-AVVision 2022Tel Aviv-Yafo, Israel, 23.10.2022
  27. Philipp Rigoll, Lennart Ries, Eric Sax: Scalable Data Set Distillation for the Development of Automated Driving Functions, ITSC 2022, Macau China, 18.9.-12.10.2022
  28. Maximilian Menke, Thomas Wenzel, Andreas Schwung: AWADA: Foreground-Focused Adversarial Learning for Cross-Domain Object Detection, Computer Vision and Image Understanding
  29. Daniel Bogdoll, Svenja Uhlemeyer, Kamil Kowol: Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey, IV 2023, USA, 04.06.2023

  30. Maximilian Menke, Thomas Wenzel, Andreas Schwung: Improving Cross-Domain Semi-Supervised Object Detection with Adversarial Domain Adaptation, Intelligent Vehicle Symposium, Anchorage, Alaska, USA, 04.-07.06.2023

  31. Marvin Klemp, Kevin Rösch , Royden Wagner, Martin Lauer: LDFA: Latent Diffusion Face Anonymization for Self-driving Applications, CVPR Vancover, 18.06.2023

  32. Hannes Reichert, Manuel Hetzel, Steven Schreck, Konrad Doll, Bernhard Sick: Sensor Equivariance by LiDAR Projection Image, Anchorage Alaska, 04.06.2023

  33. Manuel Hetzel, Hannes Reichert, Günther Reitberger, Erich Fuchs, Konrad Doll, Bernhard Sick: The IMPTC Dataset: An Infrastructural Multi-Person Trajectory and Context Dataset, Anchorage Alaska, 04.06.2023

  34. Kamil Kowol, Stefan Bracke, Hanno Gottschalk: survAIval: Survival Analysis with the Eyes of AI, Communications in Computer and Information Science (CCIS), Springer

  35. Philipp Rigoll, Patrick Petersen, Hanno Stage, Lennart Ries, Eric Sax: Focus on the Challenges: Analysis of a User-friendly Data Search Approach with CLIP in the Automotive Domain, ITSC 2023, Bilbao Spain, 24.-28.09.2023

  36. Isabelle Tülleners, Tobias Moers, Thomas Schulik, Martin Sedlacek: A Semi-Automated Corner Case Detection and Evaluation Pipeline, 25.05.2023

  37. Rupert Polley: Un- and Supervised Inpainting for Aerial Image Segmentation,  ITSC 2023, Bilbao Spain, 24.09.2023

  38. Aditya Kumar Agarwal: Modelling of Epistemic Uncertainty for Active Learning in Deep Detection Neural Network, British Machine Vision Conference 2023, Aberdeen, UK, 20. -24.11.2023

  39. Clemens Schicktanz, Lars Klitzke, Kay Gimm: Microscopic Analysis of the Impact of Congestion on Traffic Safety and Efficiency at a Signalized Intersection: A Case Study, ITSC 2023, Bilbao Spain, 24.09.2023



Here the public KI Data Tooling presentations are listed.



Dr. Hans-Jörg Vögel: KI Data Tooling: Hochautomatisierte Entwicklung datengetriebener Funktionen.

Joint event of the Federal Ministry for Economic Affairs and Energy and the VDA. 02.03.2021.(pdf:3 MB)

Günther Hasna: Real-time Automotive Radar Simulation for Busy Intersection Autonomous Driving Scenarios.

VDI-Tagung Fahrerassistenzsysteme und Automatisiertes Fahren, 17./18.05.2022. (pdf:4 MB)

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