Mid-Term
Deliverables
Nachstehend werden wissenschaftliche Beiträge und Veröffentlichungen aus dem Projekt KI Data Tooling aufgeführt.
- Konrad Doll: „KI Data Tooling“: Werkzeugkasten für die künstliche Intelligenz im Automobil. In: Sensorik Magazin, Ausgabe 102, 07/2020.
- 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”.
- 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.
- 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.
- 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.
- 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.
- Manuel Hetzel, Hannes Reichert, Konrad Doll, Bernhard Sick: Smart Infrastructure: A research junction. In: 7th IEEE International Smart Cities Conference 2021.
- 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.
- 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.
- 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.
- 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".
- 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.
- 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.
- 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.
- 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.
- 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.
- Jasmin Breitenstein, Tim Fingscheidt: Amodal Cityscapes: A New Dataset, its Generation, and an Amodal Semantic Segmentation Challenge Baseline. In: IV2022, 06.-08.06.2022.
- 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.
- Daniel Bogdoll, Maximilian Nitsche, J. Marius Zöllner: Anomaly Detection in Autonomous Driving: A Survey. In: CVPR 2022 Workshop on Autonomous Driving, 20.06.2022.
- 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.
- Jan Schneegans, Maarten Bieshaar, Bernhard Sick: A Practical Evaluation of Active Learning Approaches for Object Detection.
- 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.
- 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
- 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
- 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
- Jasmin Breitenstein, Jonas Löhdefink, Tim Fingscheidt: Joint Prediction of Amodal and Visible Semantic Segmentation for Automated Driving In: ECCV-AVVision 2022, Tel Aviv-Yafo, Israel, 23.10.2022
- 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
Publikationen
publications
Nachfolgend finden Sie öffentlich gehaltene Präsentation zum Projekt KI Data Tooling.
Präsentationen
presentations
Hier stehen Projektmaterialien zum Download bereit.
Presse
press
Pressemitteilungen
Pressemitteilungen des Projektes und unserer Partner
Pressemitteilungen
press
Medien Echo
press
Medien Echo
Medienberichte über KI Data Tooling:
https://magazin.tu-braunschweig.de/pi-post/kuenstliche-intelligenz-im-strassenverkehr/
https://www.standort38.de/impulse/forschung-technologie/kuenstliche-intelligenz-im-strassenverkehr/
https://www.sensorik-bayern.de/fileadmin/documents/sensorik-magazin/Sensorik-Magazin_102.pdf
https://www.safetywissen.com/object/A11/A11.uym737987u4a54fr85347832ntedml63762038232/safetywissen