Publications

Here is a list of all the KI Absicherung publications:

 

  1. Matthias Rottmann, Robin Chan, Peter Schlicht, Fabian Hüger: Detection of False Positive and False Negative Samples in Semantic Segmentation. In: DATE2020, Proceedings DATE 2020, Grenoble, 9.-13.03.2020
  2. Marco Hoffman, Dr. Alexander Pohl, Patrick Prill, Dr. Michael Mlynarski: Die Gefahren lauern vor allem hinter den Ecken – Corner Cases und ihre Tücken. In: German Testing Magazin, April 2020
  3. Timo Sämann, Peter Schlicht, Fabian Hüger: Strategy to Increase the Safety of a DNN-based Perception for HAD Systems. In: arXiv preprint 20.02.2020
  4. Andreas Bär, Marvin Klingner, Serin Varghese, Fabian Hüger, Peter Schlicht, Tim Fingscheidt: Robust Semantic Segmentation by Redundant Networks With a Layer-Specific Loss Contribution and Majority Vote. In: Proc. of CVPR - Workshop on Safe Artificial Intelligence for Automated Driving (CVPR SAIAD 2020), Seattle, WA, USA, Juni 2020
  5. Christoph Gladisch, Christian Heinzemann, Martin Hermann, Matthias Woehrle: Leveraging combinatorial testing for safety-critical computer vision datasets. In: Workshop on Safe Artificial Intelligence for Automated Driving (SAIAD) 2020, Seattle (USA), 14.06.2020
  6. Oliver Grau, Korbinian Hagn, Qutub Syed Sha: Computational validation of perceptional functions. In: Safe AI for automated Driving – IEEE Computer Society Conference on  Computer Vision and Pattern Recognition (CVPR), Proceedings of Computer Vision and Pattern Recognition – Workshop, Seattle (USA), 14. – 19.06.2020
  7. Fabian Küppers, Jan Kronenberger, Amirhossein Shantia, Anselm Haselhoff: Multivariate Confidence Calibration for Object Detection. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition, Seattle (USA), 16. – 18.06.2020
  8. Jonas Löhdefink, Justin Fehrling, Marvin Klingner, Fabian Hüger, Peter Schlicht, Nico M. Schmidt, Tim Fingscheidt: Self-Supervised Domain Mismatch Estimation for Autonomous Perception. In: Workshop on Safe Artificial Intelligence for Automated Driving (SAIAD) 2020, Seattle (USA), 14.06.2020
  9. Serin Varghese, Yasin Bayzidi, Andreas Bär, Nikhil Kapoor, Sounak Lahiri, Jan David Schneider, Nico Schmidt, Peter Schlicht, Fabian Hüger, Tim Fingscheidt: Unsupervised Temporal Consistency Metric for Video Segmentation in Highly-Automated Driving. In: Proc. of CVPR - Workshop on Safe Artificial Intelligence for Automated Driving (CVPR SAIAD 2020), Seattle, WA, USA, Juni 2020
  10. Joachim Sicking, Maram Akila, Tim Wirtz, Sebastian Houben, Asja Fischer: Characteristics of Monte Carlo Dropout in Wide Neural Networks. In Workshop on Uncertainty & Robustness in Deep Learning (at ICML); Wien (Österreich), 17.07.2020
  11. Michael Fürst, Emil Schreiber: KIA – Annotations Format (V2.1) Design Process and Decisions. In: OpenLABEL Project Meeting, online, 23. – 24.07.2020
  12. Stephanie Abrecht, Lydia Gauerhof, Christoph Gladisc, Konrad Groh, Christian Heinzemann, Matthias Woehrle: Testing Deep Learning-based Visual Perception for Automated Driving. In: Journal ACM Transactions on Cyber-Physical Systems, Speical Issue on Artificial Intelligence and Cyber-Physical Systems
  13. Michael Fürst, Oliver Wasenmüller, Didier Stricker: LRPD: Long Range 3D Pedestrian Detection Leveraging Specific Strengths of LiDAR and RGB. In IEEE International Conference on Intelligent Transportation Systems, Rhodes (Griechenland), 20. – 23.09.2020
  14. Juncong Fei, Wenbo Chen, Philipp Heidenreich, Sascha Wirges, Christoph Stiller: Semantic Voxels: Sequential Fusion for 3D PedestrianDetection using LiDAR Point Cloud and Semantic Segmentation. In: IEEE International Conference on Multisensor Fusion and Integration, Karlsruhe (Deutschland), 14. – 16.09.2020
  15. Oliver Willers, Sebastian Sudholt, Shervin Raafatnia, Stephanie Abrecht: Safety Concerns and Mitigation Approaches Regarding the Use of Deep Learning in Safety-Critical Perception Tasks. In: SAFECOMP 2020, Lecture Notes on Computer Science Lissabon (Portugal), 15. – 18.09.2020
  16. Stephanie Abrecht, Maram Akila, Sujan Sai Gannamaneni, Konrad Groh, Christian Heinzemann, Sebastian Houben, Matthias Woehrle: Revisiting Neuron Coverage and its Application to Test Generation. In: Third International Workshop on Artificial Intelligence Safety Engineering, Computer Safety, Reliability and Security: SAFECOMP 2020 Worshops, Lissabon (Portugal), 15.09.2020
  17. Gesina Schwalbe, Bernhard Knie, Timo Sämann, Timo Dobberphul, Lydia Gauerhof, Shervin Raaftnia, Oliver Willers: Structuring the Safety Argumentation for Deep Neural Networks. In: SafeComp 2020, Computer Safety, Reliability and Security, Lissabon (Portugal), 15. – 18.09.2020
  18. Michael Weber, Christof Wendenius, J. Marius Zöllner: Runtime Optimization of a CNN for Environment Perception. In: IEEE Intelligent Vehicles Symposium (IV) 2020, Proceedings of  the IEEE Intelligent Vehicles Symposium, Las Vegas (USA), 21.-23.10.2020

Publications

publications

Here is a list of public KI Absicherung presentations:

27.10.2020 - Fraunhofer Solution Days: Dr. Michael Mock, IAIS: Absicherung und Zertifizierung von KI (German)

26.10.2020 - The Connected Car and Autonomous Driving: Dr. Sebastian Houben, IAIS: KI Absicherung - Safe AI for Automated Driving

05.10.2020 - TÜV AI Conference - Meet the Expert: Dr. Michael Mock, IAIS: Projektvorstellung KI Absicherung (German)

26.06.2020 - XR EXPO 2020: Markus Huber, Mackevision Medien Design GmbH: Enabling Autonomous Driving Simulations through Virtual Worlds

Presentations

presentations

You can download the following project materials:

Project materials

project-material

Press kit

Here you can find our press kit

Press Kit

press

Press releases

press

Media coverage

Media coverage of the project:

https://www.wuppertaler-rundschau.de/lokales/automatisiertes-fahren-bergische-uni-forscht-zur-ki-absicherung_aid-45688381 (German)

https://www.die-stadtzeitung.de/index.php/2019/09/06/bergische-uni-beteiligt-sich-an-ki-absicherung/ (German)

https://idw-online.de/de/news722994 (German)

https://www.uni-heidelberg.de/de/newsroom/kuenstliche-intelligenz-fuer-automatisiertes-fahren (German)

https://www.iais.fraunhofer.de/de/presse/presseinformationen/presseinformationen-2020/presseinformation-200526.html (Official press release by IAIS, German)

https://idw-online.de/de/news747957 (German)

https://www.it-daily.net/it-management/digitale-transformation/24352-ki-absicherung-wie-autonomes-fahren-sicherer-wird?highlight=autonomes%20fahren (German)

https://www.internationales-verkehrswesen.de/ki-absicherung-wie-autonomes-fahren-sicherer-wird/ (German)

https://www.wissenschaftsregion-bonn.de/news-termine/news/news-details/pm7374-ki-absicherung-wie-autonomes-fahren-sicherer-wird/ (German)

https://www.abitur-und-studium.de/Blogs/Universitaet-Wuppertal/Bergische-Uni-beteiligt-sich-an-Forschungskonsortium-KI-Absicherung (German)

https://www.elektroniknet.de/elektronik-automotive/assistenzsysteme/ki-funktionsmodule-machen-autonomes-fahren-sicherer-176834.html (German)

https://www.intelligent-mobility-xperience.com/xxx-a-949073/  (English)

https://www.industry-of-things.de/autonomes-fahren-bis-2022-soll-sicherheit-garantiert-werden-a-954649/ (German)

https://www.egovernment-computing.de/autonomes-fahren-bis-2022-soll-sicherheit-garantiert-werden-a-957316/ (German)

https://www.elektronikpraxis.vogel.de/autonomes-fahren-bis-2022-soll-sicherheit-garantiert-werden-a-957360/ (German)

Media coverage

press