Moritz Sackmann, M. Sc.

2022

• Sackmann M., Bey H., Hofmann U., Thielecke J.:
  Learning a Diverse and Cooperative Policy for Predicting Roundabout Traffic Situations
  14. Uni-DAS e.V. Workshop Fahrerassistenz und automatisiertes Fahren (Berkheim, Germany, 9. Mai 2022 - 11. Mai 2022)
  In: 14. Uni-DAS e.V. Workshop Fahrerassistenz und automatisiertes Fahren 2022
  Open Access: https://www.uni-das.de/images/pdf/fas-workshop/2022/FAS2022-01-Sackmann.pdf
  URL: https://www.uni-das.de/images/pdf/fas-workshop/2022/FAS2022-01-Sackmann.pdf
  BibTeX: Download
• Sackmann M., Bey H., Hofmann U., Thielecke J.:
  Modeling Driver Behavior using Adversarial Inverse Reinforcement Learning
  33rd IEEE Intelligent Vehicles Symposium (Aachen, Germany, 5. Juni 2022 - 9. Juni 2022)
  In: 32rd IEEE Intelligent Vehicles Symposium 2022
  DOI: 10.1109/iv51971.2022.9827292
  BibTeX: Download

2021

• Bey H., Sackmann M., Lange A., Thielecke J.:
  Handling Prediction Model Errors in Planning for Automated Driving Using POMDPs
  2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021 (Hybrid / Indianapolis, 19. September 2021 - 22. September 2021)
  In: 2021 IEEE International Intelligent Transportation Systems Conference (ITSC) 2021
  DOI: 10.1109/ITSC48978.2021.9564408
  URL: https://ieeexplore.ieee.org/abstract/document/9564408
  BibTeX: Download
• Bey H., Sackmann M., Lange A., Thielecke J.:
  POMDP Planning at Roundabouts
  32nd IEEE Intelligent Vehicles Symposium (IV) (Nagoya, Japan, 11. Juli 2021 - 17. Juli 2021)
  In: 2021 IEEE Intelligent Vehicles Symposium Workshops, NEW YORK: 2021
  DOI: 10.1109/IVWorkshops54471.2021.9669232
  BibTeX: Download
• Konstantinidis F., Sackmann M., De Candido O., Hofmann U., Thielecke J., Utschick W.:
  Parameter Sharing Reinforcement Learning for Modeling Multi-Agent Driving Behavior in Roundabout Scenarios
  IEEE International Intelligent Transportation Systems Conference (ITSC) (Hybrid / Indianapolis, 19. September 2021 - 22. September 2021)
  In: IEEE International Intelligent Transportation Systems Conference (ITSC) 2021
  DOI: 10.1109/ITSC48978.2021.9565031
  URL: https://ieeexplore.ieee.org/abstract/document/9565031
  BibTeX: Download
• Leemann T., Sackmann M., Thielecke J., Hofmann U.:
  Distribution Preserving Multiple Hypotheses Prediction for Uncertainty Modeling
  European Symposium on Artificial Neural Networks (ESANN) (online, 6. Oktober 2021 - 8. Oktober 2021)
  In: Proceedings of the 29th European Symposium on Artificial Neural Networks 2021
  DOI: 10.14428/esann/2021.es2021-16
  URL: https://www.esann.org/sites/default/files/proceedings/2021/ES2021-16.pdf
  BibTeX: Download
• Sackmann M., Leemann T., Bey H., Hofmann U., Thielecke J.:
  Multi-Step Training for Predicting Roundabout Traffic Situations
  IEEE International Intelligent Transportation Systems Conference (ITSC) (Hybrid / Indianapolis, 19. September 2021 - 22. September 2021)
  In: IEEE International Intelligent Transportation Systems Conference (ITSC) 2021
  DOI: 10.1109/ITSC48978.2021.9564547
  URL: https://ieeexplore.ieee.org/abstract/document/9564547
  BibTeX: Download

2020

• Bey H., Tratz M., Sackmann M., Lange A., Thielecke J.:
  Tutorial on sampling-based POMDP-planning for automated driving
  6th International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2020 (, 2. Mai 2020 - 4. Mai 2020)
  In: Karsten Berns, Markus Helfert, Oleg Gusikhin (Hrsg.): VEHITS 2020 - Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems 2020
  BibTeX: Download
• Sackmann M., Bey H., Hofmann U., Thielecke J.:
  Classification of driver intentions at roundabouts
  6th International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2020 (Online, 2. Mai 2020 - 4. Mai 2020)
  In: Karsten Berns, Markus Helfert, Oleg Gusikhin (Hrsg.): VEHITS 2020 - Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems 2020
  BibTeX: Download
• Sackmann M., Bey H., Hofmann U., Thielecke J.:
  Prediction Error Reduction of Neural Networks for Car-Following Using Multi-Step Training
  23rd IEEE International Conference on Intelligent Transportation Systems, ITSC 2020 (Rhodes, 20. September 2020 - 23. September 2020)
  In: 2020 IEEE 23rd International Conference on Intelligent Transportation Systems, ITSC 2020 2020
  DOI: 10.1109/ITSC45102.2020.9294646
  BibTeX: Download
• Vogl C., Sackmann M., Kürzinger L., Hofmann U.:
  Frenet Coordinate Based Driving Maneuver Prediction at Roundabouts Using LSTM Networks
  2020 ACM Computer Science in Cars Symposium, CSCS 2020 (Feldkirchen, 2. Dezember 2020)
  In: Stephen N. Spencer (Hrsg.): Proceedings - CSCS 2020: ACM Computer Science in Cars Symposium 2020
  DOI: 10.1145/3385958.3430475
  BibTeX: Download