Hier stehen alle Publikationen des Projekts FLOOW für Sie zum Download bereit.

• T. Rudolf, M. Gao, T. Schürmann, S. Schwab and S. Hohmann, "Fuzzy Action-Masked Reinforcement Learning Behavior Planning for Highly Automated Driving," 2022 8th International Conference on Control, Automation and Robotics (ICCAR), Xiamen, China, April 2022, pp. 264-270, https://doi.org/10.1109/ICCAR55106.2022.9782671.
• N. Majer, L. Luithle, T. Schürmann, S. Schwab and S. Hohmann, "Game-Theoretic Trajectory Planning of Mobile Robots in Unstructured Intersection Scenarios," IFAC-PapersOnLine, 2023, 56 (2), pp. 11808-11814, https://doi.org/10.1016/j.ifacol.2023.10.575
• A. Seiffer, M. Frey and F. Gauterin, "Pragmatic and Effective Enhancements for Stanley Path-Tracking Controller by Considering System Delay," Vehicles, 2023, 5(2),pp. 615-636, https://doi.org/10.3390/vehicles5020034
• P. Henkel, S. Parimi, J. Fischer, U. Mittmann and R. Bensch, “Precise positioning for autonomous driving in areas with both indoor and outdoor environments,” Proceedings of the 2024 International Technical Meeting of The Institute of Navigation, Long Beach, California, January 2024, pp. 1074-1084, https://doi.org/10.33012/2024.19534.
• Abdelhalim, G., Simon, K., Bensch, R., Parimi, S., Qureshi, B.-A., „Automated AI-based Annotation Framework for 3D Object Detection from LIDAR Data in Industrial Areas“, Society of Automotive Engineers (SAE) Technical Paper, Bd. 2024-01–2999, S. 14, Juli 2024, doi: 10.4271/2024-01-2999.