| Predictive trajectory planning in situations with hidden road users using partially observable markov decision processes P Schörner, L Töttel, J Doll, JM Zöllner 2019 IEEE Intelligent Vehicles Symposium (IV), 2299-2306, 2019 | 42 | 2019 |
| Taxonomy and survey on remote human input systems for driving automation systems D Bogdoll, S Orf, L Töttel, JM Zöllner Future of Information and Communication Conference, 94-108, 2022 | 25 | 2022 |
| Pushing ROS towards the dark side: a ROS-based Co-simulation architecture for mixed-reality test systems for autonomous vehicles MR Zofka, L Töttel, M Zipfl, M Heinrich, T Fleck, P Schulz, JM Zöllner 2020 IEEE International Conference on Multisensor Fusion and Integration for …, 2020 | 15 | 2020 |
| Reliving the dataset: Combining the visualization of road users’ interactions with scenario reconstruction in virtual reality L Töttel, M Zipfl, D Bogdoll, MR Zofka, JM Zöllner International Conference on Intelligent Transportation Engineering, 436-454, 2021 | 8 | 2021 |
| Getting ready for all types of users: A virtual reality training center for automated vehicles H Gremmelmaier, L Töttel, S Pavlitskaya, S Orf, M Zofka, JM Zöllner 2022 IEEE Symposium Series on Computational Intelligence (SSCI), 77-85, 2022 | 2 | 2022 |
| Identifying the automated vehicle's driving policy in the vicinity of pedestrians F Orfanou, L Toettel, EI Vlahogianni, G Yannis Transportation research procedia 72, 3387-3394, 2023 | | 2023 |
| SHOW Deliverable 10.2: Pilot guiding simulation results C Katrakazas, J Hillebrand, YP Flötteröd, D Krajzewicz, L Bieker-Walz, ... | | 2022 |
| SHOW Deliverable 10.1: Simulation scenarios and tools L Töttel, J Hillebrand, M Hartmann, C Katrakazas, C Rudloff, YP Flötteröd | | 2021 |
