| The ind dataset: A drone dataset of naturalistic road user trajectories at german intersections J Bock, R Krajewski, T Moers, S Runde, L Vater, L Eckstein 2020 IEEE Intelligent Vehicles Symposium (IV), 1929-1934, 2020 | 362 | 2020 |
| The round dataset: A drone dataset of road user trajectories at roundabouts in germany R Krajewski, T Moers, J Bock, L Vater, L Eckstein 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 163 | 2020 |
| The exid dataset: A real-world trajectory dataset of highly interactive highway scenarios in germany T Moers, L Vater, R Krajewski, J Bock, A Zlocki, L Eckstein 2022 IEEE Intelligent Vehicles Symposium (IV), 958-964, 2022 | 61 | 2022 |
| The ind dataset: A drone dataset of naturalistic vehicle trajectories at german intersections J Bock, R Krajewski, T Moers, L Vater, S Runde, L Eckstein arXiv preprint arXiv:1911.07602, 2019 | 13 | 2019 |
| Highly accurate scenario and reference data for automated driving J Bock, L Vater, R Krajewski, T Moers ATZ worldwide 123 (5), 50-55, 2021 | 8 | 2021 |
| Test case selection method for the verification of automated driving systems L Vater, A Pütz, L Tellis, L Eckstein ATZelectronics worldwide 16 (11), 40-45, 2021 | 5 | 2021 |
| Utilization and Potentials of Unmanned Aerial Vehicles (UAVs) in the Field of Automated Driving: A Survey L Kloeker, T Moers, L Vater, A Zlocki, L Eckstein 2021 5th International Conference on Vision, Image and Signal Processing …, 2021 | 2 | 2021 |
| A Systematic Approach Towards the Definition of the Terms Edge Case and Corner Case for Automated Driving L Vater, M Sonntag, J Hiller, P Schaudt, L Eckstein 2023 3rd International Conference on Electrical, Computer, Communications …, 2023 | 1 | 2023 |
| Drone-based Generation of Sensor Reference and Training Data for Highly Automated Vehicles R Krajewski, L Vater, M Klimke, T Moers, J Bock, L Eckstein 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 1 | 2021 |
| Determining the Tactical Challenge of Scenarios to Efficiently Test Automated Driving Systems L Vater, S Tarlowski, L Eckstein arXiv preprint arXiv:2404.02599, 2024 | | 2024 |
| Hi-Drive D4. 3 Experimental procedure: Version 1.1 H Sintonen, A Bolovinou, B Guelsen, J Hogema, S Innamaa, YM Lee, ... | | 2023 |
| Hi-Drive Deliverable D4. 1/Research Questions B Metz, J Wörle, M Metzulat, E Aittoniemi, S Innamaa, T Itkonen, ... | | 2023 |
| Hi-Drive D4. 1 Research questions: Version 1.0 B Metz, J Wörle, M Metzulat, E Aittoniemi, S Innamaa, T Itkonen, ... | | 2023 |
| Hi-Drive D4. 2 Data for Evaluation: Version 1.0 F Fahrenkrog, S Innamaa, H Weber, E Lehtonen, T Itkonen, A Bolovinou, ... | | 2022 |
| Methode zur Testfallauswahl für die Verifikation automatisierter Fahrfunktionen L Vater, L Tellis, A Pütz, L Eckstein ATZelektronik 16 (11), 40-45, 2021 | | 2021 |
| Hochgenaue Szenarien-und Referenzdaten für das automatisierte Fahren J Bock, L Vater, R Krajewski, T Moers ATZ-Automobiltechnische Zeitschrift 123 (5), 50-55, 2021 | | 2021 |
