| The highd dataset: A drone dataset of naturalistic vehicle trajectories on german highways for validation of highly automated driving systems R Krajewski, J Bock, L Kloeker, L Eckstein 2018 21st international conference on intelligent transportation systems …, 2018 | 1082 | 2018 |
| 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 |
| 6-layer model for a structured description and categorization of urban traffic and environment M Scholtes, L Westhofen, LR Turner, K Lotto, M Schuldes, H Weber, ... IEEE Access 9, 59131-59147, 2021 | 131 | 2021 |
| System validation of highly automated vehicles with a database of relevant traffic scenarios A Pütz, A Zlocki, J Bock, L Eckstein situations 1, E5, 2017 | 121 | 2017 |
| A framework for definition of logical scenarios for safety assurance of automated driving H Weber, J Bock, J Klimke, C Roesener, J Hiller, R Krajewski, A Zlocki, ... Traffic injury prevention 20 (sup1), S65-S70, 2019 | 91 | 2019 |
| 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 |
| Database approach for the sign-off process of highly automated vehicles A Pütz, A Zlocki, J Küfen, J Bock, L Eckstein 25th International Technical Conference on the Enhanced Safety of Vehicles …, 2017 | 48 | 2017 |
| Data basis for scenario-based validation of HAD on highways J Bock, R Krajewski, L Eckstein, J Klimke, J Sauerbier, A Zlocki 27th Aachen colloquium automobile and engine technology, 8-10, 2018 | 37 | 2018 |
| The conscend dataset: Concrete scenarios from the highd dataset according to alks regulation unece r157 in openx A Tenbrock, A König, T Keutgens, H Weber 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops), 174-181, 2021 | 31 | 2021 |
| 2018 21st International Conference on Intelligent Transportation Systems (ITSC) R Krajewski, J Bock, L Kloeker, L Eckstein IEEE, 2018 | 30 | 2018 |
| Self-learning Trajectory Prediction with Recurrent Neural Networks at Intelligent Intersections. J Bock, T Beemelmanns, M Klösges, J Kotte VEHITS, 346-351, 2017 | 30 | 2017 |
| Optimisation of energy efficiency based on average driving behaviour and driver's preferences for automated driving P Themann, J Bock, L Eckstein IET intelligent transport systems 9 (1), 50-58, 2015 | 29 | 2015 |
| Definition of scenarios for safety validation of automated driving functions J Sauerbier, J Bock, H Weber, L Eckstein ATZ worldwide 121 (1), 42-45, 2019 | 22 | 2019 |
| Logical scenarios parameterization for automated vehicle safety assessment: Comparison of deceleration and cut-in scenarios from Japanese and German highways A Zlocki, A König, J Bock, H Weber, H Muslim, H Nakamura, S Watanabe, ... IEEE Access 10, 26817-26829, 2022 | 15 | 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 |
| Using drones as reference sensors for neural-networks-based modeling of automotive perception errors R Krajewski, M Hoss, A Meister, F Thomsen, J Bock, L Eckstein 2020 IEEE Intelligent Vehicles Symposium (IV), 708-715, 2020 | 10 | 2020 |
| Database of relevant traffic scenarios for highly automated vehicles A Zlocki, J Bock, L Eckstein Autonomous Vehicle Test and Development Symposium, 20-22, 2017 | 9 | 2017 |
| Energy efficient adaptive cruise control utilizing V2X information P Themann, J Bock, L Eckstein 9th ITS European Congress 118, 2013 | 9 | 2013 |
| 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 |
Lutz EcksteinLeiter des Instituts für Kraftfahrzeuge (ika), RWTH Aachen UniversityBestätigte E-Mail-Adresse bei ika.rwth-aachen.de
