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 | 1164 | 2018 |
The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections J Bock, R Krajewski, L Vater, T Moers, L Eckstein IEEE Intelligent Vehicles Symposium 2020, 2020 | 389 | 2020 |
The rounD Dataset: A Drone Dataset of Road User Trajectories atRoundabouts in Germany R Krajewski, T Moers, J Bock, L Vater, L Eckstein IEEE ITSC 2020, 2020 | 176 | 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 | 146 | 2021 |
Optimal vehicle dynamics control for combined longitudinal and lateral autonomous vehicle guidance A Katriniok, JP Maschuw, F Christen, L Eckstein, D Abel 2013 European Control Conference (ECC), 974-979, 2013 | 134 | 2013 |
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 Sim2Real Deep Learning Approach for the Transformation of Images from Multiple Vehicle-Mounted Cameras to a Semantically Segmented Image in Bird’s Eye View L Reiher, B Lampe, L Eckstein IEEE ITSC 2020, 2020 | 95 | 2020 |
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 | 94 | 2019 |
A scenario-based assessment approach for automated driving by using time series classification of human-driving behaviour C Roesener, F Fahrenkrog, A Uhlig, L Eckstein 2016 IEEE 19th international conference on intelligent transportation …, 2016 | 86 | 2016 |
UNICARagil-disruptive modular architectures for agile, automated vehicle concepts T Woopen, B Lampe, T Böddeker, L Eckstein, A Kampmann, B Alrifaee, ... Institute for Automotive Engineering, RWTH Aachen, 2018 | 83 | 2018 |
eurofot: Field operational test and impact assessment of advanced driver assistance systems: Final results M Benmimoun, A Pütz, A Zlocki, L Eckstein Proceedings of the FISITA 2012 World Automotive Congress: Volume 9 …, 2013 | 81 | 2013 |
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 | 76 | 2022 |
Battery sizing for serial plug-in hybrid electric vehicles: A model-based economic analysis for Germany CS Ernst, A Hackbarth, R Madlener, B Lunz, DU Sauer, L Eckstein Energy Policy 39 (10), 5871-5882, 2011 | 75 | 2011 |
Operating element arrangement with articulated arcuate operating element for controlling motor vehicle longitudinal and transverse movement L Eckstein, W Reichelt US Patent 6,039,142, 2000 | 75 | 2000 |
A dynamic service-oriented software architecture for highly automated vehicles A Kampmann, B Alrifaee, M Kohout, A Wüstenberg, T Woopen, M Nolte, ... 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2101-2108, 2019 | 65 | 2019 |
Data-driven maneuver modeling using generative adversarial networks and variational autoencoders for safety validation of highly automated vehicles R Krajewski, T Moers, D Nerger, L Eckstein 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 65 | 2018 |
Entwicklung und Uberprufung eines Bedienkonzepts und von Algorithmen zum Fahren eines Kraftfahrzeugs mit aktiven Sidesticks L Eckstein FORTSCHRITT BERICHTE-VDI REIHE 12 VERKEHRSTECHNIK FAHRZEUGTECHNIK, 2001 | 58 | 2001 |
Electric vehicle drive trains: From the specification sheet to the drive-train concept M Felden, P Bütterling, P Jeck, L Eckstein, K Hameyer Proceedings of 14th International Power Electronics and Motion Control …, 2010 | 57 | 2010 |
A review of testing object-based environment perception for safe automated driving M Hoss, M Scholtes, L Eckstein Automotive Innovation 5 (3), 223-250, 2022 | 53 | 2022 |
Incident detection based on vehicle CAN-data within the large scale field operational test “euroFOT” M Benmimoun, F Fahrenkrog, A Zlocki, L Eckstein 22nd International Technical Conference on the Enhanced Safety of Vehicles …, 2011 | 53 | 2011 |