Lutz Eckstein
Lutz Eckstein
Leiter des Instituts für Kraftfahrzeuge (ika), RWTH Aachen University
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Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Entwicklung und Uberprufung eines Bedienkonzepts und von Algorithmen zum Fahren eines Kraftfahrzeugs mit aktiven Sidesticks
L Eckstein
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
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
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
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