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The New BMW iDrive - Applied Processes and Methods to Assure High Usability.

B. Niedermaier, S. Durach, L. Eckstein, and A. Keinath. HCI (11), volume 5620 of Lecture Notes in Computer Science, page 443-452. Springer, (2009)

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Rebekka Lutz University of Stuttgart

Mattea Eckstein University of Stuttgart

Univ. -Prof. Dr. rer. nat. Eric Lutz University of Stuttgart

Dr. Thorsten Lutz University of Stuttgart

Lutz Fischer University of Stuttgart

Other publications of authors with the same name

Improving and simplifying the generation of reference trajectories by usage of road-aligned coordinate systems.J. Hudecek, and L. Eckstein. Intelligent Vehicles Symposium, page 504-509. IEEE, (2014)Continuously Improving Model of Road User Movement Patterns using Recurrent Neural Networks at Intersections with Connected Sensors.J. Bock, P. Nolte, and L. Eckstein. VEHITS, page 319-326. SciTePress, (2019)Privacy and initial information in automated driving - Evaluation of information demands and data sharing concerns.J. Josten, T. Schmidt, R. Philipsen, L. Eckstein, and M. Ziefle. Intelligent Vehicles Symposium, page 541-546. IEEE, (2017)BézierVAE: Improved Trajectory Modeling using Variational Autoencoders for the Safety Validation of Highly Automated Vehicles.R. Krajewski, T. Moers, A. Meister, and L. Eckstein. ITSC, page 3788-3795. IEEE, (2019)A Dynamic Service-Oriented Software Architecture for Highly Automated Vehicles.A. Kampmann, B. Alrifaee, M. Kohout, A. Wüstenberg, T. Woopen, M. Nolte, L. Eckstein, and S. Kowalewski. ITSC, page 2101-2108. IEEE, (2019)Using a New 3D-Printing Method to Investigate Rubber Friction Laws on Different ScalesJ. Friederichs, D. Wegener, L. Eckstein, F. Hartung, M. Kaliske, T. Götz, and W. Ressel. Tire science and technology, 48 (4): 250-286 (2020)Numerical determination of hysteresis friction on different length scales and comparison to experimentsF. Hartung, R. Kienle, T. Götz, T. Winkler, W. Ressel, L. Eckstein, and M. Kaliske. Tribology international, (2018)Sensitivity analysis for model based fusion of camera systems with navigation data.M. Wimmershoff, C. Klas, A. Zlocki, and L. Eckstein. Intelligent Vehicles Symposium, page 69-75. IEEE, (2013)Definition of an embedded driver model for driving behavior prediction within the DESERVE platform.J. Klimke, P. Themann, C. Klas, and L. Eckstein. ICSAMOS, page 343-350. IEEE, (2014)Deep, spatially coherent Occupancy Maps based on Radar Measurements.D. Bauer, L. Kuhnert, and L. Eckstein. CoRR, (2019)