Vorträge und Artikel

Scenario.center: Methods from Real-world Data to a Scenario DatabaseMittwoch, 05. Juni 2024

IEEE Intelligent Vehicles Symposium, Jeju Island, Südkorea, 02. – 05.06.2024
Michael Schuldes, Institute for Automotive Engineering (ika)
Christoph Glasmacher, Institute for Automotive Engineering (ika)
Prof. Dr. Lutz Eckstein, Institute for Automotive Engineering (ika)

CARLOS: An Open, Modular, and Scalable Simulation Framework for the Development and Testing of Software for C-ITSMittwoch, 05. Juni 2024

IEEE Intelligent Vehicles Symposium, Jeju Island, Südkorea, 02. – 05.06.2024
Christian Geller, Institute for Automotive Engineering (ika)
Benedikt Haas, RWTH Aachen
Amarin Klöker, Institute for Automotive Engineering (ika)
Jona Hermens, RWTH Aachen
Bastian Lampe, Institute for Automotive Engineering (ika)
Prof. Dr. Lutz Eckstein, Institute for Automotive Engineering (ika)

Causality-based Transfer of Driving Scenarios to Unseen IntersectionsMittwoch, 05. Juni 2024

IEEE Intelligent Vehicles Symposium, Jeju Island, Südkorea, 02. – 05.06.2024
Christoph Glasmacher, Institute for Automotive Engineering (ika)
Michael Schuldes, Institute for Automotive Engineering (ika)
Sleiman El Masri, RWTH Aachen University
Lutz Eckstein, Institute for Automotive Engineering (ika)

Towards a Completeness Argumentation for Scenario ConceptsMittwoch, 05. Juni 2024

IEEE Intelligent Vehicles Symposium, Jeju Island, Südkorea, 02. – 05.06.2024
Christoph Glasmacher, Institute for Automotive Engineering (ika)
Hendrik Weber, Institute for Automotive Engineering (ika)
Lutz Eckstein, Institute for Automotive Engineering (ika)

Determining the Tactical Challenge of Scenarios to Efficiently Test Automated Driving SystemsMittwoch, 05. Juni 2024

IEEE Intelligent Vehicles Symposium, Jeju Island, Südkorea, 02. – 05.06.2024
Lennart Vater, Institute for Automotive Engineering (ika)
Sven Tarlowski, Institute for Automotive Engineering (ika)
Prof. Dr. Lutz Eckstein, Institute for Automotive Engineering (ika)

MultiCorrupt: A Multi-Modal Robustness Dataset and Benchmark of LiDAR-Camera Fusion for 3D Object DetectionMittwoch, 05. Juni 2024

IEEE Intelligent Vehicles Symposium, Jeju Island, Südkorea, 02. – 05.06.2024
Till Beemelmanns, Institute for Automotive Engineering (ika)
Quan Zhang, TU Berlin
Prof. Dr. Lutz Eckstein, Institute for Automotive Engineering (ika)

Enabling the Deployment of Any-Scale Robotic Applications in Microservice-Based Service-Oriented Architectures through Automated ContainerizationMontag, 13. Mai 2024

IEEE International Conference on Robotics and Automation (ICRA 2024), Yokohama, Japan, 13. – 17.05.2024
Jean-Pierre Busch, Institute for Automotive Engineering (ika)
Lennart Reiher, Institute for Automotive Engineering (ika)
Lutz Eckstein, Institute for Automotive Engineering (ika)

Detecting Edge Cases from Trajectory Datasets Using Deep Learning Based Outlier DetectionDonnerstag, 02. Mai 2024

VEHITS 2024, Agers, Frankreich, 02. – 04.05.2024
Marcel Sonntag, Institute for Automotive Engineering (ika)
Lennart Vater, Institute for Automotive Engineering (ika)
Roman Vuskov, RWTH Aachen University
Prof. Dr. Lutz Eckstein, Institute for Automotive Engineering (ika)

Generating Representative Driving and Load Profiles from Measured Vehicle Data for the Powertrain Concept Design of Battery-electric Heavy-duty TrucksFreitag, 26. April 2024

EVS37, Seoul, Republik Korea, 23. – 26.04.2024
Gordon Witham, Institute for Automotive Engineering (ika)
Anna Rozum, Institute for Automotive Engineering (ika)
Daniel Swierc, Institute for Automotive Engineering (ika)
Prof. Dr. Lutz Eckstein, Institute for Automotive Engineering (ika)

Sustainable Battery Housing ConceptsDonnerstag, 25. April 2024

AMAP Forum 2024, 25.04.2024
Sebastian Spohr, Institute for Automotive Engineering (ika)
Dr. Michael Funcke, fka GmbH

Einfluss von dynamischen Schnittmomenten auf das Reifen-Fahrbahn-Geräusch im Fahrzeuginnenraum Donnerstag, 21. März 2024

DAGA - Jahrestagung für Akustik, Hannover, 18. – 21.03.2024
Olaf Uszynski, Institut für Kraftfahrzeuge (ika)
Jacopo Palandri, Ford Research and Innovation Center Aachen
Björn Reff, Ford Research and Innovation Center Aachen
Michael Kwade , Institut für Kraftfahrzeuge (ika)
Univ.-Prof. Dr.-Ing. Lutz Eckstein, Institut für Kraftfahrzeuge (ika)

Entwicklung eines deterministischen Modellierungsansatzes zur Prädiktion des Reifen-Fahrbahn-GeräuschsDonnerstag, 21. März 2024

DAGA 2024 – 50. Jahrestagung der Akustik, Hannover, 18. – 21.03.2024
Carolin Schliephake, Institut für Kraftfahrzeuge (ika)
Olaf Uszynski, Institut für Kraftfahrzeuge (ika)
Dominik Werner, Institut für Kraftfahrzeuge (ika)

Explainable Multi-Camera 3D Object Detection with Transformer-Based Saliency MapsSamstag, 16. Dezember 2023

Machine Learning for Autonomous Driving Symposium (NeurIPS), New Orleans, USA, 10. – 16.12.2023
Till Beemelmanns, Institute for Automotive Engineering (ika)
Wassim Zahr, RWTH Aachen
Lutz Eckstein, Institute for Automotive Engineering (ika)

Scenario-based Model of the ODD through Scenario DatabasesFreitag, 15. Dezember 2023

VVM, Dezember 2023
Michael Schuldes, Insititute for Automotive Engineering (ika)
Christoph Glasmacher, Insititute for Automotive Engineering (ika)
Prasankumar Topalakatti, AVL GmBH
Petar Hristov, IT Centers of RWTH Aachen University
Hendrik Weber, Insititute for Automotive Engineering (ika)
Lutz Eckstein, Insititute for Automotive Engineering (ika)

Anwendungsspezifische Dimensionierung des eFans in elektrifizierten NutzfahrzeugenMittwoch, 29. November 2023

12. VDI-Fachkonferenz „Thermomanagement in elektromotorisch angetriebenen PKW“, Leinfelden-Echterdingen, 28. – 29.11.2023
M. Pietruck – Institut für Kraftfahrzeuge (ika)
P. Prystupa – ZF Friedrichshafen AG
S. Hahn – ZF Friedrichshafen AG

Holistic Approach for Aurally Accurate Road Traffic Noise Reduction by Adaption of Traffic Route and Infrastructure PlanningMittwoch, 29. November 2023

Aachen Acoustics Colloquium, Aachen, 27. – 29.11.2023
Carolin Schliephake, Institute for Automotive Engineering (ika)
Chalotorn Möhlmann, Institute for Hearing Technology & Acoustics (IHTA)
Peter Urban, Institute for Automotive Engineering (ika)
Janina Fels, Institute for Hearing Technology & Acoustics (IHTA)

Application concepts and potentials of vibroacoustic metamaterials for NVH comfortMontag, 27. November 2023

Aachen Acoustics Colloquium 2023, 27. – 29.11.2023
Armin Weber, Institute for Automotive Engineering (ika)
Sebastian Rieß, Fraunhofer LBF
José Gabriél Condor Lopéz, Mercedes Benz AG
Heiko Atzrodt, Fraunhofer LBF
Moritz Hülsebrock, Fraunhofer LBF
José Gabriél Condor Lopéz, Mercedes Benz AG
Thomas Böttcher, Institute for Automotive Engineering (ika)
Lutz Eckstein, Institute for Automotive Engineering (ika)

Open-Source Tool Based Framework for Automated Performance Evaluation of an AD FunctionFreitag, 17. November 2023

III. International Conference on Electrical, Computer and Energy Technologies (ICECET 2023), 16 – 17 November 2023, Cape Town-South Africa
Daniel Becker, Institute for Automotive Engineering (ika)
Sanath Konthala, Institute for Thermodynamic and Combustion Technology, FH Aachen
Prof. Dr. Lutz Eckstein, Institute for Automotive Engineering (ika)

DOI: https://doi.org/10.1109/ICECCME55909.2022.9988312

Enhancing Lidar-based Object Detection in Adverse Weather Conditions with Sequential Sensor DataFreitag, 17. November 2023

International Conference on Electrical, Computer and Energy Technologies, Cape Town, South Africa and Online, 16. – 17.11.2023
Raphael van Kempen, Institut für Kraftfahrzeuge (ika), RWTH Aachen University
Tim Rehbronn, RWTH Aachen
Dr. Abin Jose, Lehrstuhl für Bildverarbeitung, RWTH Aachen University
Prof. Dr. Johannes Stegmaier, Lehrstuhl für Bildverarbeitung, RWTH Aachen University
Prof. Dr. Lutz Eckstein, Institut für Kraftfahrzeuge (ika), RWTH Aachen University

Scalable Real-Time Multi Object Tracking for Automated Driving Using Intelligent InfrastructureFreitag, 17. November 2023

International Conference on Electrical, Computer and Energy Technologies, Cape Town, South Africa and Online, 16. – 17.11.2023
Fabian Thomsen, Institute for Automotive Engineering (ika)
Maximilian Ortmann, RWTH Aachen
Lutz Eckstein, Institute for Automotive Engineering (ika)