Vorträge und Artikel

OCCUQ Exploring Efficient Uncertainty Quantification for 3D Occupancy PredictionFreitag, 23. Mai 2025

IEEE International Conference on Robotics & Automation, Atlanta, USA, 19. – 23.05.2025
Till Beemelmanns, Institute for Automotive Engineering (ika) , RWTH Aachen
Severin Heidrich, Institute for Automotive Engineering (ika), RWTH Aachen
Alexey Nekrasov, Computer Vision Institute, RWTH Aachen
Bastian Leibe, Computer Vision Institute, RWTH Aachen
Lutz Eckstein, Institute for Automotive Engineering (ika), RWTH Aachen

Guardian Angel: A Mobile Application for Active VRU Safety Enabled by the Digital Traffic TwinMittwoch, 21. Mai 2025

16th ITS European Congress, 19. – 21.05.2025, Sevilla, ES
Fabian Thomsen, Institute for Automotive Engineering (ika)
Yanik Peiffer, RWTH Aachen University
Lutz Eckstein, Institute for Automotive Engineering (ika)

MultiCorrupt DatasetMontag, 24. Februar 2025

IEEE Intelligent Vehicle Symposium 2024, Jeju Island, South Korea, 24.02.2025
Till Beemelmanns, Institute for Automotive Engineering (ika) , RWTH Aachen
Quan Zhang, TU Berlin
Christian Geller, Institute for Automotive Engineering (ika) , RWTH Aachen
Lutz Eckstein, Institute for Automotive Engineering (ika) , RWTH Aachen

Principles and Use-Cases of the Live Digital Twin of Traffic in the autotech.agil ProjectMittwoch, 09. Oktober 2024

Aachen Colloquium Sustainable Mobility, Aachen, 07. – 09.10.2024
Fabian Thomsen, Institute for Automotive Engineering (ika)
Raphael van Kempen, Institute for Automotive Engineering (ika)
Lukas Zanger, Institute for Automotive Engineering (ika)
Bastian Lampe, Institute for Automotive Engineering (ika)
Timo Woopen, Institute for Automotive Engineering (ika)
Lutz Eckstein, Institute for Automotive Engineering (ika)

V2AIX: A Multi-Modal Real-World Dataset of ETSI ITS V2X Messages in Public Road TrafficFreitag, 27. September 2024

IEEE International Conference on Intelligent Transportation Systems, Edmonton, Canada, 24. – 27.09.2024
Guido Küppers, Institute for Automotive Engineering (ika)
Jean-Pierre Busch, Institute for Automotive Engineering (ika)
Lennart Reiher, Institute for Automotive Engineering (ika)
Lutz Eckstein, Institute for Automotive Engineering (ika)

Architekturen für das fahrerlose und automatisierte Fahren: Vom Fahrzeugkonzept zum C-ITS.Donnerstag, 05. September 2024

Scenarios and scenario database for AV safety assuranceMontag, 01. Juli 2024

Road Vehicle Automation, July 2024
Christoph Glasmacher, Institute for Automotive Engineering (ika)
Michael Schuldes, Institute for Automotive Engineering (ika)
Adrian Zlocki, fka GmbH
Christoph Klas, fka GmbH
Lutz Eckstein, Institute for Automotive Engineering (ika)

Architektur zur Orchestrierung des intelligenten Mobilitätssystems der ZukunftMittwoch, 26. Juni 2024

37. VDI-Tagung Fahrerassistenzsysteme und Automatisiertes Fahren, Aachen, 25. – 26.06.2024
Lukas Zanger, Institut für Kraftfahrzeuge (ika)
Raphael van Kempen, Institut für Kraftfahrzeuge (ika)
Timo Woopen, Institut für Kraftfahrzeuge (ika)
Bastian Lampe, Institut für Kraftfahrzeuge (ika)
Prof. Dr. Lutz Eckstein, Institut für Kraftfahrzeuge (ika)

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)

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)

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