Open Source
aveas-openlabel
Python implementation of the AVEAS OpenLABEL data format, maintained by understand.ai and Andrew DeLay.
Download (PyPI) Documentation (github.io)Gesamtprojekt
An Approach to Systematic Data Acquisition and Data-Driven Simulation for the Safety Testing of Automated Driving Functions (2023)
Leon Eisemann, Mirjam Fehling-Kaschek, Henrik Gommel, David Hermann, Marvin Klemp, Martin Lauer, Benjamin Lickert, F. Lüttner, R. Moss, Nicole Neis, Maria Pohle, Simon Romanski, Daniel Stadler, Alexander Stolz, Jens R. Ziehn, Jingxing Zhou, 26th IEEE International Conference on Intelligent Transportation Systems ITSC 2023.
arXiv (preprint) IEEE
A Joint Approach Towards Data-Driven Virtual Testing for Automated Driving: The AVEAS Project (2023)
Leon Eisemann, Mirjam Fehling-Kaschek, Silke Forkert, Andreas Forster, Henrik Gommel, Susanne Guenther, Stephan Hammer, David Hermann, Marvin Klemp, Martin Lauer, Benjamin Lickert, F. Lüttner, R. Moss, Nicole Neis, Maria Pohle, Dominik Schreiber, Cathrina Sowa, Daniel Stadler, Janina Stompe, Michael Strobelt, David Unger, Jens R. Ziehn, 7th International Symposium on Future Active Safety Technology toward zero traffic accidents (JSAE FAST-zero ’23), 2023.
arXiv (preprint) JSAE
Simuliert. Automatisiert. Variiert. (2023)
Leon Eisemann, Joachim Schaper, Tille Rupp, Nicole Neis, David Hermann, Porsche Engineering Magazin 02/2023: Datengetriebene und reale Methoden im Zusammenspiel.
DownloadVerhaltenssimulation
Literature Review on Maneuver-Based Scenario Description for Automated Driving Simulations (2023)
Nicole Neis, J. Beyerer, 35th IEEE Intelligent Vehicles Symposium (IV 2023), Anchorage, USA, 2023.
A Two-Level Stochastic Model for the Lateral Movement of Vehicles Within Their Lane Under Homogeneous Traffic Conditions (2023)
Nicole Neis, J. Beyerer, 26th IEEE International Conference on Intelligent Transportation Systems ITSC 2023.
Improving the modelling of the lateral driving Behavior of vehicles within their lane over extended time periods (2024)
Nicole Neis, J. Beyerer, 2024 IEEE 27th International Conference on Intelligent Transportation Systems ITSC 2024.
Data-based optimisation of traffic flow simulations: A gradient-based approach (2024)
F. Lüttner, B. Lickert, M. Fehling-Kaschek, R. Moss and A. Stolz, 2024 IEEE Intelligent Vehicles Symposium (IV), Jeju Island, Republic of Korea, 2024.
IEEE
Efficiently Modeling Lateral Vehicle Movement Including its Temporal Interrelations Using a Two-Level Stochastic Model (2024)
Nicole Neis, J. Beyerer, IEEE Open Journal of Intelligent Transportation Systems, 2024.
IEEE
Highly Flexible Mixed Reality Driving Simulation Environment for HMI Development (2024)
H. Gommel, M. Beck, and Ph. Gommel, Driving Simulation Conference DSC 2024 Europe VR, Strasbourg, France, 2024.
DSC WebsiteSensorauswertung und Mapping
Corner Cases in Data-Driven Automated Driving: Definitions, Properties and Solutions (2023)
Jingxing Zhou, J. Beyerer, 2023 IEEE Intelligent Vehicles Symposium (IV), Anchorage, AK, USA, 2023.
Automatic Odometry-Less OpenDRIVE Generation From Sparse Point Clouds (2023)
Leon Eisemann, Dr. Johannes Maucher, 26th IEEE International Conference on Intelligent Transportation Systems ITSC 2023.
arXiv (preprint)
Unknown-Aware Hierarchical Object Detection in the Context of Automated Driving (2023)
Jingxing Zhou, Nick Wandelburg, J. Beyerer, 26th IEEE International Conference on Intelligent Transportation Systems ITSC 2023.
Category Differences Matter: A Broad Analysis of Inter-Category Error in Semantic Segmentation (2023)
Jingxing Zhou, J. Beyerer, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Vancouver, Canada, 2023.
CVF (preprint)
Towards Weakly-Supervised Domain Adaptation for Lane Detection (2024)
Jingxing Zhou, Chongzhe Zhang, J. Beyerer, 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Seattle, USA, 2024.
CVF (preprint)Sensortests und Sensorsimulation
Synset Boulevard: A Synthetic Image Dataset for VMMR (2024)
Sielemann, A., Wolf, S., Roschani, M., Ziehn, J. and Beyerer, J. 2024 IEEE International Conference on Robotics and Automation (ICRA).
Preprint & Datensatz
Synset Signset Germany: A Synthetic Dataset for German Traffic Sign Recognition (2024)
Sielemann, A., Loercher, L., Schumacher, M. L., Wolf, S., Roschani, M., Ziehn, J., and Beyerer, J., IEEE 27th International Conference on Intelligent Transportation Systems, 2024.
Preprint & DatensatzPatente
Verfahren, System und Computerprogrammprodukt zum Testen und Trainieren eines Fahrerassistenzsystems (ADAS) und/oder eines automatisierten Fahrsystems (ADS) und/oder einer Fahrfunktion (2022)
DE102022119179A1, 01.08.2022, Dr. Ing. h.c. F. Porsche Aktiengesellschaft, 71283 Weissach, DE
DPMA
Verfahren, System und Computerprogrammprodukt zur Validierung eines Fahrerassistenzsystems (ADAS) und/oder eines automatisierten Fahrsystems (ADS) (2022)
DE102022118631A1, 26.07.2022, Dr. Ing. h.c. F. Porsche Aktiengesellschaft, 71283 Weissach, DE
DPMA
Verfahren zum Simulieren von Echosignalen einer mittels eines auf elektromagnetischen Strahlen basierenden Messsystems abgetasteten Szene (2022)
DE102022123577B4, 15.09.2022, Dr. Ing. h.c. F. Porsche Aktiengesellschaft, 71283 Weissach, DE
DPMA