| From traffic sensor data to semantic traffic descriptions: The test area autonomous driving baden-württemberg dataset (taf-bw dataset) M Zipfl, T Fleck, MR Zofka, JM Zöllner 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 17 | 2020 |
| Towards traffic scene description: The semantic scene graph M Zipfl, JM Zöllner 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 15 | 2022 |
| Pushing ROS towards the dark side: a ROS-based Co-simulation architecture for mixed-reality test systems for autonomous vehicles MR Zofka, L Töttel, M Zipfl, M Heinrich, T Fleck, P Schulz, JM Zöllner 2020 IEEE International Conference on Multisensor Fusion and Integration for …, 2020 | 15 | 2020 |
| Reliving the dataset: Combining the visualization of road users’ interactions with scenario reconstruction in virtual reality L Töttel, M Zipfl, D Bogdoll, MR Zofka, JM Zöllner International Conference on Intelligent Transportation Engineering, 436-454, 2021 | 8 | 2021 |
| A comprehensive review on ontologies for scenario-based testing in the context of autonomous driving M Zipfl, N Koch, JM Zöllner 2023 IEEE Intelligent Vehicles Symposium (IV), 1-7, 2023 | 6 | 2023 |
| Relation-based motion prediction using traffic scene graphs M Zipfl, F Hertlein, A Rettinger, S Thoma, L Halilaj, J Luettin, S Schmid, ... 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 5 | 2022 |
| Inverse universal traffic quality-a criticality metric for crowded urban traffic scenes B Schütt, M Zipfl, JM Zöllner, E Sax 2023 IEEE Intelligent Vehicles Symposium (IV), 1-7, 2023 | 3 | 2023 |
| Fingerprint of a traffic scene: an approach for a generic and independent scene assessment B Schütt, M Zipfl, JM Zöllner, E Sax 2022 International Conference on Electrical, Computer, Communications and …, 2022 | 3 | 2022 |
| Fingerprint of a Traffic Scene: an Approach for a Generic and Independent Scene Assessment M Zipfl, B Schütt, JM Zöllner, E Sax arXiv preprint arXiv:2211.13683, 2022 | 2 | 2022 |
| Self Supervised Clustering of Traffic Scenes using Graph Representations M Zipfl, M Jarosch, JM Zollner 2022 International Conference on Electrical, Computer, Communications and …, 2022 | 2 | 2022 |
| Utilizing Hybrid Trajectory Prediction Models to Recognize Highly Interactive Traffic Scenarios M Zipfl, S Spickermann, JM Zöllner 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 1 | 2023 |
| Lanelet2 for nuscenes: Enabling spatial semantic relationships and diverse map-based anchor paths A Naumann, F Hertlein, D Grimm, M Zipfl, S Thoma, A Rettinger, L Halilaj, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 1 | 2023 |
| One Stack to Rule them All: To Drive Automated Vehicles, and Reach for the 4th level S Ochs, J Doll, D Grimm, T Fleck, M Heinrich, S Orf, A Schotschneider, ... arXiv preprint arXiv:2404.02645, 2024 | | 2024 |
| PREDICTING THE BEHAVIOR OF ROAD USERS BASED ON A GRAPH REPRESENTATION OF A TRAFFIC SITUATION M Zipfl, A Rettinger, C Henson, F Hertlein, J Luettin, L Halilaj, S Schmid, ... US Patent App. 18/193,364, 2024 | | 2024 |
| Traffic Scene Similarity: a Graph-based Contrastive Learning Approach M Zipfl, M Jarosch, JM Zöllner 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 221-227, 2023 | | 2023 |
| Heterogeneous Graph-based Trajectory Prediction using Local Map Context and Social Interactions D Grimm, M Zipfl, F Hertlein, A Naumann, J Luettin, S Thoma, S Schmid, ... 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | | 2023 |
| Semi-Automatic Ground Truth Trajectory Estimation and Smoothing using Roadside Cameras T Fleck, M Zipfl, JM Zöllner 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | | 2023 |
| 14.16| Virtual Clone–Real and Virtual Test Area M Zipfl, M Heinrich, M Zofka | | |
| 7.3| Data-driven Aggregation and Generation of Scenarios for Testing Automated Driving Functions M Zipfl, M Zofka | | |
