| Scenario Based Testing of Automated Driving Systems: A Literature Survey D Nalic, T Mihalj, M Bäumler, M Lehmann, A Eichberger, S Bernsteiner Proc. FISITA Web Congr., 30, 2020 | 96 | 2020 |
| Predicting the impact on road safety of an intersection AEB at urban intersections. Using a novel virtual test field for the assessment of conflict prevention between cyclists … C Siebke, M Bäumler, K Blenz, M Lehmann, M Ringhand, M Mai, ... Transportation Research Interdisciplinary Perspectives 17, 100728, 2023 | 16 | 2023 |
| Approaching intersections: Gaze behavior of drivers depending on traffic, intersection type, driving maneuver, and secondary task involvement M Ringhand, C Siebke, M Bäumler, T Petzoldt Transportation Research Part F: Traffic Psychology and Behaviour 91, 116-135, 2022 | 16 | 2022 |
| Use Information You Have Never Observed Together: Data Fusion as a Major Step Towards Realistic Test Scenarios M Bäumler, L Dziuba-Kaiser, Z Yin, M Lehmann, G Prokop 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 13 | 2020 |
| Use of a criticality metric for assessment of critical traffic situations as part of SePIA M Lehmann, M Bäumler, G Prokop, D Hamelow 19. Internationales Stuttgarter Symposium, 1154-1167, 2019 | 12 | 2019 |
| Validating automated driving systems by using scenario-based testing: The Fuse4Rep process model for scenario generation as part of the Dresden Method M Bäumler, G Prokop ZVS - Zeitschrift für Verkehrssicherheit 68 (3), 226-230, 2022 | 7 | 2022 |
| Evaluation von Machine-Learning-Modellen und Konzeptionierung eines Modell-Ensembles für die Vorhersage von Unfalldaten G Siedel | 7 | 2021 |
| Fusion von Unfallszenarien für die Repräsentativitätsüberprüfung eines Testszenarienkataloges zur Absicherung automatisierter Fahrfunktionen L Dziuba-Kaiser | 7 | 2020 |
| Test Scenario Fusion: How to Fuse Scenarios from Accident and Traffic Observation Data M Bäumler, G Prokop IEEE Access 12, 16354-16374, 2024 | 6 | 2024 |
| Report on design of modules for the stochastic traffic simulation C Siebke, M Bäumler, M Ringhand, IM Mai, F Elrod, IG Prokop | 6 | 2021 |
| Generating representative test scenarios: The fuse for representativity (Fuse4Rep) process model for collecting and analysing traffic observation data M Bäumler, M Lehmann, G Prokop 27th ESV conference, 23-0122, 2023 | 5 | 2023 |
| Report on integration of the stochastic traffic simulation C Siebke, M Bäumler, M Ringhand, IM Mai, F Elrod, IG Prokop | 5 | 2021 |
| Report on validation of the stochastic traffic simulation (Part B) M Bäumler, M Ringhand, C Siebke, IM Mai, F Elrod, IG Prokop | 5 | 2021 |
| Report on layout of the traffic simulation and trial design of the evaluation C Siebke, M Bäumler, M Ringhand, M Mai, MN Ramadan, G Prokop Technische Univ. Dresden, Dresden, Germany, Tech. Rep. D 2, 2021 | 4 | 2021 |
| Report on validation of the stochastic traffic simulation (Part A) M Ringhand, M Bäumler, C Siebke, IM Mai, F Elrod | 4 | 2021 |
| Generating ADS Test Scenarios from Police Accident Data: How to Predict the Type of Road Traffic Accident Accurately M Bäumler, G Prokop Available at SSRN 4295798, 0 | 4 | |
| Predicting the type of road traffic accident for test scenario generation M Bäumler, G Prokop IEEE Access, 2024 | 3 | 2024 |
| Die Dresdner Methode M Mai, M Bäumler, M Lehmann, C Siebke, K Blenz, G Prokop, ... VDI-Tagung Fahrzeugsicherheit 13, 2022 | 3 | 2022 |
| Verbesserung und Evaluation eines Modell-Ensembles für die Vorhersage von Unfalldaten anhand synthetischer Daten H Chen | 3 | 2021 |
| Categorizing data-driven methods for test scenario generation to assess automated driving systems M Bäumler, F Linke, G Prokop IEEE Access, 2024 | 1 | 2024 |
