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Maximilian Bäumler
Maximilian Bäumler
Lehrstuhl Kraftfahrzeugtechnik, TU Dresden
Bestätigte E-Mail-Adresse bei tu-dresden.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
792020
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
132022
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
122020
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
112023
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
112019
Report on design of modules for the stochastic traffic simulation
C Siebke, M Bäumler, M Ringhand, IM Mai, F Elrod, IG Prokop
72021
Evaluation von Machine-Learning-Modellen und Konzeptionierung eines Modell-Ensembles für die Vorhersage von Unfalldaten
G Siedel
72021
Fusion von Unfallszenarien für die Repräsentativitätsüberprüfung eines Testszenarienkataloges zur Absicherung automatisierter Fahrfunktionen
L Dziuba-Kaiser
72020
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
62022
Report on integration of the stochastic traffic simulation
C Siebke, M Bäumler, M Ringhand, IM Mai, F Elrod, IG Prokop
52021
Report on validation of the stochastic traffic simulation (Part B)
M Bäumler, M Ringhand, C Siebke, IM Mai, F Elrod, IG Prokop
52021
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
42023
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
42021
Report on validation of the stochastic traffic simulation (Part A)
M Ringhand, M Bäumler, C Siebke, IM Mai, F Elrod
42021
Die Dresdner Methode
M Mai, M Bäumler, M Lehmann, C Siebke, K Blenz, G Prokop, ...
VDI-Tagung Fahrzeugsicherheit 13, 2022
32022
Verbesserung und Evaluation eines Modell-Ensembles für die Vorhersage von Unfalldaten anhand synthetischer Daten
H Chen
32021
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
3
Test Scenario Fusion: How to Fuse Scenarios from Accident and Traffic Observation Data
M Bäumler, G Prokop
IEEE Access 12, 16354-16374, 2024
22024
ListDB RepOne: 3 months (Jun'22-Aug'22) of drone videos and trajectories at a 3-way intersection
M Bäumler, M Lehmann
http://dx.doi.org/10.25532/OPARA-229, 2023
1*2023
Towards Safer Rides: Measuring Motorcycle Dynamics with Smartphones
M Stanglmayr, M Bäumler
12020
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