Barbara Schütt

According to our database, Barbara Schütt authored at least 13 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Exploring the Range of Possible Outcomes by means of Logical Scenario Analysis and Reduction for Testing Automated Driving Systems.

Barbara Schütt, Stefan Otten, Eric Sax

CoRR, 2023

Inverse Universal Traffic Quality - a Criticality Metric for Crowded Urban Traffic Scenes.

Barbara Schütt, Maximilian Zipfl, J. Marius Zöllner, Eric Sax

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

1001 Ways of Scenario Generation for Testing of Self-driving Cars: A Survey.

Barbara Schütt, Joshua Ransiek, Thilo Braun, Eric Sax

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Clustering-based Criticality Analysis for Testing of Automated Driving Systems.

Barbara Schütt, Stefan Otten, Eric Sax

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Generation of Adversarial Trajectories using Reinforcement Learning to Test Motion Planning Algorithms.

Joshua Ransiek, Barbara Schütt, Adrian Hof, Eric Sax

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

A Review of Scenario Similarity Measures for Validation of Highly Automated Driving.

Thilo Braun, Julian Fuchs, Felix Reisgys, Lennart Ries, Johannes Plaum, Barbara Schütt, Eric Sax

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Evolutionary Behavior Tree Generation for Dynamic Scenario Creation in Testing of Automated Driving Systems.

Barbara Schütt, Meng Zhang, Christian Steinhauser, Eric Sax

Proceedings of the 7th International Conference on System Reliability and Safety, 2023

2022

Fingerprint of a Traffic Scene: an Approach for a Generic and Independent Scene Assessment.

Maximilian Zipfl, Barbara Schütt, J. Marius Zöllner, Eric Sax

CoRR, 2022

A Taxonomy for Quality in Simulation-Based Development and Testing of Automated Driving Systems.

Barbara Schütt, Markus Steimle, Birte Kramer, Danny Behnecke, Eric Sax

IEEE Access, 2022

An Application of Scenario Exploration to Find New Scenarios for the Development and Testing of Automated Driving Systems in Urban Scenarios.

Barbara Schütt, Marc Heinrich, Sonja Marahrens, J. Marius Zöllner, Eric Sax

Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems, 2022

Towards an Ontology That Reconciles the Operational Design Domain, Scenario-based Testing, and Automated Vehicle Architectures.

Jannis Erz, Barbara Schütt, Thilo Braun, Houssem Guissouma, Eric Sax

Proceedings of the IEEE International Systems Conference, 2022

2021

Criticality Metrics for Automated Driving: A Review and Suitability Analysis of the State of the Art.

Lukas Westhofen, Christian Neurohr, Tjark Koopmann, Martin Butz, Barbara Schütt, Fabian Utesch, Birte Kramer, Christian Gutenkunst, Eckard Böde

CoRR, 2021

2020

SceML: a graphical modeling framework for scenario-based testing of autonomous vehicles.

Barbara Schütt, Thilo Braun, Stefan Otten, Eric Sax

Proceedings of the MoDELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems, 2020