Barbara Schütt
Orcid: 0000-0001-8439-0322
According to our database1,
Barbara Schütt
authored at least 14 papers
between 2020 and 2024.
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Bibliography
2024
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
2023
Exploring the Range of Possible Outcomes by means of Logical Scenario Analysis and Reduction for Testing Automated Driving Systems.
CoRR, 2023
Inverse Universal Traffic Quality - a Criticality Metric for Crowded Urban Traffic Scenes.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Generation of Adversarial Trajectories using Reinforcement Learning to Test Motion Planning Algorithms.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
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.
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.
CoRR, 2022
A Taxonomy for Quality in Simulation-Based Development and Testing of Automated Driving Systems.
IEEE Access, 2022
An Application of Scenario Exploration to Find New Scenarios for the Development and Testing of Automated Driving Systems in Urban Scenarios.
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.
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.
CoRR, 2021
2020
SceML: a graphical modeling framework for scenario-based testing of autonomous vehicles.
Proceedings of the MoDELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems, 2020