152 citations · 228 across the 10 of their papers we have counts for
10 papers
Navigating Dimensionality through State Machines in Automotive System Validation
Laurenz Adolph, barbara Schütt, David Kraus +1
The increasing automation of vehicles is resulting in the integration of more extensive in-vehicle sensor systems, electronic control units, and software. Additionally, vehicle-to-…
Scene-Extrapolation: Generating Interactive Traffic Scenarios
Maximilian Zipfl, Barbara Schütt, J. Marius Zöllner
Verifying highly automated driving functions can be challenging, requiring identifying relevant test scenarios. Scenario-based testing will likely play a significant role in verify…
Clustering-based Criticality Analysis for Testing of Automated Driving Systems
Barbara Schütt, Stefan Otten, Eric Sax
With the implementation of the new EU regulation 2022/1426 regarding the type-approval of the automated driving system (ADS) of fully automated vehicles, scenario-based testing has…
1001 Ways of Scenario Generation for Testing of Self-driving Cars: A Survey
Barbara Schütt, Joshua Ransiek, Thilo Braun +1
Scenario generation is one of the essential steps in scenario-based testing and, therefore, a significant part of the verification and validation of driver assistance functions and…
Inverse Universal Traffic Quality -- a Criticality Metric for Crowded Urban Traffic Scenes
Barbara Schütt, Maximilian Zipfl, J. Marius Zöllner +1
An essential requirement for scenario-based testing the identification of critical scenes and their associated scenarios. However, critical scenes, such as collisions, occur compar…
Fingerprint of a Traffic Scene: an Approach for a Generic and Independent Scene Assessment
Maximilian Zipfl, Barbara Schütt, J. Marius Zöllner +1
A major challenge in the safety assessment of automated vehicles is to ensure that risk for all traffic participants is as low as possible. A concept that is becoming increasingly…
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 +2
Verification and validation are major challenges for developing automated driving systems. A concept that gets more and more recognized for testing in automated driving is scenario…
Criticality Metrics for Automated Driving: A Review and Suitability Analysis of the State of the Art
Lukas Westhofen, Christian Neurohr, Tjark Koopmann +6
The large-scale deployment of automated vehicles on public roads has the potential to vastly change the transportation modalities of today's society. Although this pursuit has been…
SceML - A Graphical Modeling Framework for Scenario-based Testing of Autonomous Vehicles
Barbara Schuett, Thilo Braun, Stefan Otten +1
Ensuring the functional correctness and safety of autonomous vehicles is a major challenge for the automotive industry. However, exhaustive physical test drives are not feasible, a…
A taxonomy for quality in simulation-based development and testing of automated driving systems
Barbara Schütt, Markus Steimle, Birte Kramer +2
Ensuring the quality of automated driving systems is a major challenge the automotive industry is facing. In this context, quality defines the degree to which an object meets expec…