activity
20212024
most citedCriticality Metrics for Automated Driving: A Review and Suitability Analysis of the State of the Art

152 citations · 228 across the 10 of their papers we have counts for

collaborators
Showing cs.ROShow all

7 papers · 1 filter

cs.RO2024

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-…

cs.RO2024

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…

cs.RO2023

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…

cs.RO2023

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…

cs.RO2023★ 1 cited

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…

cs.RO2022

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…

cs.RO2021★ 152 cited

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…