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20212025
most citedCriticality Metrics for Automated Driving: A Review and Suitability Analysis of the State of the Art

152 citations · 157 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2025

Causal Bayesian Networks for Data-driven Safety Analysis of Complex Systems

Roman Gansch, Lina Putze, Tjark Koopmann +2

Ensuring safe operation of safety-critical complex systems interacting with their environment poses significant challenges, particularly when the system's world model relies on mac…

cs.RO2025

On Scenario Formalisms for Automated Driving

Christian Neurohr, Lukas Westhofen, Tjark Koopmann +3

The concept of scenario and its many qualifications -- specifically logical and abstract scenarios -- have emerged as a foundational element in safeguarding automated driving syste…

cs.RO2023

On Quantification for SOTIF Validation of Automated Driving Systems

Lina Putze, Lukas Westhofen, Tjark Koopmann +2

Automated driving systems are safety-critical cyber-physical systems whose safety of the intended functionality (SOTIF) can not be assumed without proper argumentation based on app…

cs.AI2022★ 5 cited

Grasping Causality for the Explanation of Criticality for Automated Driving

Tjark Koopmann, Christian Neurohr, Lina Putze +3

The verification and validation of automated driving systems at SAE levels 4 and 5 is a multi-faceted challenge for which classical statistical considerations become infeasible. Fo…

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…