activity
20202024
most citedUsing Ontologies for the Formalization and Recognition of Criticality for Automated Driving

4 citations · 5 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SE2024

scenario.center: Methods from Real-world Data to a Scenario Database

Michael Schuldes, Christoph Glasmacher, Lutz Eckstein

Scenario-based testing is a promising method to develop, verify and validate automated driving systems (ADS) since pure on-road testing seems inefficient for complex traffic enviro…

cs.SE2024

Determining the Tactical Challenge of Scenarios to Efficiently Test Automated Driving Systems

Lennart Vater, Sven Tarlowski, Michael Schuldes +1

The selection of relevant test scenarios for the scenario-based testing and safety validation of automated driving systems (ADSs) remains challenging. An important aspect of the re…

cs.CV2024

Causality-based Transfer of Driving Scenarios to Unseen Intersections

Christoph Glasmacher, Michael Schuldes, Sleiman El Masri +1

Scenario-based testing of automated driving functions has become a promising method to reduce time and cost compared to real-world testing. In scenario-based testing automated func…

cs.SE2023

Acquire Driving Scenarios Efficiently: A Framework for Prospective Assessment of Cost-Optimal Scenario Acquisition

Christoph Glasmacher, Michael Schuldes, Hendrik Weber +2

Scenario-based testing is becoming increasingly important in safety assurance for automated driving. However, comprehensive and sufficiently complete coverage of the scenario space…

cs.AI2022★ 4 cited

Using Ontologies for the Formalization and Recognition of Criticality for Automated Driving

Lukas Westhofen, Christian Neurohr, Martin Butz +2

Knowledge representation and reasoning has a long history of examining how knowledge can be formalized, interpreted, and semantically analyzed by machines. In the area of automated…

cs.OH2020★ 1 cited

6-Layer Model for a Structured Description and Categorization of Urban Traffic and Environment

Maike Scholtes, Lukas Westhofen, Lara Ruth Turner +11

Verification and validation of automated driving functions impose large challenges. Currently, scenario-based approaches are investigated in research and industry, aiming at a redu…