1 citations · 1 across the 3 of their papers we have counts for
3 papers
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…
The ConScenD Dataset: Concrete Scenarios from the highD Dataset According to ALKS Regulation UNECE R157 in OpenX
Alexander Tenbrock, Alexander König, Thomas Keutgens +4
With Regulation UNECE R157 on Automated Lane-Keeping Systems, the first framework for the introduction of passenger cars with Level 3 systems has become available in 2020. In accor…
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…