activity
20222024
most citedAn Automated Analysis Framework for Trajectory Datasets

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 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.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.SE2024

Towards a Completeness Argumentation for Scenario Concepts

Christoph Glasmacher, Hendrik Weber, Lutz Eckstein

Scenario-based testing has become a promising approach to overcome the complexity of real-world traffic for safety assurance of automated vehicles. Within scenario-based testing, a…

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.CV2022★ 3 cited

An Automated Analysis Framework for Trajectory Datasets

Christoph Glasmacher, Robert Krajewski, Lutz Eckstein

Trajectory datasets of road users have become more important in the last years for safety validation of highly automated vehicles. Several naturalistic trajectory datasets with eac…