339 citations · 1.3k across the 23 of their papers we have counts for
4 papers · 1 filter
What Did I Learn? Operational Competence Assessment for AI-Based Trajectory Planners
Michiel Braat, Maren Buermann, Marijke van Weperen +1
Automated driving functions increasingly rely on machine learning for tasks like perception and trajectory planning, requiring large, relevant datasets. The performance of these al…
PRISMA: A Novel Approach for Deriving Probabilistic Surrogate Safety Measures for Risk Evaluation
Erwin de Gelder, Kingsley Adjenughwure, Jeroen Manders +5
Surrogate Safety Measures (SSMs) are used to express road safety in terms of the safety risk in traffic conflicts. Typically, SSMs rely on assumptions regarding the future evolutio…
Scenario Parameter Generation Method and Scenario Representativeness Metric for Scenario-Based Assessment of Automated Vehicles
Erwin de Gelder, Jasper Hof, Eric Cator +4
The development of assessment methods for the performance of Automated Vehicles (AVs) is essential to enable the deployment of automated driving technologies, due to the complex op…
Real-World Scenario Mining for the Assessment of Automated Vehicles
Erwin de Gelder, Jeroen Manders, Corrado Grappiolo +3
Scenario-based methods for the assessment of Automated Vehicles (AVs) are widely supported by many players in the automotive field. Scenarios captured from real-world data can be u…