67 citations · 212 across the 8 of their papers we have counts for
8 papers
A Quantitative Method to Determine What Collisions Are Reasonably Foreseeable and Preventable
Erwin de Gelder, Olaf Op den Camp
The development of Automated Driving Systems (ADSs) has made significant progress in the last years. To enable the deployment of Automated Vehicles (AVs) equipped with such ADSs, r…
Scenario Extraction from a Large Real-World Dataset for the Assessment of Automated Vehicles
Detian Guo, Manuel Muñoz Sánchez, Erwin de Gelder +1
Many players in the automotive field support scenario-based assessment of automated vehicles (AVs), where individual traffic situations can be tested and, thus, facilitate concludi…
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…
Scenario-Based Safety Assessment Framework for Automated Vehicles
J. Ploeg, E. de Gelder, M. Slavík +3
Automated vehicles (AVs) are expected to increase traffic safety and traffic efficiency, among others by enabling flexible mobility-on-demand systems. This is particularly importan…
Constrained Sampling from a Kernel Density Estimator to Generate Scenarios for the Assessment of Automated Vehicles
Erwin de Gelder, Eric Cator, Jan-Pieter Paardekooper +2
The safety assessment of automated vehicles (AVs) is an important aspect of the development cycle of AVs. A scenario-based assessment approach is accepted by many players in the fi…
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…
Towards an Ontology for Scenario Definition for the Assessment of Automated Vehicles: An Object-Oriented Framework
E. de Gelder, J. -P. Paardekooper, A. Khabbaz Saberi +5
The development of new assessment methods for the performance of automated vehicles is essential to enable the deployment of automated driving technologies, due to the complex oper…