Erwin de Gelder

According to our database, Erwin de Gelder authored at least 17 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A Quantitative Method to Determine What Collisions Are Reasonably Foreseeable and Preventable.

Erwin de Gelder, Olaf Op den Camp

CoRR, 2023

PRISMA: A Novel Approach for Deriving Probabilistic Surrogate Safety Measures for Risk Evaluation.

Erwin de Gelder, Kingsley Adjenughwure, Jeroen Manders, Ron Snijders, Jan-Pieter Paardekooper, Olaf Op den Camp, Arturo Tejada, Bart De Schutter

CoRR, 2023

When Is an Automated Driving System Safe Enough for Deployment on the Public Road? Quantifying Safety Risk Using Real-World Scenarios.

Olaf Op den Camp, Erwin de Gelder, Jeroen Broos

Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems, 2023

Scenario Extraction from a Large Real-World Dataset for the Assessment of Automated Vehicles.

Detian Guo, Manuel Muñoz Sánchez, Erwin de Gelder, Tom P. J. van der Sande

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

Towards an Ontology for Scenario Definition for the Assessment of Automated Vehicles: An Object-Oriented Framework.

Erwin de Gelder, Jan-Pieter Paardekooper, Arash Khabbaz Saberi, Hala Elrofai, Olaf Op den Camp, Steven B. Kraines, Jeroen Ploeg, Bart De Schutter

IEEE Trans. Intell. Veh., 2022

Scenario Parameter Generation Method and Scenario Representativeness Metric for Scenario-Based Assessment of Automated Vehicles.

Erwin de Gelder, Jasper Hof, Eric Cator, Jan-Pieter Paardekooper, Olaf Op den Camp, Jeroen Ploeg, Bart De Schutter

IEEE Trans. Intell. Transp. Syst., 2022

2021

Scenario-Based Safety Assessment Framework for Automated Vehicles.

Jeroen Ploeg, Erwin de Gelder, Martin Slavík, Eley Querner, Thomas Webster, Niels de Boer

CoRR, 2021

Risk Quantification for Automated Driving Systems in Real-World Driving Scenarios.

Erwin de Gelder, Hala Elrofai, Arash Khabbaz Saberi, Jan-Pieter Paardekooper, Olaf Op den Camp, Bart De Schutter

IEEE Access, 2021

Constrained Sampling from a Kernel Density Estimator to Generate Scenarios for the Assessment of Automated Vehicles.

Erwin de Gelder, Eric Cator, Jan-Pieter Paardekooper, Olaf Op den Camp, Bart De Schutter

Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

2020

Tagging Real-World Scenarios for the Assessment of Autonomous Vehicles.

Erwin de Gelder, Olaf Op den Camp

CoRR, 2020

Procedure for the Safety Assessment of an Autonomous Vehicle Using Real-World Scenarios.

Erwin de Gelder, Olaf Op den Camp

CoRR, 2020

Ontology for Scenarios for the Assessment of Automated Vehicles.

Erwin de Gelder, Jan-Pieter Paardekooper, Arash Khabbaz Saberi, Hala Elrofai, Olaf Op den Camp, Jeroen Ploeg, Ludwig Friedmann, Bart De Schutter

CoRR, 2020

Real-World Scenario Mining for the Assessment of Automated Vehicles.

Erwin de Gelder, Jeroen Manders, Corrado Grappiolo, Jan-Pieter Paardekooper, Olaf Op den Camp, Bart De Schutter

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2018

Cut-in Scenario Prediction for Automated Vehicles.

Floris Remmen, Irene Cara, Erwin de Gelder, Dehlia Willemsen

Proceedings of the 2018 IEEE International Conference on Vehicular Electronics and Safety, 2018

2017

Assessment of Automated Driving Systems using real-life scenarios.

Erwin de Gelder, Jan-Pieter Paardekooper

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

2016

Towards personalised automated driving: Prediction of preferred ACC behaviour based on manual driving.

Erwin de Gelder, Irene Cara, Jeroen Uittenbogaard, Liselotte Kroon, Sven van Iersel, Jeroen H. Hogema

Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

2015

Classification for Safety-Critical Car-Cyclist Scenarios Using Machine Learning.

Irene Cara, Erwin de Gelder

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015