Jan-Pieter Paardekooper

Orcid: 0000-0001-9149-3813

According to our database1, Jan-Pieter Paardekooper authored at least 12 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
PRISMA: A Novel Approach for Deriving Probabilistic Surrogate Safety Measures for Risk Evaluation.
CoRR, 2023

Connecting the Dots: Context-Driven Motion Planning Using Symbolic Reasoning.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

2022
Towards an Ontology for Scenario Definition for the Assessment of Automated Vehicles: An Object-Oriented Framework.
IEEE Trans. Intell. Veh., 2022

Scenario Parameter Generation Method and Scenario Representativeness Metric for Scenario-Based Assessment of Automated Vehicles.
IEEE Trans. Intell. Transp. Syst., 2022

2021
Risk Quantification for Automated Driving Systems in Real-World Driving Scenarios.
IEEE Access, 2021

Constrained Sampling from a Kernel Density Estimator to Generate Scenarios for the Assessment of Automated Vehicles.
Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

A Hybrid-AI Approach for Competence Assessment of Automated Driving functions.
Proceedings of the Workshop on Artificial Intelligence Safety 2021 (SafeAI 2021) co-located with the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), 2021

2020
Ontology for Scenarios for the Assessment of Automated Vehicles.
CoRR, 2020

Towards a Characterization of Safe Driving Behavior for Automated Vehicles Based on Models of "Typical" Human Driving Behavior.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Real-World Scenario Mining for the Assessment of Automated Vehicles.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2017
Evaluation of safety indicators for truck platooning.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Assessment of Automated Driving Systems using real-life scenarios.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017


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