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

Author:

de Gelder Erwin1ORCID,Paardekooper Jan-Pieter1ORCID,Saberi Arash Khabbaz2,Elrofai Hala3,Camp Olaf Op den1ORCID,Kraines Steven4ORCID,Ploeg Jeroen5ORCID,De Schutter Bart6ORCID

Affiliation:

1. Department of Integrated Vehicle Safety, TNO, Helmond, JZ, The Netherlands

2. TomTom, Automated Driving Product Unit, Eindhoven, The Netherlands

3. Mobile Perception Systems Lab, Eindhoven University of Technology, Eindhoven, AZ, The Netherlands

4. Symphony Company, Tokyo, Japan

5. 2getthere, Utrecht, AE, The Netherlands

6. Delft Center for Systems and Control, Delft University of Technology, Delft, CD, The Netherlands

Funder

Centre of Excellence for Testing and Research of Autonomous Vehicles at NTU

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Automotive Engineering

Reference81 articles.

1. Harmonized pre-crash scenarios for reaching global vision zero;lara;Proc 26th Int Tech Conf Enhanced Saf Veh,0

2. Safety assessment of automated vehicles: how to determine whether we have collected enough field data?

3. Did We Test All Scenarios for Automated and Autonomous Driving Systems?

4. Taxonomy of scenarios for automated driving,2017

5. Dynamic hierarchical tagging system and method;molloy,2017

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