Operational Design Domain-Driven Coverage for the Safety Argumentation of Automated Vehicles
Author:
Affiliation:
1. Virtual Vehicle Research GmbH, Graz, Austria
2. Infineon Technologies AG, Neubiberg, Germany
3. International Manufacturing Centre, University of Warwick, Coventry, WMG, U.K.
Funder
Competence Centers for Excellent Technologies (COMET) K2 Competence Centers for Excellent Technologies from the Austrian Federal Ministry for Climate Action
Austrian Federal Ministry for Digital and Economic Affairs
Province of Styria
Styrian Business Promotion Agency
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10036064.pdf?arnumber=10036064
Reference78 articles.
1. Fundamental Considerations around Scenario-Based Testing for Automated Driving
2. Artificial potential functions for highway driving with collision avoidance
3. Paradigms in Scenario-Based Testing for Automated Driving
4. Driver models for the definition of safety requirements of automated vehicles in international regulations. Application to motorway driving conditions
5. ASAM test specification study group report 2022;ASAMA,2022
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1. Scenario-Based Methods for Machine Learning Assurance;2023 IEEE/AIAA 42nd Digital Avionics Systems Conference (DASC);2023-10-01
2. Conflict Detection Performance of Ground-based Radar Networks for Urban Air Mobility;2023 IEEE/AIAA 42nd Digital Avionics Systems Conference (DASC);2023-10-01
3. Critical Scenario Identification Concept: The Role of the Scenario-in-the-Loop Approach in Future Automotive Testing;IEEE Access;2023
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