Generating Executable Test Scenarios from Autonomous Vehicle Disengagements using Natural Language Processing-Reference-Cited by-同舟云学术

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Generating Executable Test Scenarios from Autonomous Vehicle Disengagements using Natural Language Processing

Published:2024-04-15 Issue: Volume: Page:98-104
ISSN:
Container-title:Proceedings of the 19th International Symposium on Software Engineering for Adaptive and Self-Managing Systems
language:
Short-container-title:

Author:

Song Qunying¹^ORCID,Anderberg Rune¹^ORCID,Olsson Henrik¹^ORCID,Runeson Per¹^ORCID

Affiliation:

1. Lund University, Lund, Sweden

Funder

Knut och Alice Wallenbergs Stiftelse

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3643915.3644098

Reference41 articles.

1. ASAM. 2023. ASAM OpenDRIVE. Available online at: https://www.asam.net/standards/detail/opendrive/ (last accessed: Feburary 17 2023).

2. ASAM. 2023. ASAM OpenSCENARIO. Available online at: https://www.asam.net/standards/detail/openscenario/ (last accessed: Feburary 17 2023).

3. Vladimir V. Bochkarev, Anna V. Shevlyakova, and Valery D. Solovyev. 2012. Average word length dynamics as indicator of cultural changes in society. CoRR abs/1208.6109 (2012). arXiv:1208.6109 http://arxiv.org/abs/1208.6109

4. A Survey on Data-Driven Scenario Generation for Automated Vehicle Testing

5. California Department of Motor Vehicles. 2022. Autonomous vehicles disengagement reports. Available online at: https://www.dmv.ca.gov/portal/vehicle-industry-services/autonomous-vehicles/disengagement-reports/ (last accessed: September 1 2023).

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