Traffic Scenarios for Automated Vehicle Testing: A Review of Description Languages and Systems

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aut.relation.endpage342
aut.relation.issue12en_NZ
aut.relation.journalMachinesen_NZ
aut.relation.startpage342
aut.relation.volume9en_NZ
aut.researcherLai, Edmund
dc.contributor.authorMa, Jen_NZ
dc.contributor.authorChe, Xen_NZ
dc.contributor.authorLi, Yen_NZ
dc.contributor.authorLai, EM-Ken_NZ
dc.date.accessioned2022-01-20T03:36:46Z
dc.date.available2022-01-20T03:36:46Z
dc.description.abstractTesting and validation of the functionalities and safety of automated vehicles shifted from a distance-based to a scenario-based method in the past decade. A number of domain-specific languages and systems were developed to support scenario-based testing. The aim of this paper is to review and compare the features and characteristics of the major scenario description languages and systems (SDLS). Each of them is designed for different purposes and with different goals; therefore, they have their strengths and weaknesses. Their characteristics are highlighted with an example nontrivial traffic scenario that we designed. We also discuss some directions for further development and research of these SDLS.en_NZ
dc.identifier.citationMachines 2021, 9, 342. https://doi.org/10.3390/machines 9120
dc.identifier.doi10.3390/machines9120342en_NZ
dc.identifier.issn2075-1702en_NZ
dc.identifier.urihttps://hdl.handle.net/10292/14842
dc.languageenen_NZ
dc.publisherMDPI AGen_NZ
dc.relation.urihttps://www.mdpi.com/2075-1702/9/12/342
dc.rights© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/
dc.rights.accessrightsOpenAccessen_NZ
dc.subjectScenario description; SDL; Domain specific language; DSL; Automated vehicles; Scenario based testing
dc.titleTraffic Scenarios for Automated Vehicle Testing: A Review of Description Languages and Systemsen_NZ
dc.typeJournal Article
pubs.elements-id445689
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Faculty of Design & Creative Technologies
pubs.organisational-data/AUT/Faculty of Design & Creative Technologies/School of Engineering, Computer & Mathematical Sciences
pubs.organisational-data/AUT/Faculty of Design & Creative Technologies/School of Engineering, Computer & Mathematical Sciences/Centre for Artificial Intelligence Research
pubs.organisational-data/AUT/Faculty of Design & Creative Technologies/School of Engineering, Computer & Mathematical Sciences/Centre for Robotics & Vision
pubs.organisational-data/AUT/PBRF
pubs.organisational-data/AUT/PBRF/PBRF Design and Creative Technologies
pubs.organisational-data/AUT/PBRF/PBRF Design and Creative Technologies/PBRF ECMS
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