Traffic Scenarios for Automated Vehicle Testing: A Review of Description Languages and Systems
Loading...
Files
Size: 3.42 MB, File format: Adobe PDF
Date
Authors
Ma, J
Che, X
Li, Y
Lai, EM-K
Supervisor
Item type
Degree name
Journal Title
Journal ISSN
Volume Title
Publisher
MDPI AG
Abstract
Testing 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.
Description
Keywords
Scenario description, SDL, Domain specific language, DSL, Automated vehicles, Scenario based testing
Source
Machines 2021, 9, 342.
Publisher's version
Rights statement
Creative Commons Attribution (CC BY)
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. Open access.
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. Open access.
Permanent link
Endorsement
Review
Supplemented By
Referenced By
Creative Commons license
Except where otherwise noted, this item's license is described as Creative Commons Attribution (CC BY)