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

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 compa...

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Bibliographic Details
Main Authors: Jing Ma, Xiaobo Che, Yanqiang Li, Edmund M.-K. Lai
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Machines
Subjects:
Online Access:https://www.mdpi.com/2075-1702/9/12/342
Description
Summary: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.
ISSN:2075-1702