Scenario-Based Test Automation for Highly Automated Vehicles: A Review and Paving the Way for Systematic Safety Assurance

Highly Automated Vehicles (HAVs) must undergo strict safety testing before being released to the public. Mileage-based on-road testing suffers from unaffordable time costs and high safety risks. Simulated scenario-based testing has been found to be a trustworthy alternative for testing HAVs’ built-in algorithms and functionalities. Test automation is typically used to generate target scenarios. This approach facilitates customized testing and avoids wasting time on simple and redundant scenarios. This study aims to review test automation methods and discuss how to accentuate their strengths rather than be trapped in their weaknesses under certain applicable conditions. According to their main purposes, the authors classify test automation methods into coverage-oriented, unsafe-scenario-oriented, and naturalistic-assessment-oriented categories. To further demonstrate the differences of these methods, they then design numerical experiment to compare the capabilities of seven test automation methods. Finally, they compile their observations to form a comprehensive guide for selecting test automation methods with different test requirements in mind.

• Record URL:
  http://dx.doi.org/10.1109/TITS.2021.3136353
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
• Supplemental Notes:
  • Copyright © 2022, IEEE.
• Authors:
  • Sun, Jian
  • Zhang, He
  • Zhou, Huajun
  • Yu, Rongjie
  • Tian, Ye
• Publication Date: 2022-9

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 14088-14103
• Serial:
  • IEEE Transactions on Intelligent Transportation Systems
  • Volume: 23
  • Issue Number: 9
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 1524-9050
  • Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979

Subject/Index Terms

• TRT Terms: Intelligent vehicles; Quality control; Road tests; Testing; Vehicle safety
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01866151
• Record Type: Publication
• Files: TRIS
• Created Date: Nov 30 2022 10:59AM