Automated Test Case Generation and Virtual Assessment Framework for UN Regulation on Automated Lane Keeping Systems

Validation of highly automated or autonomous vehicles is nowadays still a major challenge for the automotive industry. Furthermore, the homologation of ADAS/AD vehicles according to global regulations is getting more essential for their safe development and deployment around the world. In order to assure that the autonomous driving function is able to cope with the huge number of possible situations during operation, comprehensive testing of the functions is required. However, conventional testing approaches such as driving distance-based validation approach in the real world, can be time- and cost-consuming. Therefore, a scenario-based virtual validation and testing method is considered to be a proper solution. In this paper, the authors propose a virtual assessment framework using a fully automated test case generation method. This framework is embedded into the continuous development and validation process. The authors conduct a detailed case study on an automated lane keep system (ALKS) function according to the UNECE regulation, hereby presenting the underlying framework and method. The authors utilize AVL ADAS Load Matrix to automatically generate test cases guided by a coverage metric and optimize the critical-case-finding process within a large parameter space to identify functional boundaries. The authors show the results of testing an ALKS system where the quality of testing is assured by the given quality metrics, while the effort of executing the test scenarios is reduced. Results obtained from initial test runs together with identified functional boundaries, form the basis for further development and validation steps. For the latter, the generated test scenarios can be re-used in a Hardware-in-the-Loop (HiL) environment, to allow for efficient performance, safety and regression testing throughout the whole development process. In terms of homologation, the presented testing process furthermore offers the opportunity to test and release the developed systems in a virtual world, before final homologation on proving ground and public road is conducted.

• Record URL:
  https://doi.org/10.4271/2021-01-0870
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/01487191
• Supplemental Notes:
  • Abstract reprinted with permission of SAE International.
• Authors:
  • Tao, Jianbo
  • Klueck, Florian
  • Felbinger, Hermann
  • Nica, Mihai
  • Zieher, Franz
  • Wolf, Christoph
  • Wang, Cheng
• Conference:
  • SAE WCX Digital Summit
  • Date: 2021-4-13 to 2021-4-15
• Publication Date: 2021-4-6

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Serial:
  • SAE Technical Paper
  • Publisher: Society of Automotive Engineers (SAE)
  • ISSN: 0148-7191
  • EISSN: 2688-3627
  • Serial URL: http://papers.sae.org/

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Driver support systems; Forecasting; Hardware in the loop simulation; Validation; Vehicle tests
• Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01783231
• Record Type: Publication
• Source Agency: SAE International
• Report/Paper Numbers: 2021-01-0870
• Files: TRIS, SAE
• Created Date: Sep 27 2021 9:59AM