Dimensionality reduction and identification of valid parameter bounds for the efficient calibration of automated driving functions

The industrialization of automated driving functions according to level 3 requires an efficient test and calibration concept to deal with an increased complexity, growing customer demands, and a larger vehicle fleet offered. Therefore, a method for a complexity reduction of the calibration parameter space is presented. In the two-step approach, a qualitative sensitivity analysis is used to identify valid regions in the search space and subsequently decrease dimensionality based on the parameter-specific global influences. The reduced parameter space and sensitivity information can then serve as a starting point for an efficient calibration process on the target hardware. To examine the method’s potential, the authors' approach is applied to the parameter space of an automated driving function. The results expose clear dependencies between parameters and driving scenarios and allow an exclusion of parameter space dimensions based on sensitivity values. The predefined search space can be narrowed down to valid regions using the parameter range identification approach. Finally, the findings are validated with a quantitative variance-based sensitivity analysis. The validation confirms that the authors' method provides equivalent results with a comparably smaller number of system evaluations.

• Record URL:
  • https://doi.org/10.1007/s41104-019-00043-z
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/23655127
• Supplemental Notes:
  • © Springer International Publishing Switzerland 2019.
• Authors:
  • Fraikin, Nicolas
  • 0000-0002-6520-101X
  • Funk, Kilian
  • Frey, Michael
  • 0000-0003-1452-1360
  • Gauterin, Frank
• Publication Date: 2019-6

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 75-91
• Serial:
  • Automotive and Engine Technology
  • Volume: 4
  • Issue Number: 1-2
  • Publisher: Springer International Publishing
  • ISSN: 2365-5127
  • Serial URL: http://link.springer.com/journal/41104

Subject/Index Terms

• TRT Terms: Automation; Calibration; Driving; Level 3 driving automation; Sensitivity analysis
• Uncontrolled Terms: Complexity
• Subject Areas: Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01706214
• Record Type: Publication
• Files: TRIS
• Created Date: May 28 2019 4:50PM