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

Fraikin, Nicolas; Funk, Kilian; Frey, Michael; Gauterin, Frank

Abstract:
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, our 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. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000096461
Veröffentlicht am 11.07.2019
Originalveröffentlichung
DOI: 10.1007/s41104-019-00043-z
Coverbild
Zugehörige Institution(en) am KIT Institut für Fahrzeugsystemtechnik (FAST)
Publikationstyp Zeitschriftenaufsatz
Jahr 2019
Sprache Englisch
Identifikator ISSN: 2365-5127, 2365-5135
KITopen-ID: 1000096461
Erschienen in Automotive and engine technology
Band 4
Heft 1-2
Seiten 75–91
Vorab online veröffentlicht am 09.05.2019
Schlagworte Sensitivity analysis, Complexity reduction, Automated driving
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