Target Designation of Straight Road Lane Departure Scenario and ELKS Calibration

Abstract

It is one of the most serious problems in advanced driver assistance systems (ADAS) field to find target values of Key Performance Indicators (KPIs) and to be able to calibrate these systems to achieve the desired comfort and safety. In this study, a scenario related to the lane-keeping assist system (LKAS) of the emergency lane-keeping system (ELKS) has been selected as the system to be worked on and the "Target Designation" (TD) method is proposed for the explained problem. The obtained target matrices (TM) are used for the calibration of the ELKS controller on the determined operating points. As a first step of the TD procedure, KPIs were defined for the scenario and data were collected from a vehicle that was determined as a benchmark vehicle. According to the KPI values obtained from this vehicle, optimal parameter sets were obtained for each operating point by implementing genetic algorithm (GA) and non-linear optimization (NLO) methods on the ELKS controller of a benchmark vehicle.

Keywords

• target designation
• emergency lane keeping system
• ADAS calibration
• KPI

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