TY - CONF A1 - Becker, Matthias A1 - Balzer, Micha Niklas A1 - Riedlmüller, Karin A1 - Schick, Bernhard A1 - Neidlein, Daniel A2 - Beidl, Christian T1 - Attribute Development of Active Lane Departure Warning Systems T2 - International Symposium on Development Methodology N2 - The proposed contribution addresses the growing need for systematic and efficient development methods for assisted and automated driving features. Active Lane Departure Warning (ALDW) systems with correcting steering interventions are the specific object of this research. Due to NCAP requirements ALDW systems are widespread in modern cars, but often lack drivers’ approval, as several related studies have shown. Causes are assumed to lie in unspecified attribute requirement metrics and missing target values. Based on typical ALDW usage scenarios on different road types, such as freeway, highway and country road, an advanced catalogue of subjective evaluation criteria was developed and deployed in a comprehensive proband study with experts involving four distinct ALDW equipped passenger cars. Characteristic driving maneuvers with the intention to provoke controlled ALDW interventions complemented the subjective assessment with objective data. Statistically correlating derived objective key performance indicators with the respective subjective ratings established a link between drivers’ impressions and measurable system behavior. These dependencies allowed the conclusion of target values for a certain range of desired subjective ALDW characteristics fulfilling the initial requisites. KW - Automated Driving KW - Advanced Driver Assistance Systems KW - Objective Evaluation KW - Attribute KW - METAVI Y1 - 2021 UR - https://opus4.kobv.de/opus4-hs-kempten/frontdoor/index/index/docId/1180 SN - 978-3-981-69717-9 SP - 1 EP - 10 PB - AVL Deutschland CY - Wiesbaden ER -