Attribute Development of Active Lane Departure Warning Systems
- 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 respectiveThe 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.…
Author: | Matthias BeckerORCiD, Micha Niklas Balzer, Karin Riedlmüller, Bernhard SchickORCiD, Daniel Neidlein |
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Identifier: | 978-3-981-69717-9 OPAC HS OPAC extern |
Parent Title (English): | International Symposium on Development Methodology |
Publisher: | AVL Deutschland |
Place of publication: | Wiesbaden |
Editor: | Christian Beidl |
Document Type: | conference proceeding (article) |
Conference: | 9th International Symposium on Development Methodology, 9.-10. November 2021, Wiesbaden, Germany |
Language: | English |
Date of Publication (online): | 2021/11/09 |
Year of first Publication: | 2021 |
Tag: | METAVI Advanced Driver Assistance Systems; Attribute; Automated Driving; Objective Evaluation |
Number of pages: | 10 Seiten |
First Page: | 1 |
Last Page: | 10 |
Institutes: | IFM - Institut für Fahrerassistenz und vernetzte Mobilität |
Dewey Decimal Classification: | 5 Naturwissenschaften und Mathematik |
6 Technik, Medizin, angewandte Wissenschaften | |
Research focus: | FSP2: Mobilität |
FSP4: Soziale Innovationen | |
Publication Lists: | Becker, Matthias |
Schick, Bernhard | |
Riedlmüller, Karin | |
Research Project: | METAVI - Menschenzentrierte Technologien und Entwicklungsmethoden für das automatisierte Fahren mittels Digitalisierung und Virtualisierung |
Publication reviewed: | begutachtet |
Release Date: | 2022/03/29 |