Citation

Machida T, Shitaoka K. Trans. Soc. Automot. Eng. Jpn. 2019; 50(5): 1440-1445.

Copyright

(Copyright © 2019, Society of Automotive Engineers of Japan)

DOI

10.11351/jsaeronbun.50.1440

PMID

unavailable

Abstract

In assessments of advanced driving assistance systems(ADASs), an index of assessment quality is currently only running distance of field operational tests(FOTs). In this paper, we propose a novel index which expresses comprehensiveness of all the real scenes by classifying features (e.g. road length, road curvature, shape of intersection etc). We also propose a practical method of efficiently designing the assessment scenarios based on the proposed index. The results show that the assessment scenarios cover most of the real scenes.

Language: ja

Keywords

Safety; Intelligent vehicle; Test/Evaluation; FOT; Real world modeling; Virtual assessment