@article{ref1,
title="Test coverage index of ADAS assessment - searching optimal courses by comprehending a variety of real scenes -",
journal="Transactions of Society of Automotive Engineers of Japan",
year="2019",
author="Machida, Takashi and Shitaoka, Kazuya",
volume="50",
number="5",
pages="1440-1445",
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.<p /><p>Language: ja</p>",
language="ja",
issn="0287-8321",
doi="10.11351/jsaeronbun.50.1440",
url="http://dx.doi.org/10.11351/jsaeronbun.50.1440"
}