International Journal of Automotive Engineering
Online ISSN : 2185-0992
Print ISSN : 2185-0984
ISSN-L : 2185-0992
Research Paper
Detection of Damaged Road Paints of Crosswalks by Focusing on Multi-layered Features
Takuma ItoKyoichi TohriyamaMinoru Kamata
著者情報
ジャーナル オープンアクセス

2019 年 10 巻 4 号 p. 356-364

詳細
抄録
In this study, we aim to develop a detection system of damaged crosswalks as a basic component of a digital map localization system. In rural areas, because the road paints of crosswalks are sometimes damaged, the features on which the existing methods focus for detecting them, such as rectangular shapes with side edges, are not clear. Thus, we focus on multi-layered faint features: existence of the white-band bottom shape, distribution of the white-band bottoms, and shape of the white-band candidates. Through an experiment on public roads, we confirm the practical performance of the proposed system.
著者関連情報
© 2019 Society of Automotive Engineers of Japan, Inc

This article is licensed under a Creative Commons [Attribution-NonCommercial-ShareAlike 4.0 International] license.
https://creativecommons.org/licenses/by-nc-sa/4.0/
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