Detection of Damaged Road Paints of Crosswalks by Focusing on Multi-layered Features
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 s...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Society of Automotive Engineers of Japan, Inc.
2019-10-01
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| Series: | International Journal of Automotive Engineering |
| Online Access: | https://www.jstage.jst.go.jp/article/jsaeijae/10/4/10_20194124/_article/-char/ja |
| _version_ | 1797356728484888576 |
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| author | Takuma Ito Kyoichi Tohriyama Minoru Kamata |
| author_facet | Takuma Ito Kyoichi Tohriyama Minoru Kamata |
| author_sort | Takuma Ito |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T14:31:47Z |
| format | Article |
| id | doaj.art-1d8fe5a304fe4df586235b6e11303c0a |
| institution | Directory Open Access Journal |
| issn | 2185-0992 |
| language | English |
| last_indexed | 2024-03-08T14:31:47Z |
| publishDate | 2019-10-01 |
| publisher | Society of Automotive Engineers of Japan, Inc. |
| record_format | Article |
| series | International Journal of Automotive Engineering |
| spelling | doaj.art-1d8fe5a304fe4df586235b6e11303c0a2024-01-12T08:14:16ZengSociety of Automotive Engineers of Japan, Inc.International Journal of Automotive Engineering2185-09922019-10-0110435636410.20485/jsaeijae.10.4_356Detection of Damaged Road Paints of Crosswalks by Focusing on Multi-layered FeaturesTakuma Ito0Kyoichi Tohriyama1Minoru Kamata2The University of TokyoToyota MotorThe University of TokyoIn 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.https://www.jstage.jst.go.jp/article/jsaeijae/10/4/10_20194124/_article/-char/ja |
| spellingShingle | Takuma Ito Kyoichi Tohriyama Minoru Kamata Detection of Damaged Road Paints of Crosswalks by Focusing on Multi-layered Features International Journal of Automotive Engineering |
| title | Detection of Damaged Road Paints of Crosswalks by Focusing on Multi-layered Features |
| title_full | Detection of Damaged Road Paints of Crosswalks by Focusing on Multi-layered Features |
| title_fullStr | Detection of Damaged Road Paints of Crosswalks by Focusing on Multi-layered Features |
| title_full_unstemmed | Detection of Damaged Road Paints of Crosswalks by Focusing on Multi-layered Features |
| title_short | Detection of Damaged Road Paints of Crosswalks by Focusing on Multi-layered Features |
| title_sort | detection of damaged road paints of crosswalks by focusing on multi layered features |
| url | https://www.jstage.jst.go.jp/article/jsaeijae/10/4/10_20194124/_article/-char/ja |
| work_keys_str_mv | AT takumaito detectionofdamagedroadpaintsofcrosswalksbyfocusingonmultilayeredfeatures AT kyoichitohriyama detectionofdamagedroadpaintsofcrosswalksbyfocusingonmultilayeredfeatures AT minorukamata detectionofdamagedroadpaintsofcrosswalksbyfocusingonmultilayeredfeatures |