| Item type |
SIG Technical Reports(1) |
| 公開日 |
2022-09-09 |
| タイトル |
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|
タイトル |
前景の障害物を考慮した二車線道路における走行車両の追跡に関する研究 |
| タイトル |
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言語 |
en |
|
タイトル |
Study on the Tracking of Vehicles on Two-lane Under Effect of Foreground Obstacles |
| 言語 |
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言語 |
jpn |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_18gh |
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資源タイプ |
technical report |
| 著者所属 |
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日本大学 |
| 著者所属 |
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日本大学 |
| 著者所属 |
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日本大学 |
| 著者所属 |
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日本大学 |
| 著者所属(英) |
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en |
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Nihon University |
| 著者所属(英) |
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en |
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Nihon University |
| 著者所属(英) |
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en |
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Nihon University |
| 著者所属(英) |
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en |
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Nihon University |
| 著者名 |
呉, ー帆
矢澤, 翔大
新妻, 清純
黒岩, 孝
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| 著者名(英) |
Yifan, Wu
Syota, Yazawa
Kiyozumi, Niizuma
Takashi, Kuroiwa
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| 論文抄録 |
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内容記述タイプ |
Other |
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内容記述 |
Accidents nearby intersections account for almost half on road shape classifications. If dangerous driving such as malicious tailgating will be predicted by tracking the vehicle nearby the intersection, it may be possible to prevent traffic accidents. It seems to be easy for drone to detect vehicles relatively at the right above intersection, but flight over the road is prohibited by the aviation law. Therefore, we have studied on a method for detecting vehicles by fractal analysis of drone video taken from safe airspace beside the road. In this study, we will present a technique to reduce the influence of foreground obstacles such as roadside trees that prevent of our method. |
| 論文抄録(英) |
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内容記述タイプ |
Other |
|
内容記述 |
Accidents nearby intersections account for almost half on road shape classifications. If dangerous driving such as malicious tailgating will be predicted by tracking the vehicle nearby the intersection, it may be possible to prevent traffic accidents. It seems to be easy for drone to detect vehicles relatively at the right above intersection, but flight over the road is prohibited by the aviation law. Therefore, we have studied on a method for detecting vehicles by fractal analysis of drone video taken from safe airspace beside the road. In this study, we will present a technique to reduce the influence of foreground obstacles such as roadside trees that prevent of our method. |
| 書誌レコードID |
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収録物識別子タイプ |
NCID |
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収録物識別子 |
AA11515904 |
| 書誌情報 |
研究報告高度交通システムとスマートコミュニティ（ITS）
巻 2022-ITS-90,
号 5,
p. 1-4,
発行日 2022-09-09
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| ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
2188-8965 |
| Notice |
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SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. |
| 出版者 |
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言語 |
ja |
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出版者 |
情報処理学会 |
IPSJ-ITS22090005.pdf (2.5 MB)
