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Development of Computer Vision-Enhanced Smart Golf Ball Retriever
http://hdl.handle.net/10112/00019946
http://hdl.handle.net/10112/00019946a4c899ba-92a6-4535-a96e-a51b958d09ec
名前 / ファイル | ライセンス | アクション |
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Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||
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公開日 | 2020-04-01 | |||||
タイトル | ||||||
タイトル | Development of Computer Vision-Enhanced Smart Golf Ball Retriever | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | departmental bulletin paper | |||||
著者 |
Lee, Shun-Liang
× Lee, Shun-Liang× Lin, Pang-Chieh× Lin, Sheng-Jie× Kung, Huang-Kuang |
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概要 | ||||||
内容記述タイプ | Other | |||||
内容記述 | An automatic vehicle system was developed to assist golfers in collecting golf balls from a practice field. Computer vision methodology was utilized to enhance the detection of golf balls in shallow and/or deep grass regions. The free software OpenCV was used in this project because of its powerful features and supported repository. The homemade golf ball picker was built with a smart recognition function for golf balls and can lock onto targets by itself. A set of field tests was completed in which the rate of golf ball recognition was as high as 95%. We report that this homemade smart golf ball picker can reduce the tremendous amount of labor associated with having to gather golf balls scattered throughout a practice field. | |||||
書誌情報 |
Science and technology reports of Kansai University = 関西大学理工学研究報告 巻 62, p. 67-74, 発行日 2020-03-20 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 04532198 | |||||
書誌レコードID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AA12314657 | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
出版者 | ||||||
出版者 | Kansai University | |||||
出版者(他言語) | ||||||
値 | 関西大学 | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | 関西大学 | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Kansai University |
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Cite as
Lee, Shun-Liang, Lin, Pang-Chieh, Lin, Sheng-Jie, Kung, Huang-Kuang, 2020, Development of Computer Vision-Enhanced Smart Golf Ball Retriever: Kansai University, 67–74 p.
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