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- 當間 栄作
- 沖縄工業高等専門学校
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- 多田隈 光太朗
- 沖縄工業高等専門学校
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- 知念 響記
- 沖縄工業高等専門学校
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- タンスリヤボン スリヨン
- 沖縄工業高等専門学校
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- 姉崎 隆
- 沖縄工業高等専門学校
書誌事項
- タイトル別名
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- Wild Animal Detection and Tracking Drone System Using Centerline Extraction
- チュウシンセン チュウシュツ オ モチイタ ドローン ニ ヨル ヤセイ ドウブツ ノ ハッケン オヨビ ツイセキ システム ノ テイアン
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<p>In recent years, damage by wild animals has become a serious problem, primarily in rural areas in Japan. In 2018, the amount of crop damage was estimated at approximately 15.7 billion yen. As a solution to this problem, a wild animal detection and expulsion system by drone has been devised, however, there are problems where the FPV operation requires human cost and the drone is operational only in a narrow area. It is essential that autonomous wide-area long-distance flight is required to realize the practical and full-scale use of drones. The authors have been developing a non-GPS autonomous control drone system for power line inspection, animal detection, and tracking. In this study, we propose a detection and tracking system with autonomous wide-area flight drones to prevent damage by wild animals. We verified the effectiveness of our combination of a deep learning system trained by images taken by a drone equipped with a camera having a wide field of view and flying at low altitude for image magnification, and our centerline extraction method for more accurate discrimination of wild boars.</p>
収録刊行物
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- 電気学会論文誌D(産業応用部門誌)
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電気学会論文誌D(産業応用部門誌) 141 (2), 155-160, 2021-02-01
一般社団法人 電気学会
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キーワード
詳細情報 詳細情報について
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- CRID
- 1391412881287696256
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- NII論文ID
- 130007979755
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- NII書誌ID
- AN10012320
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- ISSN
- 13488163
- 09136339
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- NDL書誌ID
- 031285970
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可