中心線抽出を用いたドローンによる野生動物の発見及び追跡システムの提案

カテゴリ: 論文誌(論文単位)

グループ名: 【D】産業応用部門

発行日: 2021/02/01

タイトル(英語): Wild Animal Detection and Tracking Drone System Using Centerline Extraction

著者名: 當間　栄作（沖縄工業高等専門学校），多田隈　光太朗（沖縄工業高等専門学校），知念　響記（沖縄工業高等専門学校），タンスリヤボン　スリヨン（沖縄工業高等専門学校），姉崎　隆（沖縄工業高等専門学校）

著者名(英語): Eisaku Tohma (Okinawa National College of Technogy), Kotaro Tadakuma (Okinawa National College of Technogy), Hibiki Chinen (Okinawa National College of Technogy), Tansuriyavong Suriyon (Okinawa National College of Technogy), Takashi Anezaki (Okinawa Natio

キーワード: 広域自律飛行，Drone統合ナビゲーション，インフラ構造物，携帯電話公衆回線_x000D_　　autonomous wide-area flight，Integrated Drone Navigation System，Infrastructure Objects，public cellular network

要約(英語): 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.

本誌: 電気学会論文誌D（産業応用部門誌） Vol.141 No.2 （2021）　特集：ドローンとロボット組み込み/サスティナブルシステム

本誌掲載ページ: 155-160 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejias/141/2/141_155/_article/-char/ja/