@inproceedings{oai:ipsj.ixsq.nii.ac.jp:00183479,
 author = {小野, 龍一 and 室崎, 之典 and 斉藤, 佑祈 and 中野, 亜希人 and 大淵, 康成 and 羽田, 久一 and Ono, Ryuichi and Murosaki, Yukinori and Saito, Yuki and Nakano, Akito and Obuchi, Yasunari and Hada, Hisakazu},
 book = {エンタテインメントコンピューティングシンポジウム2017論文集},
 month = {Sep},
 note = {ドローンの位置を音で取得する手段としてマイクロフォンアレイを用いた方法がある.しかしその方法では位置しか取得できず個体の識別はできない.そこで本研究では音量センサーを装着した複数のPCを羽音をから特定のパターンを出すドローンを用いて個体識別と位置の取得を可能とするシステムを提案する., Detecting a position of a drone has been conducted by using microphone array in previous re-searches. However, this method could only acquire a position of drone, and this does not identify each drone.In this research, we propose a system that distinguishes individual drones and their estimated location, usingpropeller hum sound obtained by microphone implemented to multiple microcomputer boards. To distinguishsuch difference, we first made the micro computer to learn the different propeller sound of each drone. Asa result, we successfully identified position of drone with high accuracy, with only small amount of selectedfeature We have also succeeded to identify drone’s position with a measurement error of 20cm to 30cm in2 meters range.},
 pages = {145--150},
 publisher = {情報処理学会},
 title = {ドローンの羽音を利用して個体識別及び位置情報を検出するシステムの提案},
 volume = {2017},
 year = {2017}
}