@techreport{oai:ipsj.ixsq.nii.ac.jp:00225008,
 author = {奥濱, 眞聖 and 比嘉, 聖 and 山田, 孝治 and 神里, 志穂子 and Masakiyo, Okuhama and Sho, Higa and Koji, Yamada and Shihoko, Kamisato},
 issue = {28},
 month = {Mar},
 note = {視線を使った電動車いすの安全な走行にはルート上にある人や障害物を検知し，それに対応した動作が必要である．本研究では電動車いすの搭乗者に深度カメラを取り付けることで視野画像を取得し，YOLO を用いて画像から人を検知する．検知された人までの距離や視野画像への入り方によって停止，減速の命令を電動車いすに送る．, Safe driving of an electric wheelchair using gaze requires the detection of people and obstacles along the route and movement in response to these objects. In this research, a depth camera is attached to a user of an electric wheelchair to acquire a field-of-view image, and YOLO is used to detect people from the image. Depending on the distance to the detected person and how the person enters the field of view image, the system sends commands to the electric wheelchair to stop or decelerate.},
 title = {人物を検出した際の電動車いすの制御},
 year = {2023}
}