主催: 一般社団法人 日本機械学会
会議名: ロボティクス・メカトロニクス 講演会2019
開催日: 2019/06/05 - 2019/06/08
Recently, researches related to autonomous ships and decision support system for seafarers are actively carried out. In order to realize autonomous ships and decision support systems, the obstacle detection is one of important technologies. In this paper, YOLOv3 which is one of obstacle detection software using AI has been examined to detect other ships during the navigation. The pre-trained weight file provided by YOLO is applied. VGA camera, HD video camera and 360 degrees camera were tested to compare the obstacles detection performance.