夜航海を行う自動運航船に向けた障害物検知システム

抄録

Recently, the self-driving system for automobiles and the driving support system have been actively developed. In the shipping industry, the research related to autonomous and remotely controlled ships has been carried out to reduce seafarer's work load, support the seafarer’s shortage, decrease the operational cost and improve the working environment. However, many autonomous ship studies do not consider the recognition problem of other ships and obstacles using cameras during the night navigation.

In this paper, the recognition problem of other ships by the camera during the night navigation is discussed. The existing object detection library "YOLO v3" has been tested. Three processes of gamma correction, HSV conversion, and gray scale conversion were performed on the image for the object detection, and the recognition rates of four images including the original image were compared.