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• W2309605902 abstract "It has been just started that vessel broadcast own navigational information using with AIS and listeners on land can use them (e.g. Vessel Traffic Information Service Center : VTIS is able to use them for controlling vessel stream). However, 80% of Japanese vessel does not have duty to carry that device, for example. We are not able to gather the all information via AIS. This is not a problem of Japan, but the problem in the world. Therefore, the radar observation is still required for those who are going to grasp vessel traffic onboard and onshore. Especially, it is useful for judgment of the vessel's encountering situation on land (e.g. VTIS Center) that the neighboring traffic information is transmitted from that vessel to the land and it improves the shore-based radar observation in accuracy. For the purpose of using vessel traffic information on land, this paper presents a way to identify traffic information based on vessel's radar images, to transmit it to the land, and to visualize it for a VTIS operator. A radar installed on the training ship Fukae-Maru belongs to Kobe University, Faculty of Maritime Science is connected with the control box onboard that adjusts and receives radar scanning signal independently of the original operation, namely, measuring or tracing echo targets on the console by the Officer Of Watch. And that control box creates echo image file. The authors developed the application software to identify other vessel movements using that image files, to transmit the results to the laboratory room via satellite communication system. The length of vessel is estimated from the number of pixels in the image. And the information is visualized as Bird's eye view with background scene created by viewing 3-D data diverted form the ship handling simulator. The viewing eye position and direction are able to be full controlled by the land operator. The viewing model of vessel is determined by estimated its length." @default.
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• W2309605902 date "2004-01-01" @default.
• W2309605902 modified "2023-09-25" @default.
• W2309605902 title "Identification of Vessel Traffic Information based on Radar Echo Images and Use on Land" @default.
• W2309605902 doi "https://doi.org/10.9749/jin.111.235" @default.
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