The Proceedings of the Transportation and Logistics Conference
Online ISSN : 2424-3175
2023.32
Session ID : TL6-3
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A Study on Data Fusion for Ship Detection Using Multiple Sensors
*Yasuyuki NIWA
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Abstract

On ship navigation field, one of the most important operation is collision avoidance. To avoid collision, it is essential to acquire other ships. As of now, navigators’ eyes and navigational devices such as RADAR and AIS (Automatic Identification System) are used for the acquisition. Recently other technologies and devices such as image processing technology using deep learning, smartphones and LiDAR have been proposed as new sensors. It is worth to use multiple sensors to detect other ships. On the other hand, data fusion technology called as association is needed. In this paper, the characteristics of each sensor including advantages and disadvantages were described. As preliminary research, the gaps of distance between ships, direction, course over ground and speed over ground of the target ship based on RADAR data and AIS data on a ferry were shown.

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© 2023 The Japan Society of Mechanical Engineers
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