Toward Enhanced Support for Ship Sailing

被引:4
作者
Cafaro, Massimo [1 ]
Epicoco, Italo [1 ]
Pulimeno, Marco [1 ]
Sansebastiano, Emanuele [2 ]
机构
[1] Univ Salento, Dept Engn Innovat, I-73100 Lecce, Italy
[2] Fincantieri NexTech, I-19020 Follo, La Spezia, Italy
关键词
Ship detection; deep learning; lidar; AIS receiver; situation awareness; image processing; OBJECT DETECTION; VISUAL SURVEILLANCE; BORNE SAR; TRACKING; ALGORITHM; IMAGES; FUSION;
D O I
10.1109/ACCESS.2023.3303808
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Ship sailing is a complex endeavour, requiring carefully considered proactive and reactive strategies in choosing the course of action that best suits the various events to be managed. Humans are already supported by different technologies for sailing, however these technologies are usually available in isolation. In this paper we show how to use simultaneously three different technologies by fusing their information in order to provide enhanced support for ship sailing. To the best of our knowledge no similar approach is reported in the literature from an operational point of view. In particular, we show how to fuse the video acquired from a camera with the information available from a radar/Lidar and an AIS receiver. The video frames are analyzed in order to automatically detect surrounding ships and seamarks, the Lidar is used to determine the average or minimum distance from the ship to the acquired targets and finally the AIS receiver logs are queried to determine, if available, useful information related to the surrounding ships, such as their geographic location, type of ship etc. Our experimental results are promising and encouraging. We believe that the simultaneous use of these technologies is a step towards fully autonomous ship sailing.
引用
收藏
页码:87047 / 87061
页数:15
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