1. Application of Convolutional Neural Network (CNN) to Recognize Ship Structures.
- Author
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Lim, Jae-Jun, Kim, Dae-Won, Hong, Woon-Hee, Kim, Min, Lee, Dong-Hoon, Kim, Sun-Young, and Jeong, Jae-Hoon
- Subjects
CONVOLUTIONAL neural networks ,DRONE aircraft delivery ,OFFSHORE structures ,COMMERCIAL aeronautics ,DELIVERY of goods ,SHIPS - Abstract
The purpose of this paper is to study the recognition of ships and their structures to improve the safety of drone operations engaged in shore-to-ship drone delivery service. This study has developed a system that can distinguish between ships and their structures by using a convolutional neural network (CNN). First, the dataset of the Marine Traffic Management Net is described and CNN's object sensing based on the Detectron2 platform is discussed. There will also be a description of the experiment and performance. In addition, this study has been conducted based on actual drone delivery operations—the first air delivery service by drones in Korea. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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