Novel Technologies and Achievements of Transport and Logistics in Marine Science

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Ocean Engineering".

Deadline for manuscript submissions: closed (5 August 2024) | Viewed by 869

Special Issue Editor


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Guest Editor

Special Issue Information

Dear Colleagues,

For the past decade, global megatrends have affected various branches of the global economy together with co-related research and their disciplines. Marine science and engineering are not spared either, especially in the context of maritime transport and logistics. The crucial impact of maritime transport and logistics on the global economy is undisputed. The fundamental cause of megatrends and change is widespread digitization. The scope this widespread digitization is related to autonomous ships, smart solutions applied in float vehicles and infrastructure, digitization of waterways (through the application of sensors and communication networks), cutting-edge autonomous navigation technologies and for all aspects of the maritime operation, and more.

Although certain maritime sectors benefit from digitization more than others; this is especially true since companies have been able to collect and analyze unprecedented quantities of data, owing to the use of sensors (particularly smart sensors), monitoring instrumentation, accompanying devices and equipment (e.g., microprocessors or communication units), which make it possible to convert measurements into a readable signal simply by means of sensing technology. Recent developments in virtual reality, augmented reality, artificial intelligent technology, and digital twins/shadows/models have accelerated research on autonomous float vehicles and infrastructure within maritime transport and logistics. These all attract the attention of researchers in this field.

This Special Issue is primarily concerned with the following topics: diversity and integration of digital applications within marine science and engineering (e.g., data standardization and advanced analytics, digitization of supply chains), high-tech application, the future of work forms in the context of various novel technologies application (work forms in a digitalized business environment, the context of cobots and robotics applied in maritime transport), engineering aspects of digitization and automation in the context of maritime logistics management (including augmented reality, virtual reality, mixed reality, digital twin, digital shadow, cyber–physical systems, IoT, simulation models, and issues concerning optimized and flexible adaptation of processes and operations, processes and flows to new business models, customer preferences and market conditions). These are just the topics selection, as this Special Issue is intended to be an introduction to the wide waters of offshore innovation.

The Guest Editor invites researchers and industry representatives in the global communities of maritime transport, logistics, and accompanied production to contribute original research papers, review articles, and empirical studies to stimulate the debate within the scope of examinations on the various novel technologies and achievements, addressed in the keywords below.

Dr. Mariusz Kostrzewski
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Marine Science and Engineering is an international peer-reviewed open access monthly journal published by MDPI.

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Keywords

  • artificial intelligence
  • autonomous operation
  • autonomous navigation
  • cobots
  • cybersecurity
  • digital model
  • digital shadow
  • digital twin
  • intelligent waterways
  • smart port
  • smart shipping
  • applied robotics

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Published Papers (1 paper)

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22 pages, 11273 KiB  
Article
Identification and Positioning Method of Bulk Cargo Terminal Unloading Hopper Based on Monocular Vision Three-Dimensional Measurement
by Ziyang Shen, Jiaqi Wang, Yujie Zhang, Luocheng Zheng, Chao Mi and Yang Shen
J. Mar. Sci. Eng. 2024, 12(8), 1282; https://doi.org/10.3390/jmse12081282 - 30 Jul 2024
Viewed by 335
Abstract
Rapid identification and localization of dry bulk cargo hoppers are currently core issues in the automation control of gantry cranes at dry bulk terminals. The current conventional method relies on LiDAR systems for the identification and positioning of bulk unloading hoppers. However, this [...] Read more.
Rapid identification and localization of dry bulk cargo hoppers are currently core issues in the automation control of gantry cranes at dry bulk terminals. The current conventional method relies on LiDAR systems for the identification and positioning of bulk unloading hoppers. However, this approach is complex and costly. In contrast, GPS-based positioning solutions for bulk unloading hoppers are prone to damage due to the vibrations generated during the operation process. Therefore, in this paper, a hopper localization system based on monocular camera vision is proposed to locate the position of the bulk unloading hopper. The hopper identification and localization process are divided into three stages. The first stage uses the improved YOLOv5 model to quickly and roughly locate the hopper target. The second stage uses morphological geometrical features to locate the corner points of the hopper target. The third stage determines the three-dimensional coordinates of the hopper target by solving the position of the corner points in the world coordinate system through the PnP (Perspective-n-Point) algorithm. The experimental results show that the average positioning accuracy of the coordinates of the method is above 93%, demonstrating the accuracy and effectiveness of the method. Full article
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