Innovative Marine Navigation

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: 25 July 2024 | Viewed by 1293

Special Issue Editors

Faculty of Maritime Studies, University of Rijeka, Rijeka, Croatia
Interests: intelligent logistics solutions; ICT; cybersecurity; forensics
Faculty of Maritime Studies, University of Rijeka, Rijeka, Croatia
Interests: ICT; logistics; port comunity systems; human resource management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The main goal of this Special Issue is to contribute to the research of the most recent developments in the area related to marine navigation, including the latest technologies, processes and their impact on sustainable shipping operations.

This Special Issue will examine the ways how maritime navigation software, hardware, processes and methodologies have been improved recently, providing the shipping industry with better visibility into vessel movements, increasing the efficiency of the operations, enabling safer routes and enhancing sustainable sea operations. It will be equally focused on navigation technologies and processes used to tackle the navigational challenges and enable digital transformation towards a smart shipping paradigm.

Topics related to the economic, environmental and sustainability effects of recent advances in sea navigation are also the focus of this Special Issue.

The motivation for this Special Issue stems from the lack of existing research focused on maritime navigation. Authors are invited to submit theoretical or empirical papers dealing with this topic. All types of articles—literature-based, empirical research, case studies containing methodologies, frameworks, and best practices for embarking on the digital transformation of the sea navigation—are very welcome.

Submissions should focus on the following topics:

  • Autonomous Technology and navigation
  • Weather Alerts
  • Development of interactive maps and graphical displays
  • Automatic Waypoint Placement
  • Changes in navigation tools and technologies (5G and satellite technologies)
  • Real-time tracking
  • Automatic route planning
  • Smart route management
  • Smart defense technologies and collision avoidance
  • Big data in sea navigation
  • Implementation of disruptive technologies in navigation (blockchain, IoT and machine learning)

Prof. Dr. Saša Aksentijević
Prof. Dr. Edvard Tijan
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • maritime navigation
  • autonomous shipping
  • smart routes
  • maritime safety and security
  • digital transformation

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

13 pages, 8766 KiB  
Article
The Polarized Light Field Enables Underwater Unmanned Vehicle Bionic Autonomous Navigation and Automatic Control
by Haoyuan Cheng, Qi Chen, Xiangwei Zeng, Haoxun Yuan and Linjie Zhang
J. Mar. Sci. Eng. 2023, 11(8), 1603; https://doi.org/10.3390/jmse11081603 - 16 Aug 2023
Cited by 2 | Viewed by 854
Abstract
In response to the critical need for autonomous navigation capabilities of underwater vehicles independent of satellites, this paper studies a novel navigation and control method based on underwater polarization patterns. We propose an underwater course angle measurement algorithm and develop underwater polarization detection [...] Read more.
In response to the critical need for autonomous navigation capabilities of underwater vehicles independent of satellites, this paper studies a novel navigation and control method based on underwater polarization patterns. We propose an underwater course angle measurement algorithm and develop underwater polarization detection equipment. By establishing the automatic control model of an ROV (Remote Operated Vehicle) with polarization information, we develop a strapdown navigation method combining polarization and inertial information. We verify the feasibility of angle measurement based on polarization in the water tank. The measurement accuracy of polarization azimuth is less than 0.69°. Next, we conduct ROV navigation at different water depths in a real underwater environment. At a depth of 5 m, the MSE (Mean Square Error) and SD (Standard Deviation) of angle error are 16.57° and 4.07°, respectively. Underwater navigation accuracy of traveling 100 m is better than 5 m within a depth of 5 m. Key technologies such as underwater polarization detection, multi-source information fusion, and the ROV automatic control model with polarization have been broken through. This method can effectively improve ROV underwater work efficiency and accuracy. Full article
(This article belongs to the Special Issue Innovative Marine Navigation)
Show Figures

Figure 1

Back to TopTop