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Special Issue "Navigation, Localization and Applications for Unmanned Marine Vehicles and Systems"

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Ocean Remote Sensing".

Deadline for manuscript submissions: 31 March 2024 | Viewed by 693

Special Issue Editor

Department of Electronic Engineering, Chosun University, Gwangju, Republic of Korea
Interests: mobile robots; marine vehicles; autonomous vehicles; navigation; estimation

Special Issue Information

Dear Colleagues,

The development of autonomous or partially autonomous underwater vehicles and systems has made many tasks that previously depended on manned vehicles or remote and indirect manual operations possible. As an important tool of ocean exploration, unmanned underwater surface vehicles and systems can be used for scientific research, such as underwater terrain recognition, seafloor mapping, and marine ecological monitoring. In addition, they also play an important role in marine resource exploration and development, underwater rescue, and military reconnaissance. Compared with fixed marine sensors, unmanned vehicles and systems with some autonomy can conduct oceanographic surveys with higher resolution and quality, which is an important development trend in marine exploration. However, in the underwater environment, the communication, positioning, tracking and navigation of underwater systems are still very challenging due to the difficulty of wireless communication and the use of the global navigation satellite system. In order to solve such problems, research on acoustic base line systems, estimation techniques and other tools to assist underwater positioning and navigation emerge in an endless stream, and also provide new ideas for reliable trajectory/path tracking and obstacle avoidance algorithms in unmanned marine vehicles.

It is our pleasure to announce the launch of a new Special Issue in Remote Sensing, whose goal is to collect research results on the application of unmanned marine vehicles and systems in marine mission monitoring, navigation and positioning, and its latest development prospects. Research topics include, but are not limited to, surface/underwater vehicles, navigation and control, underwater acoustic communication, motion planning for tracking and the path and trajectory, new advances in the cooperative navigation of multiple vehicles and systems, and the use of machine learning and intelligence in navigation and positioning.

Dr. Nak Yong Ko
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at 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. Remote Sensing is an international peer-reviewed open access semimonthly 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 2700 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.


  • unmanned surface/underwater vehicles
  • navigation/localization
  • acoustic communication
  • motion planning
  • cooperative navigation of multiple vehicles and systems
  • guidance, tracking, and control
  • ocean monitoring
  • sensor fusion for navigation and positioning
  • machine learning and AI for marine navigation

Published Papers (1 paper)

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Demonstration of the Feasibility of the Korean eLoran System as a Resilient PNT in a Testbed
Remote Sens. 2023, 15(14), 3586; - 18 Jul 2023
Viewed by 443
With the increasing utilization of location information, attempts to improve the safety of absolute positioning coordinates, which have depended on global navigation satellite systems (GNSSs), such as the Global Positioning System (GPS), are underway. Among these, enhanced long range navigation (eLoran) is the [...] Read more.
With the increasing utilization of location information, attempts to improve the safety of absolute positioning coordinates, which have depended on global navigation satellite systems (GNSSs), such as the Global Positioning System (GPS), are underway. Among these, enhanced long range navigation (eLoran) is the most technically developed system. In Korea, related technologies have been developed since 2016, and a testbed for eLoran performance evaluation, which is currently in operation as a pilot service, was completed in 2021. We analyze the position accuracy of the eLoran pilot service to use it as an alternative when GNSS usage is challenging within Korea’s eLoran testbed. We evaluated the accuracy of the absolute position using the eLoran system by sailing up to 160 km away from the Incheon testbed transmitter according to four navigation stages (inland waterway, port approach, coastal, and ocean) classified by the International Maritime Organization (IMO). To validate the eLoran positioning performance in which an additional secondary factor (ASF) map is not provided, we propose a differential GPS (DGPS) position-based ASF estimation technique. Based on this study, Korea’s eLoran system can calculate the absolute position with an accuracy of approximately 15 m with 95% probability at the port-approach stage. Full article
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