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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: 15 September 2023 | Viewed by 81
Special Issue Editor
Interests: mobile robots; marine vehicles; autonomous vehicles; navigation; estimation
Special Issue Information
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
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. 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 2500 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
- 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