The Control and Navigation of Autonomous Surface Vehicles
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: 30 April 2025 | Viewed by 19
Special Issue Editors
Interests: systems and control theory; machining learning; reinforcement learning; computational intelligence, and its applications in marine engineering
Special Issues, Collections and Topics in MDPI journals
Interests: offshore integrated renewable energy system; dynamics of offshore structures; multibody hydrodynamic interaction and wave interference; ship-bottom; ship-bank; ship-lock; ship-ship interactions
Special Issues, Collections and Topics in MDPI journals
Interests: maneuvering modeling; guidance and control systems; collision avoidance; data acquisition (DAQ) and developing prototypes of autonomous surface ships
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the rapid advancement of modern control and navigation technologies, autonomous surface vehicles (USVs) are evolving into more integrated, interoperable, efficient and adaptive systems, suitable for executing a wide range of complex ocean tasks. Recently, researchers have increasingly used intelligent control and advanced navigation technologies, including autonomous perception and positioning, real-time decision-making, mission planning and collaborative formation, to deal with the real-world challenges characterized by high uncertainty, variability and unpredictability. The goal of this Special Issue is to enhance the reliability, robustness and accuracy of control and navigation, endowing USVs with autonomous perception, adaptive intelligent decision-making and control capabilities and further facilitating their applications. We invite researchers from both academia and industry to submit original articles in the following areas:
- Advanced sensing technology;
- Multi-source data fusion;
- Autonomous positioning and navigation;
- Obstacle avoidance and path planning in dynamic ocean environments;
- Application of artificial intelligence in USVs;
- Intelligent decision-making framework design in complex ocean environments;
- Adaptive methods and high-precision control in USVs;
- Self-organizing network technology in USVs;
- Heterogeneous USV collaborative control;
- Simulation and modeling of USVs.
Prof. Dr. Defeng Wu
Dr. Zhiming Yuan
Dr. Haitong Xu
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
- autonomous surface vehicles (USVs)
- autonomous positioning and navigation
- intelligent decision-making
- adaptive control
- collaborative control
- sensing technology
- artificial intelligence
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