ReviewSensors (Basel, Switzerland)2023
Survey on the Developments of Unmanned Marine Vehicles: Intelligence and Cooperation.
Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- HydroAir: An Air-Propelled Surface Vehicle for Autonomous Navigation and 3D Reconstruction in Shallow and Obstacle-Rich Aquatic Environments.Sensors (Basel, Switzerland) · 2026Article
- Single-Axis Rotational Inertial Navigation Systems for USVs: A Review of Key Technologies.Micromachines · 2026Review
- Path Planning for USVs in Complex Marine Environments Based on an Improved Hybrid TD3 Algorithm.Sensors (Basel, Switzerland) · 2026Article
- FPGA-Based CNN Acceleration on Zynq-7020 for Embedded Ship Recognition in Unmanned Surface Vehicles.Sensors (Basel, Switzerland) · 2026Article
- Numerical Investigation of the Bending, Torsional, and Hydrostatic Pressure Responses of Hybrid Kenaf/Flax/Glass Fiber Composite Shell Structures for Unmanned Maritime Vehicles.Materials (Basel, Switzerland) · 2026Article
- An Integrated Experimental System for Unmanned Underwater Vehicle Swarm Control.Sensors (Basel, Switzerland) · 2025Article
- Modeling and Experimental Validation of a Bionic Underwater Robot with Undulating and Flapping Composite Propulsion.Biomimetics (Basel, Switzerland) · 2025Article
- ATRON: Autonomous trash retrieval for oceanic neatness.Frontiers in robotics and AI · 2025Article
- Variable Structure Controller for Energy Savings in an Underwater Sensor Platform.Sensors (Basel, Switzerland) · 2024Article
- SGK-Net: A Novel Navigation Scene Graph Generation Network.Sensors (Basel, Switzerland) · 2024Article
- Design and Implementation of a Low-Cost Intelligent Unmanned Surface Vehicle.Sensors (Basel, Switzerland) · 2024Article
- Enhancement and Optimization of Underwater Images and Videos Mapping.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
With the recent development of artificial intelligence (AI) and information and communication technology, manned vehicles operated by humans used on the ground, air, and sea are evolving into unmanned vehicles (UVs) that operate without human intervention. In particular, unmanned marine vehicles (UMVs), including unmanned underwater vehicles (UUVs) and unmanned surface vehicles (USVs), have the potential to complete maritime tasks that are unachievable for manned vehicles, lower the risk of man power, raise the power required to carry out military missions, and reap huge economic benefits. The aim of this review is to identify past and current trends in UMV development and present insights into future UMV development. The review discusses the potential benefits of UMVs, including completing maritime tasks that are unachievable for manned vehicles, lowering the risk of human intervention, and increasing power for military missions and economic benefits. However, the development of UMVs has been relatively tardy compared to that of UVs used on the ground and in the air due to adverse environments for UMV operation. This review highlights the challenges in developing UMVs, particularly in adverse environments, and the need for continued advancements in communication and networking technologies, navigation and sound exploration technologies, and multivehicle mission planning technologies to improve UMV cooperation and intelligence. Furthermore, the review identifies the importance of incorporating AI and machine learning technologies in UMVs to enhance their autonomy and ability to perform complex tasks. Overall, this review provides insights into the current state and future directions for UMV development.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.